1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
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Updated
Aug 18, 2026 - Python
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Easily train a good VC model with voice data <= 10 mins!
SoftVC VITS Singing Voice Conversion
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.
so-vits-svc fork with realtime support, improved interface and more features.
AI Vtuber是一个由 【ChatterBot/ChatGPT/claude/langchain/chatglm/text-gen-webui/闻达/千问/kimi/ollama】 驱动的虚拟主播【Live2D/UE/xuniren】,可以在 【Bilibili/抖音/快手/微信视频号/拼多多/斗鱼/YouTube/twitch/TikTok】 直播中与观众实时互动 或 直接在本地进行聊天。它使用TTS技术【edge-tts/VITS/elevenlabs/bark/bert-vits2/睿声】生成回答并可以选择【so-vits-svc/DDSP-SVC】变声;指令协同SD画图。
A simple, high-quality voice conversion tool focused on ease of use and performance.
Core Engine of Singing Voice Conversion & Singing Voice Clone
GPT-SoVITS ONNX Inference Engine & Model Converter
Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!
A simple VITS HTTP API, developed by extending Moegoe with additional features.
singing voice change based on whisper, and lora for singing voice clone
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
liujing04/Retrieval-based-Voice-Conversion-WebUI reconstruction project
An app for creating audio-based content such as song covers and speech using Retrieval-based Voice Conversion.
🚀 RVC + UVR = A perfect set of tools for voice cloning, easily and free!
Multilingual neural TTS (6 languages: JA/EN/ZH/ES/FR/PT, code supports SV) — C++, C#, Rust, Go, Python, npm (WASM). VITS + Prosody, streaming, CUDA/CoreML/DirectML. pip install piper-plus | npm install piper-plus | cargo install piper-plus-cli
Singing Voice Synthesis based on VITS, different from VISinger
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