Zhenhuan_VITS_fast_finetuning.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/zixian2021/Zhenhuan-VITS-fast-fine-tuning/blob/main/Zhenhuan_VITS_fast_finetuning.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fwJ-lNbOtp-9"
      },
      "source": [
        "#STEP 0  \n",
        "##本笔记本必须在GPU模式下运行，可以运行上方的nvidia-smi查看GPU是否装载。若没有，点击左上角>修改>笔记本设置，把硬件加速改成GPU。  \n",
        "##！！！开始之前请仔细阅读[数据集上传格式要求](https://github.com/Plachtaa/VITS-fast-fine-tuning/blob/main/DATA.MD)避免后续因为读取不到音频文件而报错。！！！\n",
        "##Note: GPU is necessary for this notebook. Check whether your GPU is loaded before you start.Please read [Requirements for uploaded data format](https://github.com/Plachtaa/VITS-fast-fine-tuning/blob/main/DATA_EN.MD) carefully to avoid any possible error caused by voice file not found.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "03vVx0mDtuwN",
        "outputId": "61610586-f994-472b-e5ca-29066f03e066"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# 查看GPU配置\n",
        "# Check GPU configuration\n",
        "!nvidia-smi"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-XEdEXyTHVfD",
        "outputId": "465c7b28-3c95-4be3-d84b-5d226897f3d3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
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            "Building wheels for collected packages: pyopenjtalk, eng_to_ipa, ffmpy\n",
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            "Installing collected packages: rfc3986, pydub, opencc, ko_pron, jamo, ffmpy, eng_to_ipa, websockets, unidecode, uc-micro-py, sniffio, semantic-version, roman, python-multipart, pypinyin, pyopenjtalk, proces, orjson, num_thai, multidict, h11, frozenlist, backports.functools-lru-cache, async-timeout, aiofiles, yarl, uvicorn, resampy, mdit-py-plugins, linkify-it-py, indic_transliteration, huggingface-hub, cn2an, anyio, aiosignal, starlette, librosa, httpcore, gradio-client, aiohttp, httpx, fastapi, gradio\n",
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            "    Uninstalling librosa-0.10.0.post2:\n",
            "      Successfully uninstalled librosa-0.10.0.post2\n",
            "Successfully installed aiofiles-23.1.0 aiohttp-3.8.4 aiosignal-1.3.1 anyio-3.6.2 async-timeout-4.0.2 backports.functools-lru-cache-1.6.4 cn2an-0.5.19 eng_to_ipa-0.0.2 fastapi-0.95.0 ffmpy-0.3.0 frozenlist-1.3.3 gradio-3.24.1 gradio-client-0.0.5 h11-0.14.0 httpcore-0.16.3 httpx-0.23.3 huggingface-hub-0.13.3 indic_transliteration-2.3.37 jamo-0.4.1 ko_pron-1.3 librosa-0.9.1 linkify-it-py-2.0.0 mdit-py-plugins-0.3.3 multidict-6.0.4 num_thai-0.0.5 opencc-1.1.1 orjson-3.8.9 proces-0.1.4 pydub-0.25.1 pyopenjtalk-0.3.0 pypinyin-0.48.0 python-multipart-0.0.6 resampy-0.4.2 rfc3986-1.5.0 roman-4.0 semantic-version-2.10.0 sniffio-1.3.0 starlette-0.26.1 uc-micro-py-1.0.1 unidecode-1.3.6 uvicorn-0.21.1 websockets-10.4 yarl-1.8.2\n",
            "/content/Zhenhuan-VITS-fast-fine-tuning/monotonic_align\n",
            "Compiling core.pyx because it changed.\n",
            "[1/1] Cythonizing core.pyx\n",
            "/usr/local/lib/python3.9/dist-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /content/Zhenhuan-VITS-fast-fine-tuning/monotonic_align/core.pyx\n",
            "  tree = Parsing.p_module(s, pxd, full_module_name)\n",
            "running build_ext\n",
            "building 'monotonic_align.core' extension\n",
            "creating build\n",
            "creating build/temp.linux-x86_64-3.9\n",
            "x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.9/dist-packages/numpy/core/include -I/usr/include/python3.9 -c core.c -o build/temp.linux-x86_64-3.9/core.o\n",
            "x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -g -fwrapv -O2 -Wl,-Bsymbolic-functions -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.9/core.o -o /content/Zhenhuan-VITS-fast-fine-tuning/monotonic_align/monotonic_align/core.cpython-39-x86_64-linux-gnu.so\n",
            "/content/Zhenhuan-VITS-fast-fine-tuning\n"
          ]
        }
      ],
      "source": [
        "#@title STEP 1 复制代码库并安装运行环境\n",
        "#@markdown #STEP 1 (3 min)\n",
        "#@markdown ##复制代码库并安装运行环境\n",
        "#@markdown ##Clone repository & Build environment\n",
        "! git clone https://github.com/zixian2021/Zhenhuan-VITS-fast-fine-tuning.git\n",
        "!pip install imageio==2.4.1\n",
        "!pip install --upgrade youtube-dl\n",
        "!pip install moviepy\n",
        "!pip install git+https://github.com/openai/whisper.git\n",
        "!python3 -m pip install -U demucs\n",
        "\n",
        "%cd /content/Zhenhuan-VITS-fast-fine-tuning\n",
        "!pip install -r requirements.txt\n",
        "\n",
        "# build monotonic align\n",
        "%cd monotonic_align/\n",
        "!mkdir monotonic_align\n",
        "!python setup.py build_ext --inplace\n",
        "%cd ..\n",
        "!mkdir pretrained_models\n",
        "!cp -r /content/Zhenhuan-VITS-fast-fine-tuning/whisper/transcribe.py /usr/local/lib/python3.9/dist-packages/whisper\n",
        "!cp -r /content/Zhenhuan-VITS-fast-fine-tuning/whisper/utils.py /usr/local/lib/python3.9/dist-packages/whisper\n",
        "import whisper\n",
        "# download data for fine-tuning\n",
        "#!wget https://huggingface.co/datasets/Plachta/sampled_audio4ft/resolve/main/sampled_audio4ft_v2.zip\n",
        "#!unzip sampled_audio4ft_v2.zip\n",
        "# create necessary directories\n",
        "!mkdir video_data\n",
        "!mkdir raw_audio\n",
        "!mkdir separated_data\n",
        "!mkdir denoised_audio\n",
        "!mkdir custom_character_voice\n",
        "!mkdir segmented_character_voice"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "j1Q43oXND7Ih",
        "outputId": "26740e9b-02ff-4376-843f-49cc8bbd33f7"
      },
      "outputs": [
        {
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-4-4e10f8df33ea>\u001b[0m in \u001b[0;36m<cell line: 8>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;31m#@markdown Mount Google drive for faster data upload\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdrive\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mdrive\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36mmount\u001b[0;34m(mountpoint, force_remount, timeout_ms, readonly)\u001b[0m\n\u001b[1;32m    101\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmountpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_ms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m120000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreadonly\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    102\u001b[0m   \u001b[0;34m\"\"\"Mount your Google Drive at the specified mountpoint path.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 103\u001b[0;31m   return _mount(\n\u001b[0m\u001b[1;32m    104\u001b[0m       \u001b[0mmountpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    105\u001b[0m       \u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mforce_remount\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36m_mount\u001b[0;34m(mountpoint, force_remount, timeout_ms, ephemeral, readonly)\u001b[0m\n\u001b[1;32m    130\u001b[0m   )\n\u001b[1;32m    131\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0mephemeral\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m     _message.blocking_request(\n\u001b[0m\u001b[1;32m    133\u001b[0m         \u001b[0;34m'request_auth'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'authType'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'dfs_ephemeral'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_sec\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m     )\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mblocking_request\u001b[0;34m(request_type, request, timeout_sec, parent)\u001b[0m\n\u001b[1;32m    175\u001b[0m       \u001b[0mrequest_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparent\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mparent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexpect_reply\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    176\u001b[0m   )\n\u001b[0;32m--> 177\u001b[0;31m   \u001b[0;32mreturn\u001b[0m \u001b[0mread_reply_from_input\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_sec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mread_reply_from_input\u001b[0;34m(message_id, timeout_sec)\u001b[0m\n\u001b[1;32m     95\u001b[0m     \u001b[0mreply\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_read_next_input_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     96\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mreply\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0m_NOT_READY\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreply\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 97\u001b[0;31m       \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.025\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     98\u001b[0m       \u001b[0;32mcontinue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     99\u001b[0m     if (\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ],
      "source": [
        "#@title （可选）加载Google云端硬盘 / Mount Google drive\n",
        "#@title (optional) \n",
        "\n",
        "#@markdown 加载Google云端硬盘（更快地上传数据集文件）  \n",
        "\n",
        "#@markdown Mount Google drive for faster data upload\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6OYzCPgynjR_"
      },
      "source": [
        "## Step2 数据准备"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zLVmYq6utc5w"
      },
      "source": [
        "###STEP 2.1 上传短音频（单条时长应该为\n",
        "### Short audio upload"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 217
        },
        "id": "Vmrlv3W7tc6a",
        "outputId": "4b99dc06-88cc-4eb2-ef0e-e31ef1d4d6eb"
      },
      "outputs": [
        {
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              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
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              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
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            ]
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          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Saving test.wav to test.wav\n",
            "Archive:  ./custom_character_voice/custom_character_voice.zip\n",
            "  End-of-central-directory signature not found.  Either this file is not\n",
            "  a zipfile, or it constitutes one disk of a multi-part archive.  In the\n",
            "  latter case the central directory and zipfile comment will be found on\n",
            "  the last disk(s) of this archive.\n",
            "unzip:  cannot find zipfile directory in one of ./custom_character_voice/custom_character_voice.zip or\n",
            "        ./custom_character_voice/custom_character_voice.zip.zip, and cannot find ./custom_character_voice/custom_character_voice.zip.ZIP, period.\n"
          ]
        }
      ],
      "source": [
        "#@markdown 上传选项1：运行该代码块会出现一个文件上传的入口  \n",
        "\n",
        "#@markdown Upload option 1: Running this code block will prompt you to upload a file.\n",
        "%run voice_upload.py --type zip\n",
        "!unzip ./custom_character_voice/custom_character_voice.zip -d ./custom_character_voice/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "az613CGToUrE"
      },
      "source": [
        "# step2.1 音频数据上传,支持多人对讲"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m1oj1uT-tCST"
      },
      "source": [
        "上传长音频 （单个不应长于20分钟）\n",
        "Long audio upload"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 58
        },
        "id": "v7-L01DEtCSa",
        "outputId": "6830851a-2b84-421b-f5b7-1a116f00cf83"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content/Zhenhuan-VITS-fast-fine-tuning\n"
          ]
        },
        {
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              "\n",
              "     <input type=\"file\" id=\"files-ace7b1fa-9838-49ba-8ffb-03d9d1eb4f13\" name=\"files[]\" multiple disabled\n",
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              "     <output id=\"result-ace7b1fa-9838-49ba-8ffb-03d9d1eb4f13\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
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              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
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              "      promise: fileDataPromise,\n",
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              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
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              "    do {\n",
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              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
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              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ],
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              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#@markdown 上传选项1：运行该代码块会出现一个文件上传的入口  \n",
        "\n",
        "#@markdown Upload option 1: Running this code block will prompt you to upload a file.\n",
        "%cd /content/Zhenhuan-VITS-fast-fine-tuning/\n",
        "%run voice_upload.py --type audio"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nX12hKg8tCSb",
        "outputId": "531c81b4-5d6e-4bf9-8759-1f552afc5809"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cp: cannot stat '../drive/MyDrive/long_audios//*': No such file or directory\n"
          ]
        }
      ],
      "source": [
        "#@markdown 上传选项2：若您装载了Google云端硬盘，可以直接从Google云端硬盘加载文件。将所有长音频文件上传至云端硬盘的同一个文件夹下，在下面填写文件夹路径：  \n",
        "\n",
        "#@markdown Upload option 2: If you have mounted Google drive, you can load your files from Google drive directly. Put all the long audios under one folder, and fill in the path to your folder below:\n",
        "AUDIO_FOLDER_PATH = \"../drive/MyDrive/long_audios/\"  #@param {type:\"string\"}\n",
        "!cp {AUDIO_FOLDER_PATH}/* ./raw_audio/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c0qKTQaotc6a",
        "outputId": "0dbd5c71-68b0-4e76-8fc2-4d1c9c73f4b3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cp: cannot stat '../drive/MyDrive/samples.zip': No such file or directory\n",
            "Archive:  ./custom_character_voice/custom_character_voice.zip\n",
            "  End-of-central-directory signature not found.  Either this file is not\n",
            "  a zipfile, or it constitutes one disk of a multi-part archive.  In the\n",
            "  latter case the central directory and zipfile comment will be found on\n",
            "  the last disk(s) of this archive.\n",
            "unzip:  cannot find zipfile directory in one of ./custom_character_voice/custom_character_voice.zip or\n",
            "        ./custom_character_voice/custom_character_voice.zip.zip, and cannot find ./custom_character_voice/custom_character_voice.zip.ZIP, period.\n"
          ]
        }
      ],
      "source": [
        "#@markdown 上传选项2：若您装载了Google云端硬盘，可以直接从Google云端硬盘加载文件。将`.zip`文件上传云端硬盘后，在下面填写文件路径：  \n",
        "\n",
        "#@markdown Upload option 2: If you have mounted Google drive, you can load your files from Google drive directly. After uploading your `.zip` file to Google drive, fill in the path to your file below:\n",
        "ZIP_PATH = \"../drive/MyDrive/samples.zip\"  #@param {type:\"string\"}\n",
        "!cp {ZIP_PATH} ./custom_character_voice/custom_character_voice.zip\n",
        "!unzip ./custom_character_voice/custom_character_voice.zip -d ./custom_character_voice/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7_vwsUkJtc6a"
      },
      "source": [
        "### STEP 2.3 上传视频（单个不应长于20分钟）\n",
        "### Video upload"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 41
        },
        "id": "DkTaeow5tc6a",
        "outputId": "c498cf83-e711-4999-d598-bfdde17be691"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-bd9a3762-692b-4084-b353-f6418eb3c297\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-bd9a3762-692b-4084-b353-f6418eb3c297\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
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              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
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              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#@markdown 上传选项1：运行该代码块会出现一个文件上传的入口  \n",
        "\n",
        "#@markdown Upload option 1: Running this code block will prompt you to upload a file.\n",
        "%run voice_upload.py --type video"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n3TNw6EGtc6a",
        "outputId": "f675e4fe-637d-406c-ffd3-b709acdd9fd7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cp: cannot stat '../drive/MyDrive/videos//*': No such file or directory\n"
          ]
        }
      ],
      "source": [
        "#@markdown 上传选项2：若您装载了Google云端硬盘，可以直接从Google云端硬盘加载文件。将所有视频文件上传至云端硬盘的同一个文件夹下，在下面填写文件夹路径:  \n",
        "\n",
        "#@markdown Upload option 2: If you have mounted Google drive, you can load your files from Google drive directly. Put all the videos under one folder, and fill in the path to your folder below:\n",
        "VIDEO_FOLDER_PATH = \"../drive/MyDrive/videos/\"  #@param {type:\"string\"}\n",
        "!cp {VIDEO_FOLDER_PATH}/* ./video_data/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pw1jAsDOomyn"
      },
      "source": [
        "# step2.2 音频数据切分，切分后的数据放在separated_data文件夹"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "3nuyCf0PLUok",
        "outputId": "7affcaf3-3efd-405b-ed10-ff0c2257658f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: pydub in /usr/local/lib/python3.9/dist-packages (0.25.1)\n",
            "总分段： 7\n",
            "取有效分段(大于2s)： 5\n"
          ]
        }
      ],
      "source": [
        "#根据静音将长语音段切分为短句\n",
        "!pip install pydub\n",
        "import os\n",
        "from pydub import AudioSegment\n",
        "from pydub.silence import split_on_silence\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "for file in os.listdir('./raw_audio/'):\n",
        "  \n",
        "  if file.endswith('.wav'):\n",
        "    index = file.split('.')[0]\n",
        "    file_path = './raw_audio/' + file\n",
        "    #print(file_path)\n",
        "\n",
        "    sound = AudioSegment.from_mp3(file_path)\n",
        "    loudness = sound.dBFS\n",
        "    #print(loudness)\n",
        " \n",
        "    chunks = split_on_silence(sound,\n",
        "    # must be silent for at least half a second,沉默半秒\n",
        "    min_silence_len=430,\n",
        " \n",
        "    # consider it silent if quieter than -16 dBFS\n",
        "    silence_thresh=-45,\n",
        "    keep_silence=400\n",
        " \n",
        "    )\n",
        "    print('总分段：', len(chunks))\n",
        " \n",
        "    # 放弃长度小于2秒的录音片段\n",
        "    for i in list(range(len(chunks)))[::-1]:\n",
        "      if len(chunks[i]) <= 2000:\n",
        "        chunks.pop(i)\n",
        "    print('取有效分段(大于2s)：', len(chunks))\n",
        " \n",
        "    for i, chunk in enumerate(chunks):\n",
        "      chunk.export(\"./separated_data/{0}_chunk{1}.wav\".format(index,i), format=\"wav\")\n",
        "    "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7jCBcqXiprie"
      },
      "source": [
        "# step2.3 分离出音频中的纯净人声，存放在vocal_data文件夹"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "5zL7IqO-6mRr"
      },
      "outputs": [],
      "source": [
        "#demucs 分离音轨，生成纯语音数据\n",
        "!mkdir ./vocal_data \n",
        "!mkdir ./demucs_data\n",
        "\n",
        "import os\n",
        "import torchaudio\n",
        "raw_audio_dir = \"./separated_data/\"\n",
        "vocal_dir = \"./vocal_data/\"\n",
        "\n",
        "for file in os.listdir(raw_audio_dir):\n",
        "\n",
        "    if file.endswith(\".wav\"):\n",
        "        os.system(f\"demucs -j 8 --two-stems=vocals {raw_audio_dir}{file} -o ./demucs_data\")\n",
        "\n",
        "\n",
        "for file in os.listdir(raw_audio_dir):\n",
        "  file = file.replace(\".wav\",\"\")\n",
        "  wav, sr = torchaudio.load(f\"./demucs_data/htdemucs/{file}/vocals.wav\",frame_offset=0,num_frames=-1,normalize=True,\n",
        "                            channels_first=True)\n",
        "  wav = wav.mean(dim=0).unsqueeze(0)\n",
        "  if(sr!=22050):\n",
        "    wav = torchaudio.transforms.Resample(orig_freq=sr, new_freq=22050)(wav)\n",
        "\n",
        "  torchaudio.save(vocal_dir+file+'.wav', wav, 22050, channels_first=True)\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "92uppsgOtzph"
      },
      "source": [
        "# step2.4 声纹识别，将分段的人声对应到各个说话人，存放于selected_character_wav\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cSlwEMCXtxZq",
        "outputId": "9a22b599-234a-43af-a39b-591e8a74d48f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "Cloning into 'Voiceprint'...\n",
            "remote: Enumerating objects: 61, done.\u001b[K\n",
            "remote: Counting objects: 100% (61/61), done.\u001b[K\n",
            "remote: Compressing objects: 100% (56/56), done.\u001b[K\n",
            "remote: Total 61 (delta 3), reused 0 (delta 0), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (61/61), 1.09 MiB | 4.08 MiB/s, done.\n",
            "/content/Voiceprint\n",
            "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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            "  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/c9/f7/7574f62f4fe299155f85b327afa24d20fc22c3e6dd25ad121a7db959f79f/flask_babel-3.0.1-py3-none-any.whl (11 kB)\n",
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            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.9/dist-packages (from markdown-it-py[linkify]>=2.0.0->gradio->visualdl>=2.1.1->mvector) (0.1.2)\n",
            "Requirement already satisfied: linkify-it-py<3,>=1 in /usr/local/lib/python3.9/dist-packages (from markdown-it-py[linkify]>=2.0.0->gradio->visualdl>=2.1.1->mvector) (2.0.0)\n",
            "Requirement already satisfied: starlette<0.27.0,>=0.26.1 in /usr/local/lib/python3.9/dist-packages (from fastapi->gradio->visualdl>=2.1.1->mvector) (0.26.1)\n",
            "Requirement already satisfied: rfc3986[idna2008]<2,>=1.3 in /usr/local/lib/python3.9/dist-packages (from httpx->gradio->visualdl>=2.1.1->mvector) (1.5.0)\n",
            "Requirement already satisfied: httpcore<0.17.0,>=0.15.0 in /usr/local/lib/python3.9/dist-packages (from httpx->gradio->visualdl>=2.1.1->mvector) (0.16.3)\n",
            "Requirement already satisfied: sniffio in /usr/local/lib/python3.9/dist-packages (from httpx->gradio->visualdl>=2.1.1->mvector) (1.3.0)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.9/dist-packages (from sympy->x2paddle->visualdl>=2.1.1->mvector) (1.3.0)\n",
            "Requirement already satisfied: h11>=0.8 in /usr/local/lib/python3.9/dist-packages (from uvicorn->gradio->visualdl>=2.1.1->mvector) (0.14.0)\n",
            "Requirement already satisfied: greenlet>=2.0.0 in /usr/local/lib/python3.9/dist-packages (from gevent>=0.13->geventhttpclient<=2.0.2,>=1.4.4->tritonclient[all]->visualdl>=2.1.1->mvector) (2.0.2)\n",
            "Requirement already satisfied: zope.event in /usr/local/lib/python3.9/dist-packages (from gevent>=0.13->geventhttpclient<=2.0.2,>=1.4.4->tritonclient[all]->visualdl>=2.1.1->mvector) (4.6)\n",
            "Requirement already satisfied: zope.interface in /usr/local/lib/python3.9/dist-packages (from gevent>=0.13->geventhttpclient<=2.0.2,>=1.4.4->tritonclient[all]->visualdl>=2.1.1->mvector) (6.0)\n",
            "Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.9/dist-packages (from httpcore<0.17.0,>=0.15.0->httpx->gradio->visualdl>=2.1.1->mvector) (3.6.2)\n",
            "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.9/dist-packages (from jsonschema>=3.0->altair>=4.2.0->gradio->visualdl>=2.1.1->mvector) (0.19.3)\n",
            "Requirement already satisfied: uc-micro-py in /usr/local/lib/python3.9/dist-packages (from linkify-it-py<3,>=1->markdown-it-py[linkify]>=2.0.0->gradio->visualdl>=2.1.1->mvector) (1.0.1)\n",
            "Installing collected packages: bce-python-sdk, geventhttpclient, Flask-Babel, visualdl, mvector\n",
            "Successfully installed Flask-Babel-3.0.1 bce-python-sdk-0.8.79 geventhttpclient-2.0.2 mvector-0.3.7 visualdl-2.5.1\n",
            "running install\n",
            "/usr/local/lib/python3.9/dist-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.9/dist-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.\n",
            "  warnings.warn(\n",
            "running bdist_egg\n",
            "running egg_info\n",
            "creating mvector.egg-info\n",
            "writing mvector.egg-info/PKG-INFO\n",
            "writing dependency_links to mvector.egg-info/dependency_links.txt\n",
            "writing requirements to mvector.egg-info/requires.txt\n",
            "writing top-level names to mvector.egg-info/top_level.txt\n",
            "writing manifest file 'mvector.egg-info/SOURCES.txt'\n",
            "reading manifest file 'mvector.egg-info/SOURCES.txt'\n",
            "adding license file 'LICENSE'\n",
            "writing manifest file 'mvector.egg-info/SOURCES.txt'\n",
            "installing library code to build/bdist.linux-x86_64/egg\n",
            "running install_lib\n",
            "creating build/bdist.linux-x86_64\n",
            "creating build/bdist.linux-x86_64/egg\n",
            "creating build/bdist.linux-x86_64/egg/mvector\n",
            "copying build/lib/mvector/predict.py -> build/bdist.linux-x86_64/egg/mvector\n",
            "creating build/bdist.linux-x86_64/egg/mvector/models\n",
            "copying build/lib/mvector/models/loss.py -> build/bdist.linux-x86_64/egg/mvector/models\n",
            "copying build/lib/mvector/models/ecapa_tdnn.py -> build/bdist.linux-x86_64/egg/mvector/models\n",
            "copying build/lib/mvector/models/__init__.py -> build/bdist.linux-x86_64/egg/mvector/models\n",
            "creating build/bdist.linux-x86_64/egg/mvector/data_utils\n",
            "copying build/lib/mvector/data_utils/audio.py -> build/bdist.linux-x86_64/egg/mvector/data_utils\n",
            "copying build/lib/mvector/data_utils/reader.py -> build/bdist.linux-x86_64/egg/mvector/data_utils\n",
            "copying build/lib/mvector/data_utils/collate_fn.py -> build/bdist.linux-x86_64/egg/mvector/data_utils\n",
            "copying build/lib/mvector/data_utils/utils.py -> build/bdist.linux-x86_64/egg/mvector/data_utils\n",
            "copying build/lib/mvector/data_utils/__init__.py -> build/bdist.linux-x86_64/egg/mvector/data_utils\n",
            "creating build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/augmentor/shift_perturb.py -> build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/augmentor/augmentation.py -> build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/augmentor/volume_perturb.py -> build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/augmentor/base.py -> build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/augmentor/speed_perturb.py -> build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/augmentor/noise_perturb.py -> build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/augmentor/__init__.py -> build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/augmentor/resample.py -> build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor\n",
            "copying build/lib/mvector/data_utils/featurizer.py -> build/bdist.linux-x86_64/egg/mvector/data_utils\n",
            "copying build/lib/mvector/trainer.py -> build/bdist.linux-x86_64/egg/mvector\n",
            "copying build/lib/mvector/__init__.py -> build/bdist.linux-x86_64/egg/mvector\n",
            "creating build/bdist.linux-x86_64/egg/mvector/utils\n",
            "copying build/lib/mvector/utils/logger.py -> build/bdist.linux-x86_64/egg/mvector/utils\n",
            "copying build/lib/mvector/utils/utils.py -> build/bdist.linux-x86_64/egg/mvector/utils\n",
            "copying build/lib/mvector/utils/__init__.py -> build/bdist.linux-x86_64/egg/mvector/utils\n",
            "copying build/lib/mvector/utils/record.py -> build/bdist.linux-x86_64/egg/mvector/utils\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/predict.py to predict.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/models/loss.py to loss.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/models/ecapa_tdnn.py to ecapa_tdnn.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/models/__init__.py to __init__.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/audio.py to audio.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/reader.py to reader.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/collate_fn.py to collate_fn.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/utils.py to utils.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/__init__.py to __init__.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor/shift_perturb.py to shift_perturb.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor/augmentation.py to augmentation.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor/volume_perturb.py to volume_perturb.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor/base.py to base.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor/speed_perturb.py to speed_perturb.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor/noise_perturb.py to noise_perturb.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor/__init__.py to __init__.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/augmentor/resample.py to resample.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/data_utils/featurizer.py to featurizer.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/trainer.py to trainer.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/__init__.py to __init__.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/utils/logger.py to logger.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/utils/utils.py to utils.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/utils/__init__.py to __init__.cpython-39.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/mvector/utils/record.py to record.cpython-39.pyc\n",
            "creating build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying mvector.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying mvector.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying mvector.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying mvector.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying mvector.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "zip_safe flag not set; analyzing archive contents...\n",
            "creating dist\n",
            "creating 'dist/mvector-0.3.2-py3.9.egg' and adding 'build/bdist.linux-x86_64/egg' to it\n",
            "removing 'build/bdist.linux-x86_64/egg' (and everything under it)\n",
            "Processing mvector-0.3.2-py3.9.egg\n",
            "Copying mvector-0.3.2-py3.9.egg to /usr/local/lib/python3.9/dist-packages\n",
            "Adding mvector 0.3.2 to easy-install.pth file\n",
            "\n",
            "Installed /usr/local/lib/python3.9/dist-packages/mvector-0.3.2-py3.9.egg\n",
            "Processing dependencies for mvector==0.3.2\n",
            "Searching for torchinfo==1.7.2\n",
            "Best match: torchinfo 1.7.2\n",
            "Adding torchinfo 1.7.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for torchaudio==0.13.1+cu116\n",
            "Best match: torchaudio 0.13.1+cu116\n",
            "Adding torchaudio 0.13.1+cu116 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pydub==0.25.1\n",
            "Best match: pydub 0.25.1\n",
            "Adding pydub 0.25.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for scikit-learn==1.2.2\n",
            "Best match: scikit-learn 1.2.2\n",
            "Adding scikit-learn 1.2.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for typeguard==3.0.1\n",
            "Best match: typeguard 3.0.1\n",
            "Adding typeguard 3.0.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for termcolor==2.2.0\n",
            "Best match: termcolor 2.2.0\n",
            "Adding termcolor 2.2.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for PyYAML==6.0\n",
            "Best match: PyYAML 6.0\n",
            "Adding PyYAML 6.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for soundfile==0.12.1\n",
            "Best match: soundfile 0.12.1\n",
            "Adding soundfile 0.12.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for ffmpeg-python==0.2.0\n",
            "Best match: ffmpeg-python 0.2.0\n",
            "Adding ffmpeg-python 0.2.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for resampy==0.2.2\n",
            "Best match: resampy 0.2.2\n",
            "Adding resampy 0.2.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for visualdl==2.5.1\n",
            "Best match: visualdl 2.5.1\n",
            "Adding visualdl 2.5.1 to easy-install.pth file\n",
            "Installing visualdl script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for tqdm==4.65.0\n",
            "Best match: tqdm 4.65.0\n",
            "Adding tqdm 4.65.0 to easy-install.pth file\n",
            "Installing tqdm script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for numpy==1.22.4\n",
            "Best match: numpy 1.22.4\n",
            "Adding numpy 1.22.4 to easy-install.pth file\n",
            "Installing f2py script to /usr/local/bin\n",
            "Installing f2py3 script to /usr/local/bin\n",
            "Installing f2py3.9 script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for librosa==0.9.1\n",
            "Best match: librosa 0.9.1\n",
            "Adding librosa 0.9.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for numba==0.56.4\n",
            "Best match: numba 0.56.4\n",
            "Adding numba 0.56.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for torch==1.13.1+cu116\n",
            "Best match: torch 1.13.1+cu116\n",
            "Adding torch 1.13.1+cu116 to easy-install.pth file\n",
            "Installing convert-caffe2-to-onnx script to /usr/local/bin\n",
            "Installing convert-onnx-to-caffe2 script to /usr/local/bin\n",
            "Installing torchrun script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for threadpoolctl==3.1.0\n",
            "Best match: threadpoolctl 3.1.0\n",
            "Adding threadpoolctl 3.1.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for joblib==1.1.1\n",
            "Best match: joblib 1.1.1\n",
            "Adding joblib 1.1.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for scipy==1.10.1\n",
            "Best match: scipy 1.10.1\n",
            "Adding scipy 1.10.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for typing-extensions==4.5.0\n",
            "Best match: typing-extensions 4.5.0\n",
            "Adding typing-extensions 4.5.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for importlib-metadata==6.1.0\n",
            "Best match: importlib-metadata 6.1.0\n",
            "Adding importlib-metadata 6.1.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for cffi==1.15.1\n",
            "Best match: cffi 1.15.1\n",
            "Adding cffi 1.15.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for future==0.18.3\n",
            "Best match: future 0.18.3\n",
            "Adding future 0.18.3 to easy-install.pth file\n",
            "Installing futurize script to /usr/local/bin\n",
            "Installing pasteurize script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for six==1.16.0\n",
            "Best match: six 1.16.0\n",
            "Adding six 1.16.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for onnx==1.13.1\n",
            "Best match: onnx 1.13.1\n",
            "Adding onnx 1.13.1 to easy-install.pth file\n",
            "Installing backend-test-tools script to /usr/local/bin\n",
            "Installing check-model script to /usr/local/bin\n",
            "Installing check-node script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for psutil==5.9.4\n",
            "Best match: psutil 5.9.4\n",
            "Adding psutil 5.9.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for attrdict==2.0.1\n",
            "Best match: attrdict 2.0.1\n",
            "Adding attrdict 2.0.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for tritonclient==2.31.0\n",
            "Best match: tritonclient 2.31.0\n",
            "Adding tritonclient 2.31.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for gradio==3.24.1\n",
            "Best match: gradio 3.24.1\n",
            "Adding gradio 3.24.1 to easy-install.pth file\n",
            "Installing gradio script to /usr/local/bin\n",
            "Installing upload_theme script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for rarfile==4.0\n",
            "Best match: rarfile 4.0\n",
            "Adding rarfile 4.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for x2paddle==1.4.0\n",
            "Best match: x2paddle 1.4.0\n",
            "Adding x2paddle 1.4.0 to easy-install.pth file\n",
            "Installing x2paddle script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for packaging==23.0\n",
            "Best match: packaging 23.0\n",
            "Adding packaging 23.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pandas==1.4.4\n",
            "Best match: pandas 1.4.4\n",
            "Adding pandas 1.4.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for matplotlib==3.7.1\n",
            "Best match: matplotlib 3.7.1\n",
            "Adding matplotlib 3.7.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for requests==2.27.1\n",
            "Best match: requests 2.27.1\n",
            "Adding requests 2.27.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for protobuf==3.20.3\n",
            "Best match: protobuf 3.20.3\n",
            "Adding protobuf 3.20.3 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for Pillow==8.4.0\n",
            "Best match: Pillow 8.4.0\n",
            "Adding Pillow 8.4.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for flask-babel==3.0.1\n",
            "Best match: flask-babel 3.0.1\n",
            "Adding flask-babel 3.0.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for Flask==2.2.3\n",
            "Best match: Flask 2.2.3\n",
            "Adding Flask 2.2.3 to easy-install.pth file\n",
            "Installing flask script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for bce-python-sdk==0.8.79\n",
            "Best match: bce-python-sdk 0.8.79\n",
            "Adding bce-python-sdk 0.8.79 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pooch==1.6.0\n",
            "Best match: pooch 1.6.0\n",
            "Adding pooch 1.6.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for decorator==4.4.2\n",
            "Best match: decorator 4.4.2\n",
            "Adding decorator 4.4.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for audioread==3.0.0\n",
            "Best match: audioread 3.0.0\n",
            "Adding audioread 3.0.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for setuptools==67.6.1\n",
            "Best match: setuptools 67.6.1\n",
            "Adding setuptools 67.6.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for llvmlite==0.39.1\n",
            "Best match: llvmlite 0.39.1\n",
            "Adding llvmlite 0.39.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for zipp==3.15.0\n",
            "Best match: zipp 3.15.0\n",
            "Adding zipp 3.15.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pycparser==2.21\n",
            "Best match: pycparser 2.21\n",
            "Adding pycparser 2.21 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for aiohttp==3.8.4\n",
            "Best match: aiohttp 3.8.4\n",
            "Adding aiohttp 3.8.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for geventhttpclient==2.0.2\n",
            "Best match: geventhttpclient 2.0.2\n",
            "Adding geventhttpclient 2.0.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for python-rapidjson==1.10\n",
            "Best match: python-rapidjson 1.10\n",
            "Adding python-rapidjson 1.10 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for grpcio==1.53.0\n",
            "Best match: grpcio 1.53.0\n",
            "Adding grpcio 1.53.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for websockets==10.4\n",
            "Best match: websockets 10.4\n",
            "Adding websockets 10.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for uvicorn==0.21.1\n",
            "Best match: uvicorn 0.21.1\n",
            "Adding uvicorn 0.21.1 to easy-install.pth file\n",
            "Installing uvicorn script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for semantic-version==2.10.0\n",
            "Best match: semantic-version 2.10.0\n",
            "Adding semantic-version 2.10.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for python-multipart==0.0.6\n",
            "Best match: python-multipart 0.0.6\n",
            "Adding python-multipart 0.0.6 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pydantic==1.10.7\n",
            "Best match: pydantic 1.10.7\n",
            "Adding pydantic 1.10.7 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for orjson==3.8.9\n",
            "Best match: orjson 3.8.9\n",
            "Adding orjson 3.8.9 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for mdit-py-plugins==0.3.3\n",
            "Best match: mdit-py-plugins 0.3.3\n",
            "Adding mdit-py-plugins 0.3.3 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for MarkupSafe==2.1.2\n",
            "Best match: MarkupSafe 2.1.2\n",
            "Adding MarkupSafe 2.1.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for markdown-it-py==2.2.0\n",
            "Best match: markdown-it-py 2.2.0\n",
            "Adding markdown-it-py 2.2.0 to easy-install.pth file\n",
            "Installing markdown-it script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for Jinja2==3.1.2\n",
            "Best match: Jinja2 3.1.2\n",
            "Adding Jinja2 3.1.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for huggingface-hub==0.13.3\n",
            "Best match: huggingface-hub 0.13.3\n",
            "Adding huggingface-hub 0.13.3 to easy-install.pth file\n",
            "Installing huggingface-cli script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for httpx==0.23.3\n",
            "Best match: httpx 0.23.3\n",
            "Adding httpx 0.23.3 to easy-install.pth file\n",
            "Installing httpx script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for gradio-client==0.0.5\n",
            "Best match: gradio-client 0.0.5\n",
            "Adding gradio-client 0.0.5 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for ffmpy==0.3.0\n",
            "Best match: ffmpy 0.3.0\n",
            "Adding ffmpy 0.3.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for fastapi==0.95.0\n",
            "Best match: fastapi 0.95.0\n",
            "Adding fastapi 0.95.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for altair==4.2.2\n",
            "Best match: altair 4.2.2\n",
            "Adding altair 4.2.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for aiofiles==23.1.0\n",
            "Best match: aiofiles 23.1.0\n",
            "Adding aiofiles 23.1.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for sympy==1.11.1\n",
            "Best match: sympy 1.11.1\n",
            "Adding sympy 1.11.1 to easy-install.pth file\n",
            "Installing isympy script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pytz==2022.7.1\n",
            "Best match: pytz 2022.7.1\n",
            "Adding pytz 2022.7.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for python-dateutil==2.8.2\n",
            "Best match: python-dateutil 2.8.2\n",
            "Adding python-dateutil 2.8.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for importlib-resources==5.12.0\n",
            "Best match: importlib-resources 5.12.0\n",
            "Adding importlib-resources 5.12.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pyparsing==3.0.9\n",
            "Best match: pyparsing 3.0.9\n",
            "Adding pyparsing 3.0.9 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for kiwisolver==1.4.4\n",
            "Best match: kiwisolver 1.4.4\n",
            "Adding kiwisolver 1.4.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for fonttools==4.39.3\n",
            "Best match: fonttools 4.39.3\n",
            "Adding fonttools 4.39.3 to easy-install.pth file\n",
            "Installing fonttools script to /usr/local/bin\n",
            "Installing pyftmerge script to /usr/local/bin\n",
            "Installing pyftsubset script to /usr/local/bin\n",
            "Installing ttx script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for cycler==0.11.0\n",
            "Best match: cycler 0.11.0\n",
            "Adding cycler 0.11.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for contourpy==1.0.7\n",
            "Best match: contourpy 1.0.7\n",
            "Adding contourpy 1.0.7 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for idna==3.4\n",
            "Best match: idna 3.4\n",
            "Adding idna 3.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for charset-normalizer==2.0.12\n",
            "Best match: charset-normalizer 2.0.12\n",
            "Adding charset-normalizer 2.0.12 to easy-install.pth file\n",
            "Installing normalizer script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for certifi==2022.12.7\n",
            "Best match: certifi 2022.12.7\n",
            "Adding certifi 2022.12.7 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for urllib3==1.26.15\n",
            "Best match: urllib3 1.26.15\n",
            "Adding urllib3 1.26.15 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for Babel==2.12.1\n",
            "Best match: Babel 2.12.1\n",
            "Adding Babel 2.12.1 to easy-install.pth file\n",
            "Installing pybabel script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for click==8.1.3\n",
            "Best match: click 8.1.3\n",
            "Adding click 8.1.3 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for itsdangerous==2.1.2\n",
            "Best match: itsdangerous 2.1.2\n",
            "Adding itsdangerous 2.1.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for Werkzeug==2.2.3\n",
            "Best match: Werkzeug 2.2.3\n",
            "Adding Werkzeug 2.2.3 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pycryptodome==3.17\n",
            "Best match: pycryptodome 3.17\n",
            "Adding pycryptodome 3.17 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for appdirs==1.4.4\n",
            "Best match: appdirs 1.4.4\n",
            "Adding appdirs 1.4.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for aiosignal==1.3.1\n",
            "Best match: aiosignal 1.3.1\n",
            "Adding aiosignal 1.3.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for frozenlist==1.3.3\n",
            "Best match: frozenlist 1.3.3\n",
            "Adding frozenlist 1.3.3 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for yarl==1.8.2\n",
            "Best match: yarl 1.8.2\n",
            "Adding yarl 1.8.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for async-timeout==4.0.2\n",
            "Best match: async-timeout 4.0.2\n",
            "Adding async-timeout 4.0.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for multidict==6.0.4\n",
            "Best match: multidict 6.0.4\n",
            "Adding multidict 6.0.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for attrs==22.2.0\n",
            "Best match: attrs 22.2.0\n",
            "Adding attrs 22.2.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for Brotli==1.0.9\n",
            "Best match: Brotli 1.0.9\n",
            "Adding Brotli 1.0.9 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for gevent==22.10.2\n",
            "Best match: gevent 22.10.2\n",
            "Adding gevent 22.10.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for h11==0.14.0\n",
            "Best match: h11 0.14.0\n",
            "Adding h11 0.14.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for linkify-it-py==2.0.0\n",
            "Best match: linkify-it-py 2.0.0\n",
            "Adding linkify-it-py 2.0.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for mdurl==0.1.2\n",
            "Best match: mdurl 0.1.2\n",
            "Adding mdurl 0.1.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for filelock==3.10.7\n",
            "Best match: filelock 3.10.7\n",
            "Adding filelock 3.10.7 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for sniffio==1.3.0\n",
            "Best match: sniffio 1.3.0\n",
            "Adding sniffio 1.3.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for rfc3986==1.5.0\n",
            "Best match: rfc3986 1.5.0\n",
            "Adding rfc3986 1.5.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for httpcore==0.16.3\n",
            "Best match: httpcore 0.16.3\n",
            "Adding httpcore 0.16.3 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for fsspec==2023.3.0\n",
            "Best match: fsspec 2023.3.0\n",
            "Adding fsspec 2023.3.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for starlette==0.26.1\n",
            "Best match: starlette 0.26.1\n",
            "Adding starlette 0.26.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for toolz==0.12.0\n",
            "Best match: toolz 0.12.0\n",
            "Adding toolz 0.12.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for jsonschema==4.3.3\n",
            "Best match: jsonschema 4.3.3\n",
            "Adding jsonschema 4.3.3 to easy-install.pth file\n",
            "Installing jsonschema script to /usr/local/bin\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for entrypoints==0.4\n",
            "Best match: entrypoints 0.4\n",
            "Adding entrypoints 0.4 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for mpmath==1.3.0\n",
            "Best match: mpmath 1.3.0\n",
            "Adding mpmath 1.3.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for greenlet==2.0.2\n",
            "Best match: greenlet 2.0.2\n",
            "Adding greenlet 2.0.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for zope.interface==6.0\n",
            "Best match: zope.interface 6.0\n",
            "Adding zope.interface 6.0 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for zope.event==4.6\n",
            "Best match: zope.event 4.6\n",
            "Adding zope.event 4.6 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for uc-micro-py==1.0.1\n",
            "Best match: uc-micro-py 1.0.1\n",
            "Adding uc-micro-py 1.0.1 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for anyio==3.6.2\n",
            "Best match: anyio 3.6.2\n",
            "Adding anyio 3.6.2 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Searching for pyrsistent==0.19.3\n",
            "Best match: pyrsistent 0.19.3\n",
            "Adding pyrsistent 0.19.3 to easy-install.pth file\n",
            "\n",
            "Using /usr/local/lib/python3.9/dist-packages\n",
            "Finished processing dependencies for mvector==0.3.2\n",
            "--2023-04-02 04:07:43--  https://drive.google.com/file/d/1CXqjEZjwIAy7_ggnoVitXZP3KOiumc26/view?usp=share_link\n",
            "Resolving drive.google.com (drive.google.com)... 74.125.69.102, 74.125.69.139, 74.125.69.113, ...\n",
            "Connecting to drive.google.com (drive.google.com)|74.125.69.102|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: unspecified [text/html]\n",
            "Saving to: ‘/content/Voiceprint/models/ecapa_tdnn_MelSpectrogram/best_model/model.pt’\n",
            "\n",
            "/content/Voiceprint     [ <=>                ]  74.22K  --.-KB/s    in 0.003s  \n",
            "\n",
            "2023-04-02 04:07:44 (21.9 MB/s) - ‘/content/Voiceprint/models/ecapa_tdnn_MelSpectrogram/best_model/model.pt’ saved [76005]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!git clone https://github.com/zixian2021/Voiceprint.git\n",
        "%cd /content/Voiceprint/\n",
        "\n",
        "!python -m pip install mvector -U -i https://pypi.tuna.tsinghua.edu.cn/simple\n",
        "!python setup.py install"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 重要：需要下载configs文件夹和model文件夹，手动放在voiceprint文件夹内：\n",
        "\n",
        "config：https://drive.google.com/drive/folders/14gJNd6Wty1Cm8Nca2QiYkYrzjUikb0W4?usp=share_link\n",
        "\n",
        "models：https://drive.google.com/drive/folders/1onxuAsj2C_qIRLypISn0v0n7XJ5TYJQR?usp=share_link"
      ],
      "metadata": {
        "id": "FA6IOYn9OSSm"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OwCqLA2imedv",
        "outputId": "a0b8feb8-f814-4bc7-b8a7-d32b742ac6f1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/Voiceprint\n",
            "[2023-04-02 04:31:33.702398 INFO   ] utils:print_arguments:18 - ----------- 配置文件参数 -----------\n",
            "[2023-04-02 04:31:33.704004 INFO   ] utils:print_arguments:21 - dataset_conf:\n",
            "[2023-04-02 04:31:33.706133 INFO   ] utils:print_arguments:28 - \tbatch_size: 64\n",
            "[2023-04-02 04:31:33.707761 INFO   ] utils:print_arguments:28 - \tchunk_duration: 3\n",
            "[2023-04-02 04:31:33.710443 INFO   ] utils:print_arguments:28 - \tdo_vad: False\n",
            "[2023-04-02 04:31:33.711770 INFO   ] utils:print_arguments:28 - \tlabel_list_path: dataset/label_list.txt\n",
            "[2023-04-02 04:31:33.714803 INFO   ] utils:print_arguments:28 - \tmin_duration: 0.5\n",
            "[2023-04-02 04:31:33.716120 INFO   ] utils:print_arguments:28 - \tnum_speakers: 3242\n",
            "[2023-04-02 04:31:33.718102 INFO   ] utils:print_arguments:28 - \tnum_workers: 4\n",
            "[2023-04-02 04:31:33.719795 INFO   ] utils:print_arguments:28 - \tsample_rate: 16000\n",
            "[2023-04-02 04:31:33.720656 INFO   ] utils:print_arguments:28 - \ttarget_dB: -20\n",
            "[2023-04-02 04:31:33.721740 INFO   ] utils:print_arguments:28 - \ttest_list: dataset/test_list.txt\n",
            "[2023-04-02 04:31:33.722998 INFO   ] utils:print_arguments:28 - \ttrain_list: dataset/train_list.txt\n",
            "[2023-04-02 04:31:33.724159 INFO   ] utils:print_arguments:28 - \tuse_dB_normalization: True\n",
            "[2023-04-02 04:31:33.725404 INFO   ] utils:print_arguments:21 - feature_conf:\n",
            "[2023-04-02 04:31:33.730523 INFO   ] utils:print_arguments:28 - \tf_max: 14000.0\n",
            "[2023-04-02 04:31:33.731626 INFO   ] utils:print_arguments:28 - \tf_min: 50.0\n",
            "[2023-04-02 04:31:33.734263 INFO   ] utils:print_arguments:28 - \thop_length: 320\n",
            "[2023-04-02 04:31:33.735281 INFO   ] utils:print_arguments:28 - \tn_fft: 1024\n",
            "[2023-04-02 04:31:33.737887 INFO   ] utils:print_arguments:28 - \tn_mels: 64\n",
            "[2023-04-02 04:31:33.740817 INFO   ] utils:print_arguments:28 - \tsample_rate: 16000\n",
            "[2023-04-02 04:31:33.742624 INFO   ] utils:print_arguments:28 - \twin_length: 1024\n",
            "[2023-04-02 04:31:33.744306 INFO   ] utils:print_arguments:21 - model_conf:\n",
            "[2023-04-02 04:31:33.748483 INFO   ] utils:print_arguments:28 - \tchannels: 512\n",
            "[2023-04-02 04:31:33.750203 INFO   ] utils:print_arguments:28 - \tembd_dim: 192\n",
            "[2023-04-02 04:31:33.752162 INFO   ] utils:print_arguments:21 - optimizer_conf:\n",
            "[2023-04-02 04:31:33.753635 INFO   ] utils:print_arguments:28 - \tlearning_rate: 0.001\n",
            "[2023-04-02 04:31:33.755046 INFO   ] utils:print_arguments:28 - \toptimizer: Adam\n",
            "[2023-04-02 04:31:33.756143 INFO   ] utils:print_arguments:28 - \tweight_decay: 1e-6\n",
            "[2023-04-02 04:31:33.757165 INFO   ] utils:print_arguments:21 - preprocess_conf:\n",
            "[2023-04-02 04:31:33.758084 INFO   ] utils:print_arguments:28 - \tfeature_method: MelSpectrogram\n",
            "[2023-04-02 04:31:33.758883 INFO   ] utils:print_arguments:21 - train_conf:\n",
            "[2023-04-02 04:31:33.759649 INFO   ] utils:print_arguments:28 - \tlog_interval: 100\n",
            "[2023-04-02 04:31:33.760423 INFO   ] utils:print_arguments:28 - \tmax_epoch: 30\n",
            "[2023-04-02 04:31:33.761231 INFO   ] utils:print_arguments:30 - use_model: ecapa_tdnn\n",
            "[2023-04-02 04:31:33.761956 INFO   ] utils:print_arguments:31 - ------------------------------------------------\n",
            "成功加载模型参数：models/ecapa_tdnn_MelSpectrogram/best_model/model.pt\n",
            "/content/Zhenhuan-VITS-fast-fine-tuning\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.9/dist-packages/torchaudio/functional/functional.py:571: UserWarning: At least one mel filterbank has all zero values. The value for `n_mels` (64) may be set too high. Or, the value for `n_freqs` (513) may be set too low.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "recognize as0\n",
            "recognize as0\n",
            "./vocal_data/test_chunk4.wav\n",
            "./vocal_data/test_chunk2.wav\n",
            "./vocal_data/test_chunk1.wav\n",
            "./vocal_data/test_chunk4.wav\n",
            "./vocal_data/test_chunk2.wav\n",
            "./vocal_data/test_chunk1.wav\n",
            "recognize as5\n"
          ]
        }
      ],
      "source": [
        "\n",
        "#提取分段后干净音频中对应说话人的音频\n",
        "import os\n",
        "import argparse\n",
        "import functools\n",
        "import torch\n",
        "from mvector.predict import MVectorPredictor\n",
        "from mvector.utils.utils import add_arguments, print_arguments\n",
        "\n",
        "%cd /content/Voiceprint/\n",
        "\n",
        "\n",
        "\n",
        "# !cp -r /content/drive/MyDrive/VoiceprintRecognition_Pytorch/configs ./\n",
        "# !cp -r /content/drive/MyDrive/VoiceprintRecognition_Pytorch/models ./\n",
        "\n",
        "\n",
        "predictor = MVectorPredictor(configs='configs/ecapa_tdnn.yml',\n",
        "                             model_path='models/ecapa_tdnn_MelSpectrogram/best_model/model.pt',\n",
        "                             use_gpu=False)\n",
        "\n",
        "%cd /content/Zhenhuan-VITS-fast-fine-tuning/\n",
        "!mkdir ./selected_character_wav\n",
        "#设定判定门限值，可调整\n",
        "threshold = 0.6\n",
        "\n",
        "#第一个说话人 甄嬛\n",
        "speaker_id = 0\n",
        "for file in os.listdir('/content/Zhenhuan-VITS-fast-fine-tuning/vocal_data/'):\n",
        "\n",
        "    speaker_wav = '/content/Zhenhuan-VITS-fast-fine-tuning/character/zhenhuan.wav' \n",
        "    \n",
        "    file_wav = './vocal_data/' + file\n",
        "    \n",
        "    dist = predictor.contrast(speaker_wav, file_wav)\n",
        "    if dist > threshold:\n",
        "      print('recognize as'+str(speaker_id))\n",
        "      os.system('mv {0} {1}'.format(file_wav, './selected_character_wav/'))\n",
        "\n",
        "#第二个说话人 皇上\n",
        "speaker_id = 1\n",
        "for file in os.listdir('./vocal_data/'):\n",
        "    speaker_wav = '/content/Zhenhuan-VITS-fast-fine-tuning/character/silang.wav' \n",
        "    file_wav = './vocal_data/' + file\n",
        "    \n",
        "    dist = predictor.contrast(speaker_wav, file_wav)\n",
        "    if dist > threshold:\n",
        "      print('recognize as'+str(speaker_id))\n",
        "\n",
        "      os.system('mv {0} {1}'.format(file_wav, './selected_character_wav/'))\n",
        "\n",
        "speaker_id = 2\n",
        "\n",
        "for file in os.listdir('./vocal_data/'):\n",
        "    speaker_wav = '/content/Zhenhuan-VITS-fast-fine-tuning/character/huafei.wav' \n",
        "    file_wav = './vocal_data/' + file\n",
        "    # target = '/content/drive/MyDrive/character_wav/' + str(speaker_id)+ '_' + file\n",
        "    # print(target)\n",
        "    print(file_wav)\n",
        "    \n",
        "    dist = predictor.contrast(speaker_wav, file_wav)\n",
        "    if dist > threshold:\n",
        "      print('recognize as'+str(speaker_id))\n",
        "      os.system('mv {0} {1}'.format(file_wav, './selected_character_wav/'))\n",
        "\n",
        "speaker_id = 3\n",
        "for file in os.listdir('./vocal_data/'):\n",
        "    speaker_wav = '/content/Zhenhuan-VITS-fast-fine-tuning/character/huanghou.wav' \n",
        "    file_wav = './vocal_data/' + file\n",
        "    # target = '/content/drive/MyDrive/character_wav/' + str(speaker_id)+ '_' + file\n",
        "    # print(target)\n",
        "    print(file_wav)\n",
        "    \n",
        "    dist = predictor.contrast(speaker_wav, file_wav)\n",
        "    if dist > threshold:\n",
        "      print('recognize as'+str(speaker_id))\n",
        "\n",
        "      os.system('mv {0} {1}'.format(file_wav, './selected_character_wav/'))\n",
        "\n",
        "\n",
        "speaker_id = 4\n",
        "for file in os.listdir('./vocal_data/'):\n",
        "    speaker_wav = '/content/Zhenhuan-VITS-fast-fine-tuning/character/meizhuang.wav' \n",
        "    file_wav = './vocal_data/' + file\n",
        "    \n",
        "    dist = predictor.contrast(speaker_wav, file_wav)\n",
        "    if dist > threshold:\n",
        "      print('recognize as'+str(speaker_id))\n",
        "\n",
        "      os.system('mv {0} {1}'.format(file_wav, './selected_character_wav/'))\n",
        "\n",
        "\n",
        "speaker_id = 5\n",
        "for file in os.listdir('./vocal_data/'):\n",
        "    speaker_wav = '/content/Zhenhuan-VITS-fast-fine-tuning/character/xiaoniao.wav' \n",
        "    file_wav = './vocal_data/' + file\n",
        "    # target = '/content/drive/MyDrive/character_wav/' + str(speaker_id)+ '_' + file\n",
        "    # print(target)\n",
        "    # print(file_wav)\n",
        "    \n",
        "    dist = predictor.contrast(speaker_wav, file_wav)\n",
        "    if dist > threshold:\n",
        "      print('recognize as'+str(speaker_id))\n",
        "\n",
        "      os.system('mv {0} {1}'.format(file_wav, './selected_character_wav/'))\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LcX7jsj4Mez_"
      },
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2tzsb5mR6-d9"
      },
      "outputs": [],
      "source": [
        "#@title STEP 1.5 选择预训练模型\n",
        "#@markdown ###STEP 1.5 选择预训练模型  \n",
        "#@markdown ###Choose pretrained model to start  \n",
        "#@markdown CJE为中日英三语模型，CJ为中日双语模型  \n",
        "\n",
        "#@markdown CJE for Chinese, Japanese & English model，CJ for Chinese & Japanese model\n",
        "# PRETRAINED_MODEL = \"CJ\" #@param [\"CJE\",\"CJ\"]\n",
        "# if PRETRAINED_MODEL == \"CJ\":\n",
        "#   !wget https://huggingface.co/spaces/sayashi/vits-uma-genshin-honkai/resolve/main/model/D_0-p.pth -O ./pretrained_models/D_0.pth\n",
        "#   !wget https://huggingface.co/spaces/sayashi/vits-uma-genshin-honkai/resolve/main/model/G_0-p.pth -O ./pretrained_models/G_0.pth\n",
        "#   !wget https://huggingface.co/spaces/sayashi/vits-uma-genshin-honkai/resolve/main/model/config.json -O ./configs/finetune_speaker.json\n",
        "# elif PRETRAINED_MODEL == \"CJE\":\n",
        "#   !wget https://huggingface.co/spaces/Plachta/VITS-Umamusume-voice-synthesizer/resolve/main/pretrained_models/D_trilingual.pth -O ./pretrained_models/D_0.pth\n",
        "#   !wget https://huggingface.co/spaces/Plachta/VITS-Umamusume-voice-synthesizer/resolve/main/pretrained_models/G_trilingual.pth -O ./pretrained_models/G_0.pth\n",
        "#   !wget https://huggingface.co/spaces/Plachta/VITS-Umamusume-voice-synthesizer/resolve/main/configs/uma_trilingual.json -O ./configs/finetune_speaker.json\n",
        "# elif PRETRAINED_MODEL == \"C\": # Bad generalizability to other voices\n",
        "#   !wget https://huggingface.co/datasets/Plachta/sampled_audio4ft/resolve/main/VITS-bb/D_0.pth -O ./pretrained_models/D_0.pth\n",
        "#   !wget https://huggingface.co/datasets/Plachta/sampled_audio4ft/resolve/main/VITS-bb/G_0.pth -O ./pretrained_models/G_0.pth\n",
        "#   !wget https://huggingface.co/datasets/Plachta/sampled_audio4ft/resolve/main/VITS-bb/config.json -O ./configs/finetune_speaker.json"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YQGC-JyAaD2D"
      },
      "source": [
        "## STEP 3 语音识别挑选出的数据"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "aJOO7VsPQf3G",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8dc2c1bf-1c2e-4322-ab68-1936dbd0ea61"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[Errno 2] No such file or directory: '/content/drive/MyDrive/Zhenhuan-VITS-fast-fine-tuning'\n",
            "/content/Zhenhuan-VITS-fast-fine-tuning\n",
            "ALSA lib confmisc.c:767:(parse_card) cannot find card '0'\n",
            "ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_card_driver returned error: No such file or directory\n",
            "ALSA lib confmisc.c:392:(snd_func_concat) error evaluating strings\n",
            "ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory\n",
            "ALSA lib confmisc.c:1246:(snd_func_refer) error evaluating name\n",
            "ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory\n",
            "ALSA lib conf.c:5220:(snd_config_expand) Evaluate error: No such file or directory\n",
            "ALSA lib pcm.c:2642:(snd_pcm_open_noupdate) Unknown PCM default\n",
            "ALSA lib confmisc.c:767:(parse_card) cannot find card '0'\n",
            "ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_card_driver returned error: No such file or directory\n",
            "ALSA lib confmisc.c:392:(snd_func_concat) error evaluating strings\n",
            "ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory\n",
            "ALSA lib confmisc.c:1246:(snd_func_refer) error evaluating name\n",
            "ALSA lib conf.c:4732:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory\n",
            "ALSA lib conf.c:5220:(snd_config_expand) Evaluate error: No such file or directory\n",
            "ALSA lib pcm.c:2642:(snd_pcm_open_noupdate) Unknown PCM default\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/Zhenhuan-VITS-fast-fine-tuning/long_audio_transcribe.py\", line 30, in <module>\n",
            "    assert(torch.cuda.is_available()), \"Please enable GPU in order to run Whisper!\"\n",
            "AssertionError: Please enable GPU in order to run Whisper!\n"
          ]
        }
      ],
      "source": [
        "#@markdown 运行该单元格会对所有上传的数据进行自动去背景音&标注。 \n",
        "#@markdown 由于需要调用Whisper和Demucs，运行时间可能较长。  \n",
        "\n",
        "#@markdown Running this codeblock will perform automatic vocal seperation & annotation. \n",
        "#@markdown Since this step uses Whisper & Demucs, it may take a while to complete.\n",
        "# 将所有视频（无论是上传的还是下载的，且必须是.mp4格式）抽取音频\n",
        "%cd /content/drive/MyDrive/Zhenhuan-VITS-fast-fine-tuning\n",
        "#%run video2audio.py\n",
        "# 将所有音频（无论是上传的还是从视频抽取的，必须是.wav格式）去噪\n",
        "#!python denoise_audio.py\n",
        "# 分割并标注长音频\n",
        "!python long_audio_transcribe.py --languages C --whisper_size large\n",
        "# 标注短音频\n",
        "#!python short_audio_transcribe.py --languages \"{PRETRAINED_MODEL}\" --whisper_size large"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WY12Ien-BUE7"
      },
      "source": [
        "#！！！训练质量相关：实验发现目前使用CJ模型+勾选ADD_AUXILIARY，对于中/日均能训练出最好的效果，第一次训练建议默认使用该组合！！！"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "G_IM97N2e6fk"
      },
      "outputs": [],
      "source": [
        "#@markdown ##STEP 3.5 \n",
        "\n",
        "\n",
        "#@markdown 运行该单元格会生成划分好训练/测试集的最终标注，以及配置文件  \n",
        "\n",
        "#@markdown Running this block will generate final annotations for training & validation, as well as config file.\n",
        "\n",
        "#@markdown 选择是否加入辅助训练数据：/ Choose whether to add auxiliary data: \n",
        "ADD_AUXILIARY = True #@param {type:\"boolean\"}\n",
        "#@markdown 辅助训练数据是从预训练的大数据集抽样得到的，作用在于防止模型在标注不准确的数据上形成错误映射。\n",
        "\n",
        "#@markdown Auxiliary data is to prevent overfitting when the audio samples are small or with low quality. \n",
        "\n",
        "#@markdown 以下情况请勾选：  \n",
        "\n",
        "#@markdown 总样本少于100条/样本包含角色只有1人/样本质量一般或较差/样本来自爬取的视频  \n",
        "\n",
        "#@markdown 以下情况可以不勾选：  \n",
        "\n",
        "#@markdown 总样本量很大/样本质量很高/希望加速训练/只有二次元角色\n",
        "\n",
        "#@markdown 样本仅包含单说话人会导致报错，请勾选ADD_AUXILIARY或加入几个dummy speaker绕过去  \n",
        "\n",
        "#@markdown Feeding voice samples containing single speaker will result in error. Please select ADD_AUXILIARY or add several dummy speakers to bypass.\n",
        "\n",
        "# assert(not (ADD_AUXILIARY and PRETRAINED_MODEL != \"CJE\")), \"add auxiliary data is available only available for CJE model!\"\n",
        "if ADD_AUXILIARY:\n",
        "  %run preprocess_v2.py --add_auxiliary_data True --languages C\n",
        "else:\n",
        "  %run preprocess_v2.py --languages \"{PRETRAINED_MODEL}\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VA4hV2G_fyKz"
      },
      "source": [
        "## STEP 4 开始训练"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4gmpTNtcW2Bt"
      },
      "outputs": [],
      "source": [
        "#@markdown #STEP 4 (>=20 min)\n",
        "#@markdown 开始微调模型，在40轮训练后会自动结束。\n",
        "#@markdown 训练时长取决于你录入/上传的音频总数。\n",
        "\n",
        "#@markdown 根据声线和样本质量的不同，所需的训练epochs数也不同。但是一般建议设置为40 epochs，  \n",
        "\n",
        "#@markdown 你也可以在Tensorboard中预览合成效果，若效果满意可提前停止。  \n",
        "\n",
        "#@markdown Model fine-tuning ends after 40 epochs. \n",
        "#@markdown Total time cost depends on the number of voices you recorded/uploaded.   \n",
        "\n",
        "#@markdown Best epoch number varies depending on different uploaded voices / sample quality. Normally, 40 epochs is suggested.\n",
        "\n",
        "#@markdown You can also preview synthezied audio in Tensorboard, it's OK to shut down training manually if you find the quality is satisfying.\n",
        "%cd /content/Zhenhuan-VITS-fast-fine-tuning\n",
        "\n",
        "%reload_ext tensorboard\n",
        "%tensorboard --logdir \"./OUTPUT_MODEL\"\n",
        "Maximum_epochs = \"400\" #@param [20, 30, 40, 50, 60]\n",
        "!python finetune_speaker_v2.py -m \"./OUTPUT_MODEL\" --max_epochs \"{Maximum_epochs}\" --drop_speaker_embed True"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SIK2XgD_ckgV"
      },
      "outputs": [],
      "source": [
        "#@markdown ### 微调完成后，在这里尝试效果。\n",
        "#@markdown ### Try out TTS & VC quality here after fine-tuning is finished.\n",
        "%cd /content/drive/MyDrive/VITS-fast-fine-tuning\n",
        "\n",
        "!cp ./configs/modified_finetune_speaker.json ./finetune_speaker.json\n",
        "%run VC_inference.py --model_dir ./OUTPUT_MODEL/G_latest.pth"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MXYxSdt-m3YK"
      },
      "source": [
        "# STEP 5 下载模型\n",
        "## 本地部署方法请见[README](https://github.com/Plachtaa/VITS-fast-fine-tuning/blob/main/README_ZH.md)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QcJQm6_ImD7o"
      },
      "outputs": [],
      "source": [
        "#@markdown ### 下载选项1：运行该单元格，浏览器会自动下载模型和配置文件\n",
        "#@markdown ### Download option 1: Running this codeblock will download model & config files by your browser.\n",
        "!python rearrange_speaker.py \n",
        "%run download_model.py"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "k13JBTommkTj"
      },
      "outputs": [],
      "source": [
        "#@markdown ### 下载选项2：运行该单元格会将模型和配置文件保存到Google云端硬盘\n",
        "#@markdown ### Download option 2: Running this codeblock will save the mode & config files to your Google drive.\n",
        "!python rearrange_speaker.py \n",
        "!cp ./G_latest.pth ../drive/MyDrive/G_latest.pth\n",
        "!cp ./finetune_speaker.json ../drive/MyDrive/finetune_speaker.json\n",
        "!cp ./moegoe_config.json ../drive/MyDrive/moegoe_config.json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hU8LmJlUcF1z"
      },
      "outputs": [],
      "source": [
        "#@markdown ### 运行该单元格会清空所有已上传的样本，需要时可使用\n",
        "#@markdown ### Running this codeblock will delete all voice samples you have uploaded. Use it if you need.\n",
        "!rm -rf ./custom_character_voice/*\n",
        "!rm -rf ./video_data/*\n",
        "!rm -rf ./raw_audio/*\n",
        "!rm -rf ./denoised_audio/*\n",
        "!rm -rf ./segmented_character_voice/*\n",
        "!rm -rf long_character_anno.txt\n",
        "!rm -rf short_character_anno.txt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ZHK6qw4wRF8T"
      },
      "outputs": [],
      "source": [
        "#@markdown ### 运行该单元格会将切片和标注复制到谷歌云端硬盘根目录下名为`voice_data`的文件夹下以用作其它用途\n",
        "#@markdown ### Running this codeblock will copy all processed voices & annotations to a folder named `voice_data` under the root of Google Drive for other purpose of usage\n",
        "!mkdir ../drive/MyDrive/voice_data/\n",
        "!cp -rf ./custom_character_voice/ ../drive/MyDrive/voice_data/custom_character_voice/\n",
        "!cp -rf ./segmented_character_voice/ ../drive/MyDrive/voice_data/segmented_character_voice/\n",
        "!cp long_character_anno.txt ../drive/MyDrive/voice_data/long_character_anno.txt\n",
        "!cp short_character_anno.txt ../drive/MyDrive/voice_data/short_character_anno.txt"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "machine_shape": "hm",
      "provenance": [],
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}