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- TESIGN / RADAR
- REPOSITORY CARD
- openbmb/voxcpm
openbmb/voxcpm
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
RANKS All-time #187
AT A GLANCE
- LANGUAGE
- Python
- LICENSE
- Apache-2.0
- USAGE
- Commercial use, redistribution OK. Keep notices; mark changes.
- ACTIVITY
- last commit 14 days ago ()
- TOPICS
- audio
- deeplearning
- minicpm
- multilingual
- python
- pytorch
- speech
- speech-synthesis
- text-to-speech
- tts
- tts-model
- voice-cloning
- HOMEPAGE
- https://voxcpm.com
- REPOSITORY
- GitHub ↗
- CATEGORY
- AI
A summary, not legal advice.
README EXCERPT
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning English 中文 👋 Join our community for discussion and support! Feishu Discord 📚 MiniCPM Wiki VoxCPM is a tokenizer-free Text-to-Speech system that directly generates continuous speech representations via an end-to-end diffusion autoregressive architecture , bypassing discrete tokenization to achieve highly natural and expressive synthesis. VoxCPM2 is the latest major release — a 2B parameter model trained on over 2 million hours of multilingual speech data, now supporting 30 languages , Voice Design , Controllable Voice Cloning , and 48kHz studio-quality audio output. Built on a MiniCPM-4 backbone. ✨ Highlights - 🌍 30-Language Multilingual — Input text in any of the 30 supported languages and synthesize directly, no language tag needed - 🎨 Voice Design — Create a brand-new voice from a natural-language description alone (gender, age, tone, emotion, pace …), no reference audio required - 🎛️ Controllable Cloning — Clone any voice from a short reference clip, with optional style guidance to steer emotion, pace, and expression while preserving the ori…
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TIMELINE
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- Last push
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