Comments (2)
It's not a big deal. depending on the type of dataset you can make your own vocab index list. specially for TTS, capital or small characters are same. Special characters may be useful for future extend to include emotion or characteristics of the person.
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Thanks for answer!
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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
- Transcript.csv file? HOT 1
- 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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