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.
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.
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.
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
VITS-based Voice Conversion focused on simplicity, quality and performance.
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
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
Voice Conversion Tool Kit
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Just a fork of RVC for easy audio file voice conversion locally
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2
The code for the bark-voicecloning model. Training and inference.
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