VITS-Pytorch and VITS

These two tools are competitors, both providing VITS-based speech synthesis, but with project A specifically highlighting ease of use with PyTorch and one-click training/generation, while project B focuses on text-to-speech and voice changing functionalities.

VITS-Pytorch
40
Emerging
VITS
37
Emerging
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 16/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 12/25
Stars: 55
Forks: 10
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 92
Forks: 9
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About VITS-Pytorch

yeyupiaoling/VITS-Pytorch

本项目是基于Pytorch的语音合成项目,使用的是VITS,VITS是一种语音合成方法,这种时端到端的模型使用起来非常简单,不需要文本对齐等太复杂的流程,直接一键训练和生成,大大降低了学习门槛。

This project helps content creators, educators, or anyone needing custom voiceovers quickly convert text into natural-sounding speech. You input text and corresponding audio recordings of a speaker, and it generates high-quality audio in that speaker's voice. This is ideal for individuals or small teams producing audio content in Chinese (Mandarin, Cantonese, Shanghainese, etc.), Japanese, English, or Korean.

voice-generation audiobook-production e-learning-content multilingual-voiceover speech-synthesis

About VITS

zassou65535/VITS

VITSによるテキスト読み上げ器&ボイスチェンジャー

This project helps you convert written Japanese text into spoken audio or change the voice in an existing Japanese audio clip. You provide Japanese text or an audio file, and it outputs a new .wav audio file with the desired speech or voice. It's designed for researchers or content creators working with Japanese speech.

Japanese speech synthesis voice conversion audio content creation linguistic research digital voice over

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