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vits chinese, tts chinese, tts mandarin 史上训练最简单,音质最好的语音合成系统

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vits实现的中文TTS

this is the copy of https://github.com/jaywalnut310/vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Espnet连接:github.com/espnet/espnet/tree/master/espnet2/gan_tts/vits

coqui-ai/TTS连接:github.com/coqui-ai/TTS/tree/main/recipes/ljspeech/vits_tts

如果有侵权行为,请联系我,我将删除项目

If there is infringement, please contact me and I will delete the item

基于VITS 实现 16K baker TTS 的流程记录

apt-get install espeak

pip install -r requirements.txt

cd monotonic_align

python setup.py build_ext --inplace

将16K标贝音频拷贝到./baker_waves/,启动训练

python train.py -c configs/baker_base.json -m baker_base

两张1080卡,训练两天,基本可以使用了

测试

python vits_strings.py

上面的模型训练出来后存在,明显停顿的问题

原因:

1,本来已经在音素后面强插边界了,VITS又强插边界了,具体是配置参数:"add_blank": true

2,可能影响,随机时长预测,具体配置参数:use_sdp=True

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vits chinese, tts chinese, tts mandarin 史上训练最简单,音质最好的语音合成系统

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