OpenBMB/VoxCPM

Health v2 · maintenance only

Adoption not part of the score

36145 stars · 4132 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

VoxCPM is a tokenizer-free text-to-speech system built on a diffusion autoregressive architecture that generates continuous speech representations end-to-end. VoxCPM2 is a 2B-parameter model trained on 2M+ hours of speech, supporting 30 languages, creative voice design, controllable voice cloning, and 48kHz output.

Use cases

• generate natural speech from text in multiple languages
• clone a voice from a short audio sample
• design a custom voice with controllable characteristics
• produce studio-quality 48kHz tts audio
• build a voiceover or audiobook generation pipeline
• run zero-shot speech synthesis locally in python

When to choose

• you need expressive, natural-sounding tts without discrete tokenization artifacts
• you want multilingual synthesis across 30 languages
• voice cloning or creative voice design is a core requirement
• you want a pip-installable python tts model with a permissive Apache-2.0 license

When to avoid

• you need a lightweight tts for CPU-only or embedded devices
• you need real-time streaming synthesis with very low latency
• you lack a GPU and cannot afford heavy inference compute

Facets

library · maturity active

tts speech-recognition machine-learning deep-learning audio-processing speech-processing machine-learning deep-learning python cross-platform cli text-to-speech voice-cloning voice-design tokenizer-free diffusion multilingual pytorch minicpm zero-shot-tts audio natural-language-processing gpu

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For agents

markdown · JSON · MCP: product_card(name="OpenBMB/VoxCPM")