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LPCNet needs 20 features (18 Bark-scale cepstral coefs + 2 pitch params), whereas Tacotron-2 predicts mel-specs. I believe we can get the 18-Bark-ceps coefs by some transformation from mel-specs or directly training from Tacotron. However, how could we get period and correlation?
Thanks!! :-)
The text was updated successfully, but these errors were encountered:
LPCNet needs 20 features (18 Bark-scale cepstral coefs + 2 pitch params), whereas Tacotron-2 predicts mel-specs. I believe we can get the 18-Bark-ceps coefs by some transformation from mel-specs or directly training from Tacotron. However, how could we get period and correlation?
Thanks!! :-)
The text was updated successfully, but these errors were encountered: