SoftVC VITS Singing Voice Conversion
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Updated
Nov 11, 2023 - Python
SoftVC VITS Singing Voice Conversion
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Easily train a good VC model with voice data <= 10 mins!
End-to-End Speech Processing Toolkit
so-vits-svc fork with realtime support, improved interface and more features.
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
VITS-based Voice Conversion focused on simplicity, quality and performance.
Voice Converter Using CycleGAN and Non-Parallel Data
Voice Conversion Tool Kit
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
Just a fork of RVC for easy audio file voice conversion locally
Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2
The code for the bark-voicecloning model. Training and inference.
FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion
This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
Unsupervised Speech Decomposition Via Triple Information Bottleneck
singing voice change based on whisper, and lora for singing voice clone
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