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vits2 backbone with bert
基于标贝数据继续训练,同时对原本的FastSpeech2模型做了改进,引入了韵律表征以及韵律预测模块,使中文发音更生动且富有节奏
无需情感标注的情感可控语音合成模型,基于VITS
Executable file for VITS inference
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SoftVC VITS Singing Voice Conversion
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
weread-spy: 使用微信读书 Web 版生成 ePub 电子书
微信读书
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