No alignment for Urdu

[AownMohammad]

Hi,
I have used this model to train on my speech Urdu dataset. It contains 10000 .wav files of 15 hours speech dataset. Average file is size 5.4 sec. I used default parameters and trained for 50000 steps. I used transliterated labels and transliteration_cleaner. Here is the alignment.

[tayyabvohra]

Can you please share the synthesize audio file .

[AownMohammad]

Thanks for replying. Here are the synthesized audio files at 50000 steps.
www.aown.me/eval-50000-0.wav
www.aown.me/eval-50000-1.wav
www.aown.me/eval-50000-2.wav
Here is training sample
www.aown.me/45.wav

[tayyabvohra]

@AownMohammad the same problem has occured with me I have iterate over 500K steps and my loss is 0.06 but still the problem is same.

[AownMohammad]

@tayyabvohra
I have been trying with different settings but none is working. If it the model can work on Arabic then it should work on Urdu too.

[tayyabvohra]

@AownMohammad I think we should tune the hyper parameters according to it.

[AownMohammad]

@tayyabvohra But how? training takes alot of time. Training again and again with different hyprams would become impossible.