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VoxCPM

Multilingual text-to-speech model with voice design and cloning

  • AI media
  • AI models and runtimes
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What it is

VoxCPM2 is a 2B-parameter speech synthesis model that generates continuous audio directly, without discrete speech tokens, using a diffusion autoregressive design. It reads text in 30 languages and several Chinese dialects, outputs 48kHz audio, can invent a voice from a written description, and can copy a speaker's voice from just a few seconds of sample audio. Developers and audio creators load it through a Python package, CLI, or web demo, stream output in near real time, and fine-tune it with SFT or LoRA.

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Facts

Stars
39,629 GitHub stars.
39,629

Forks
4,499
Commits
182
Contributors
28
Language
Python
License
Apache-2.0
Last commit
Oct 8, 2026
On GitHub since
September 2025
First release
September 2025
Platforms
CLI, library
Self-hostable
No
Alternative to
ElevenLabs
Tags
  • text-to-speech
  • open-weights
  • voice-cloning
  • fine-tuning

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 21, 2026
  • Hacker NewsVoxCPM: Tokenizer-Free TTS for Context-Aware Speech Generation and Voice CloningDec 5, 2025 · 3 points · 0 comments (opens Hacker News in a new tab)