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Add BibleTTS recipe #5436

Merged
merged 10 commits into from Sep 29, 2023
Merged

Add BibleTTS recipe #5436

merged 10 commits into from Sep 29, 2023

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wyh2000
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@wyh2000 wyh2000 commented Sep 18, 2023

What?

BibleTTS training recipe and corresponding pre-trained models

Why?

The goal is to build a TTS character based system using high-quality BibleTTS dataset. BibleTTS is a large high-quality open Text-to-Speech dataset with up to 80 hours of single speaker. It releases aligned speech and text for six languages spoken in Sub-Saharan Africa. There are two options:

  1. Train VITS models from scratch for each language.

  2. Finetune from a pretrained TTS model to accelarate training stage.

See also

BibleTTS : https://masakhane-io.github.io/bibleTTS/

@ftshijt ftshijt added the TTS Text-to-speech label Sep 19, 2023
@sw005320 sw005320 added this to the v.202312 milestone Sep 19, 2023
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codecov bot commented Sep 20, 2023

Codecov Report

Merging #5436 (2e9c519) into master (92207e2) will decrease coverage by 0.01%.
Report is 61 commits behind head on master.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master    #5436      +/-   ##
==========================================
- Coverage   77.17%   77.17%   -0.01%     
==========================================
  Files         684      684              
  Lines       62643    62643              
==========================================
- Hits        48345    48344       -1     
- Misses      14298    14299       +1     
Flag Coverage Δ
test_configuration_espnet2 ∅ <ø> (∅)
test_integration_espnet1 65.73% <ø> (-0.03%) ⬇️
test_integration_espnet2 49.10% <ø> (-0.01%) ⬇️
test_python_espnet1 19.96% <ø> (ø)
test_python_espnet2 52.29% <ø> (ø)
test_utils 23.10% <ø> (ø)

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egs2/bibletts/tts1/run.sh Outdated Show resolved Hide resolved
egs2/bibletts/tts1/run.sh Outdated Show resolved Hide resolved
@ftshijt ftshijt added the auto-merge Enable auto-merge label Sep 28, 2023
@ftshijt ftshijt merged commit 8457fe2 into espnet:master Sep 29, 2023
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3 participants