Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe NHV in the future.

Related tags

Text Data & NLPFastVocoder
Overview

Fast (GAN Based Neural) Vocoder

Chinese README

Todo

  • Submit demo
  • Support NHV

Discription

Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe include NHV in the future. Developed on BiaoBei dataset, you can modify conf and hparams.py to fit your own dataset and model.

Usage

  • Prepare data
    • write path of wav data in a file, for example: cd dataset && python3 biaobei.py
    • bash preprocess.sh <wav path file> <path to save processed data> dataset/audio dataset/mel
    • for example: bash preprocess.sh dataset/BZNSYP.txt processed dataset/audio dataset/mel
  • Train
    • command:
    bash train.sh \
    <GPU ids> \
    /path/to/audio/train \
    /path/to/audio/valid \
    /path/to/mel/train \
    /path/to/mel/valid \
    <model name> \
    <if multi band> \
    <if use scheduler> \
    <path to configuration file>
    • for example:
    bash train.sh \
0 \
dataset/audio/train \
dataset/audio/valid \
dataset/mel/train \
dataset/mel/valid \
hifigan \
0 0 0 \
conf/hifigan/light.yaml
  • Train from checkpoint
    • command:
    bash train.sh \
    <GPU ids> \
    /path/to/audio/train \
    /path/to/audio/valid \
    /path/to/mel/train \
    /path/to/mel/valid \
    <model name> \
    <if multi band> \
    <if use scheduler> \
    <path to configuration file> \
    /path/to/checkpoint \
    <step of checkpoint>
  • Synthesize
    • command:
    bash synthesize.sh \
    /path/to/checkpoint \
    /path/to/mel \
    /path/for/saving/wav \
    <model name> \
    /path/to/configuration/file

Acknowledgments

Comments
  • why set the L=30 ?

    why set the L=30 ?

    hello，I have some question， in the paper ，the shape of basis matrix is [32, 256] , but in the code ,the shape is [30, 256] . And according to the function "overlap_and_add" , output_size = (frames - 1) * frame_step + frame_length, if the L=30, I think it cannot match the real wave length ? for example, hop_len=256, mel.shape=[80, 140] , theoretically the output wave length is 140*256=35840. according to the code, the output wave length is 33600.

    Thanks in advance.

    opened by yingfenging 3
  • Link to Basis-MelGAN paper?

    Link to Basis-MelGAN paper?

    Hi Zhengxi, congrats on your paper's acceptance on Interspeech 2021!

    I got pretty interested in your paper while reading the abstract of Basis-MelGAN on the README, but I could not find any link to the paper. Though the Interspeech conference is only 2 months away, don't you have any plans on publishing the paper on arXiv in near future?

    opened by seungwonpark 2
  • Random start index in WeightDataset

    Random start index in WeightDataset

    At this line: https://github.com/xcmyz/FastVocoder/blob/a9af370be896b1096e746ce6489fb16fef8ca585/data/dataset.py#L97

    If the input mel size smaller than fix-length, the random raise issue, I have try except to pass these short audios, but I just wonder it is handle in collate.

    More than that, the segment size as I found in hifigan is 32, but in basic-melgan it (fix-length) is set to 140. Are there any difference between the 140 for biaobei and the one for LJspeech

    opened by v-nhandt21 0
  • can basis-melgan be used as unversial vocoder?

    can basis-melgan be used as unversial vocoder?

    I tried it for a single speaker dataset, rtf surprises me. Have you ever use basis-melgan for a multi-speaker dataset, or is it suitable for unseen speaker tts synthesis?

    opened by mayfool 0
  • Shape mismatch error on new dataset

    Shape mismatch error on new dataset

    Hi, thanks for your work!

    The frame rate of my dataset is 22050, and hop size of text2mel model is 256. I have changed hparams.py accordingly, but training results in an expcetion: (preprocessing was fine, anyway)

      File "/home/user/speechlab/FastVocoder-main/model/loss/loss.py", line 23, in forward
    assert est_source_sub_band.size(1) == wav_sub_band.size(1)

    I figured out that model inference still uses hop-size of 240. So how to make your code fully compatible with other datasets? it seems that the codes are somehow hardcoded for Biaobei dataset.

    opened by tekinek 1
  • Multiband Architecture

    Multiband Architecture

    Hi author, I have found the notes as "the generated audio has interference at a specific frequency" in this repo. I have encountered with the straight line at a specific frequency when developing similar multiband architecture, and I wonder if such phenomenon is the one you mentioned? And do you have some advice or solutions? Thanks. audio

    help wanted 
    opened by Rongjiehuang 6
Owner
Zhengxi Liu (刘正曦)
Interested in high performance neural vocoder and expressive TTS acoustic model. Member of DeepMist and developed MistGPU.
Zhengxi Liu (刘正曦)
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