Comments (2)
Hi! create-dataset.py
uses librosa to import the wavs and automatically resamples the wav files to sampling_rate
in preprocessing.
I've left it at 22050 because the MelGAN vocoder is fixed to 22050 hz, but sampling_rate
doesn't have to be changed to reflect the dataset. I hope that helps.
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@pizzabug is exactly right, if you want the model to be usable with the pretrained vocoders leave it at 22050, otherwise you can change it to 16000 or anything that you find works well.
I am not sure regarding the stereo-mono question, in principle as long as it is possible to extract power spectrograms there should be no issue within the TTS model.
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Related Issues (20)
- Training in 3090 takes ~30 seconds per step HOT 2
- ERROR: while preparing training data HOT 1
- inference error HOT 1
- how can i save the audio file if i am using thee pretrained model in google colab
- Word timestamps
- layer.py TransposedCNNResNorm
- Get rid of the "robotic" sound HOT 4
- model.hdf5 file does not create
- No module named 'decorator'
- How to install on windows?
- the missing of HiFiGAN model.pt HOT 2
- Pause between sentence
- model.pt
- Alignments in PyTorch implementation
- Can't Finish PHONEMIZING On Google Colab. HOT 2
- Error : raise StopIteration StopIteration
- error to run a train_aligner.py
- how Normalized dataset
- DeepPhonemizer? (Phonemizer License Issue)
- About model structute.
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