OpenBMB/VoxCPM

Maintainer? Show your league in your README

Card: your league's emblem, from Copper to Legendary

[![bestofgithub](https://bestofgithub.dev/badge/OpenBMB/VoxCPM.svg?style=card)](https://bestofgithub.dev/repo/OpenBMB/VoxCPM)

Flat: fits beside your other badges

[![bestofgithub](https://bestofgithub.dev/badge/OpenBMB/VoxCPM.svg)](https://bestofgithub.dev/repo/OpenBMB/VoxCPM)

Loading README…

	VoxCPM2	VoxCPM1.5	VoxCPM-0.5B
Status	🟢 Latest	Stable	Legacy
Backbone Parameters	2B	0.6B	0.5B
Audio Sample Rate	48kHz	44.1kHz	16kHz
LM Token Rate	6.25Hz	6.25Hz	12.5Hz
Languages	30	2 (zh, en)	2 (zh, en)
Cloning Mode	Isolated Reference & Continuation	Continuation only	Continuation only
Voice Design	✅	—	—
Controllable Voice Cloning	✅	—	—
SFT / LoRA	✅	✅	✅
RTF (RTX 4090)	~0.30	~0.15	~0.17
RTF in Nano-VLLM (RTX 4090)	~0.13	~0.08	~0.10
VRAM	~8 GB	~6 GB	~5 GB
Weights	🤗 HF / MS	🤗 HF / MS	🤗 HF / MS
Technical Report	arXiv	—	arXiv ICLR 2026
Demo Page	Audio Samples	—	Audio Samples

Model	Parameters	Open-Source	test-EN		test-ZH		test-Hard
			WER/%⬇	SIM/%⬆	CER/%⬇	SIM/%⬆	CER/%⬇	SIM/%⬆
MegaTTS3	0.5B	❌	2.79	77.1	1.52	79.0	-	-
DiTAR	0.6B	❌	1.69	73.5	1.02	75.3	-	-
CosyVoice3	0.5B	❌	2.02	71.8	1.16	78.0	6.08	75.8
CosyVoice3	1.5B	❌	2.22	72.0	1.12	78.1	5.83	75.8
Seed-TTS	-	❌	2.25	76.2	1.12	79.6	7.59	77.6
MiniMax-Speech	-	❌	1.65	69.2	0.83	78.3	-	-
F5-TTS	0.3B	✅	2.00	67.0	1.53	76.0	8.67	71.3
MaskGCT	1B	✅	2.62	71.7	2.27	77.4	-	-
CosyVoice	0.3B	✅	4.29	60.9	3.63	72.3	11.75	70.9
CosyVoice2	0.5B	✅	3.09	65.9	1.38	75.7	6.83	72.4
SparkTTS	0.5B	✅	3.14	57.3	1.54	66.0	-	-
FireRedTTS	0.5B	✅	3.82	46.0	1.51	63.5	17.45	62.1
FireRedTTS-2	1.5B	✅	1.95	66.5	1.14	73.6	-	-
Qwen2.5-Omni	7B	✅	2.72	63.2	1.70	75.2	7.97	74.7
Qwen3-Omni	30B-A3B	✅	1.39	-	1.07	-	-	-
OpenAudio-s1-mini	0.5B	✅	1.94	55.0	1.18	68.5	23.37	64.3
IndexTTS2	1.5B	✅	2.23	70.6	1.03	76.5	7.12	75.5
VibeVoice	1.5B	✅	3.04	68.9	1.16	74.4	-	-
HiggsAudio-v2	3B	✅	2.44	67.7	1.50	74.0	55.07	65.6
VoxCPM-0.5B	0.6B	✅	1.85	72.9	0.93	77.2	8.87	73.0
VoxCPM1.5	0.8B	✅	2.12	71.4	1.18	77.0	7.74	73.1
MOSS-TTS		✅	1.85	73.4	1.20	78.8	-	-
Qwen3-TTS	1.7B	✅	1.23	71.7	1.22	77.0	6.76	74.8
FishAudio S2	4B	✅	0.99	-	0.54	-	5.99	-
LongCat-Audio-DiT	3.5B	✅	1.50	78.6	1.09	81.8	6.04	79.7
VoxCPM2	2B	✅	1.84	75.3	0.97	79.5	8.13	75.3

Model	zh	en	hard-zh	hard-en	ja	ko	de	es	fr	it	ru
CosyVoice2	4.08	6.32	12.58	11.96	9.13	19.7	-	-	-	-	-
CosyVoice3-1.5B	3.91	4.99	9.77	10.55	7.57	5.69	6.43	4.47	11.8	10.5	6.64
Fish Audio S2	2.65	2.43	9.10	4.40	3.96	2.76	2.22	2.00	6.26	2.04	2.78
VoxCPM2	3.65	5.00	8.55	8.48	5.96	5.69	4.77	3.80	9.85	4.25	5.21

Language	Minimax	ElevenLabs	Qwen3-TTS	FishAudio S2	VoxCPM2
Arabic	1.665	1.666	–	3.500	13.046
Cantonese	34.111	51.513	–	30.670	38.584
Chinese	2.252	16.026	0.928	0.730	1.136
Czech	3.875	2.108	–	2.840	24.132
Dutch	1.143	0.803	–	0.990	0.913
English	2.164	2.339	0.934	1.620	2.289
Finnish	4.666	2.964	–	3.330	2.632
French	4.099	5.216	2.858	3.050	4.534
German	1.906	0.572	1.235	0.550	0.679
Greek	2.016	0.991	–	5.740	2.844
Hindi	6.962	5.827	–	14.640	19.699
Indonesian	1.237	1.059	–	1.460	1.084
Italian	1.543	1.743	0.948	1.270	1.563
Japanese	3.519	10.646	3.823	2.760	4.628
Korean	1.747	1.865	1.755	1.180	1.962
Polish	1.415	0.766	–	1.260	1.141
Portuguese	1.877	1.331	1.526	1.140	1.938
Romanian	2.878	1.347	–	10.740	21.577
Russian	4.281	3.878	3.212	2.400	3.634
Spanish	1.029	1.084	1.126	0.910	1.438
Thai	2.701	73.936	–	4.230	2.961
Turkish	1.52	0.699	–	0.870	0.817
Ukrainian	1.082	0.997	–	2.300	6.316
Vietnamese	0.88	73.415	–	7.410	3.307

Language	Minimax	ElevenLabs	Qwen3-TTS	FishAudio S2	VoxCPM2
Arabic	73.6	70.6	–	75.0	79.1
Cantonese	77.8	67.0	–	80.5	83.5
Chinese	78.0	67.7	79.9	81.6	82.5
Czech	79.6	68.5	–	79.8	78.3
Dutch	73.8	68.0	–	73.0	80.8
English	75.6	61.3	77.5	79.7	85.4
Finnish	83.5	75.9	–	81.9	89.0
French	62.8	53.5	62.8	69.8	73.5
German	73.3	61.4	77.5	76.7	80.3
Greek	82.6	73.3	–	79.5	86.0
Hindi	81.8	73.0	–	82.1	85.6
Indonesian	72.9	66.0	–	76.3	80.0
Italian	69.9	57.9	81.7	74.7	78.0
Japanese	77.6	73.8	78.8	79.6	82.8
Korean	77.6	70.0	79.9	81.7	83.3
Polish	80.2	72.9	–	81.9	88.4
Portuguese	80.5	71.1	81.7	78.1	83.7
Romanian	80.9	69.9	–	73.3	79.7
Russian	76.1	67.6	79.2	79.0	81.1
Spanish	76.2	61.5	81.4	77.6	83.1
Thai	80.0	58.8	–	78.6	84.0
Turkish	77.9	59.6	–	83.5	87.1
Ukrainian	73.0	64.7	–	74.7	79.8
Vietnamese	74.3	36.9	–	74.0	80.6

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

Language	Metric	VoxCPM2	Fish S2-Pro
ar (Arabic)	CER	1.23%	0.30%
da (Danish)	WER	2.70%	3.52%
de (German)	WER	0.96%	0.64%
el (Greek)	WER	3.17%	4.61%
en (English)	WER	0.42%	1.03%
es (Spanish)	WER	1.33%	0.64%
fi (Finnish)	WER	2.24%	2.80%
fr (French)	WER	2.16%	2.34%
he (Hebrew)	CER	2.98%	15.27%
hi (Hindi)	CER	0.79%	0.91%
id (Indonesian)	WER	1.36%	1.68%
it (Italian)	WER	1.65%	1.08%
ja (Japanese)	CER	2.40%	1.82%
km (Khmer)	CER	2.05%	75.15%
ko (Korean)	CER	0.95%	0.29%
lo (Lao)	CER	1.90%	87.40%
ms (Malay)	WER	1.75%	1.41%
my (Burmese)	CER	1.42%	85.27%
nl (Dutch)	WER	1.25%	1.68%
no (Norwegian)	WER	2.49%	3.76%
pl (Polish)	WER	1.90%	1.65%
pt (Portuguese)	WER	1.48%	1.49%
ru (Russian)	WER	0.90%	0.86%
sv (Swedish)	WER	2.22%	2.63%
sw (Swahili)	CER	1.07%	2.02%
th (Thai)	CER	0.94%	1.92%
tl (Tagalog)	WER	2.63%	4.00%
tr (Turkish)	WER	1.65%	1.65%
vi (Vietnamese)	WER	1.56%	5.56%
zh (Chinese)	CER	0.92%	1.02%
Average (30 languages)		1.68%	-

Project	Description
Nano-vLLM	High-throughput and Fast GPU serving
vLLM-Omni	Official vLLM omni-modal serving for VoxCPM2 — PagedAttention, OpenAI-compatible API
llama.cpp-omni	Full-duplex omni inference engine — VoxCPM2 GGUF on CPU / Metal / CUDA / Vulkan
VoxCPM.cpp	GGML/GGUF: CPU, CUDA, Vulkan inference
audio.cpp	ggml-based unified C++ inference framework — CPU/CUDA/Vulkan/Metal, CLI & server, no Python
VoxCPM-ONNX	ONNX export for CPU inference
VoxCPMANE	Apple Neural Engine backend
voxcpm_rs	Rust re-implementation
ComfyUI-VoxCPM	ComfyUI node-based workflows
ComfyUI_RH_VoxCPM	Feature-complete ComfyUI workflow for VoxCPM 2 with multi-speaker generation, LoRA, and auto-ASR
ComfyUI-VoxCPMTTS	ComfyUI TTS extension
TTS WebUI	Browser-based TTS extension
Video Dubbing Translator	Local-first video dubbing: vocal separation → WhisperX ASR → translation → VoxCPM2 voice cloning → lip-sync