Comments (3)
Right. It's complicated to handle this with dynamic padding. It's more elegant to apply logarithm after the batch processing. Let me update the code soon.
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I've updated. (Chck Lines 148-151 and 166-167 in data_load.py
. Plus, I've added use_log_magnitude
in hyperparams.py
to control this. Even though the paper used log magnitude, I guess it may be problematic in practice. When we apply convolutin layers with same padding, TensorFlow internally add zeros and I'm not sure if it doesn't match our padding. If that's the case, we can set use_log_magnitude
to False.
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Thanks.
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Related Issues (20)
- Can anyone guide me how to get Audio out from eval.py file for testing ?? HOT 1
- Bus error: 10 at training HOT 6
- How to synthesize long sentences?
- About the performance of synthesis
- speaker adaption : not to update the encoder parameters
- ref_db=20, max_db=100, Where did these values come from? statistics?
- Generated wave were empty HOT 8
- I've uploaded Donald Trump speeches and transcripts HOT 1
- error in utils,py
- How can we exploit forced alignments?
- Error in data_load.py---TypeError: a bytes-like object is required, not 'str'
- Segmentation fault on training HOT 1
- Get MelSpectogram for wavenet
- IOError: [Errno 2] No such file or directory: '/data/private/voice/LJSpeech-1.0/transcript.csv'
- IOError: [Errno 2] No such file or directory: '/data/private/voice/LJSpeech-1.0/transcript.csv' HOT 1
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- Different result in train and eval and synthesize mode
- how much it takes to train and on what hardware?
- Tensorflow error
- [CONTRIBUTION] Speech Dataset Generator
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