MB-iSTFT-VITS2 and VITS-Pytorch

MB-iSTFT-VITS2
52
Established
VITS-Pytorch
40
Emerging
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 16/25
Stars: 134
Forks: 31
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 55
Forks: 10
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
Stale 6m No Package No Dependents

About MB-iSTFT-VITS2

FENRlR/MB-iSTFT-VITS2

Application of MB-iSTFT-VITS components to vits2_pytorch

This project helps you create custom text-to-speech (TTS) voices. You provide audio recordings and corresponding text transcripts, and it generates a model that can convert new text into natural-sounding speech in that voice. It's designed for speech synthesis researchers and engineers who want to build high-quality, potentially state-of-the-art TTS systems.

speech-synthesis voice-generation text-to-speech AI-audio voice-cloning-research

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

Related comparisons

MB-iSTFT-VITS2 and One-Click-MB-iSTFT-VITS2 MB-iSTFT-VITS2 and MB-iSTFT-VITS-with-AutoVocoder MB-iSTFT-VITS2 and VITS MB-iSTFT-VITS2 and VITS-PaddlePaddle

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