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

SoftVC VITS Singing Voice Conversion

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

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

End-to-End Speech Processing Toolkit

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

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

This is now the official location of the Merlin project.

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

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

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

Just a fork of RVC for easy audio file voice conversion locally

Unsupervised Speech Decomposition Via Triple Information Bottleneck

Voice Conversion Tool Kit

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

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

The code for the bark-voicecloning model. Training and inference.

Voice Converter Using CycleGAN and Non-Parallel Data

NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

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