1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
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Updated
Dec 19, 2024 - Python
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
SoftVC VITS Singing Voice Conversion
Easily train a good VC model with voice data <= 10 mins!
so-vits-svc fork with realtime support, improved interface and more features.
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.
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter, Object Pascal, Lazarus, Rust
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。
Core Engine of Singing Voice Conversion & Singing Voice Clone
A simple, high-quality voice conversion tool focused on ease of use and performance.
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.
So-VITS-SVC 本地部署/训练/推理/使用帮助文档 So-VITS-SVC Local Deployment/Training/Inference/Usage Help Document
singing voice change based on whisper, and lora for singing voice clone
liujing04/Retrieval-based-Voice-Conversion-WebUI reconstruction project
SummerTTS 是一个基于C++的独立编译的中文和英文语音合成项目,可以本地运行不需要网络,而且没有额外的依赖,一键编译完成即可用于中文和英文的语音合成。SummerTTS is a standalone Chinese and English speech synthesis(TTS) project that has almost no dependency and could be easily used for Chinese TTS with just one key build out
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
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