FFTNet vocoder implementation

Last update: Dec 08, 2022

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

GitHub Repository

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FFTNet vocoder implementation

Related tags

Overview

Unofficial Implementation of FFTNet vocode paper.

Owner

Eren Gölge

Library for fast text representation and classification.

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