Autovocoder: Fast Waveform Generation from a Learned Speech Representation using Differentiable Digital Signal Processing
Unofficial Pytorch implementation of Autovocoder: Fast Waveform Generation from a Learned Speech Representation using Differentiable Digital Signal Processing.
This repository is based on iSTFTNet github (Paper).
Disclaimer : This repo is build for testing purpose. Welcome your contributions.
python train.py --config config.json
In config.json
, change latent_dim
for AV128
, AV192
, and AV256
(Default).
Considering Section 3.3
, you can select dec_istft_input
between cartesian
(Default), polar
, and both
.
@article{Webber2022AutovocoderFW,
title={Autovocoder: Fast Waveform Generation from a Learned Speech Representation using Differentiable Digital Signal Processing},
author={Jacob J. Webber and Cassia Valentini-Botinhao and Evelyn Williams and Gustav Eje Henter and Simon King},
journal={ArXiv},
year={2022},
volume={abs/2211.06989}
}