FFTNet vocoder implementation

Related tags

Deep Learningdeep-learningpytorchtext2speechvocoderfftnet
Overview

Unofficial Implementation of FFTNet vocode paper.

  • implement the model.
  • implement tests.
  • overfit on a single batch (sanity check).
  • linearize weights for eval time.
  • measure the run-time on GPU and CPU. (1 sec audio takes ~47 secs) If anyone knows additional tricks from the paper, let me know. So far I asked the authors but nobody returned.
  • train on LJSpeech spectrograms.
  • distill model as in Parallel WaveNet paper.
Owner
Eren Gölge
AI researcher @Coqui.ai
Eren Gölge
GitHub Repository
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