voice-conversion

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

End-to-End Speech Processing Toolkit

so-vits-svc fork with realtime support, improved interface and more features.

Voice data <= 10 mins can also be used to train a good VC model!

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

This is now the official location of the Merlin project.

🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Voice Conversion Tool Kit

Unsupervised Speech Decomposition Via Triple Information Bottleneck

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

Voice Converter Using CycleGAN and Non-Parallel Data

基于javaFX的简单字幕处理桌面程序，集成在线翻译及语音转换

This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

singing voice change based on whisper, and lora for singing voice clone

NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

Library to build speech synthesis systems designed for easy and fast prototyping.

Deep learning for audio processing