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Using LJSpeech-1.1 datasets.
Avoid getting OOM error, I just changed less in the hparams.py file("wavenet_batch_size = 2 " and "train_with_GTA = False" )
After training Tacotron with 100k steps ,I got these below .
And I trained wavenet with 80k steps , got step-80000-waveplot in /logs-Tacotron-2/plots.
I tried to run python synthesize.py to synthesize new sounds, they were noisy too.
Do I need to train wavenet more steps ? Is these something I miss doing?
The text was updated successfully, but these errors were encountered:
Using LJSpeech-1.1 datasets.
Avoid getting OOM error, I just changed less in the hparams.py file("wavenet_batch_size = 2 " and "train_with_GTA = False" )
After training Tacotron with 100k steps ,I got these below .
And I trained wavenet with 80k steps , got step-80000-waveplot in /logs-Tacotron-2/plots.
The wavs in /logs-Tacotron-2/eval-dir/wavs are noisy.
step-80000-wav.tar.gz
I tried to run python synthesize.py to synthesize new sounds, they were noisy too.
Do I need to train wavenet more steps ? Is these something I miss doing?
The text was updated successfully, but these errors were encountered: