iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform

Overview

iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform

This repo try to implement iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform specifically model C8C8I. Disclaimer : This repo is build for testing purpose. The code is not optimized for performance.

Training :

python train.py --config config_v1.json

Note:

  • We are able to get good quality of audio with 30 % less training compared to original hifigan.
  • This model approx 60 % faster than counterpart hifigan.

Citations :

@inproceedings{kaneko2022istftnet,
title={{iSTFTNet}: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform},
author={Takuhiro Kaneko and Kou Tanaka and Hirokazu Kameoka and Shogo Seki},
booktitle={ICASSP},
year={2022},
}

References:

Owner
Rishikesh (ऋषिकेश)
Deep Learning/ AI Researcher | Open Source enthusiast | Text to Speech | Speech Synthesis | Generative Models | Object detection | Computer Vision
Rishikesh (ऋषिकेश)
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