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From the paper (arXiv v3). SIM, MOS, WER and MCD are on clean LibriTTS prompts; the last three columns are speaker similarity on other datasets. Bold marks the best value per column, and † marks models reported in the paper's appendix.

Model SIM ↑ MOS ↑ WER ↓ MCD ↓ VCTK SIM ↑ Chinese SIM ↑ Cross-lingual SIM ↑
Qwen3-TTS 0.61 4.39 0.05 5.79 0.62 0.72 0.67
IndexTTS 0.61 4.06 0.05 6.61 0.57 0.72 0.67
dots.tts † 0.60 4.17 0.06 6.11 0.57 0.68 0.61
CosyVoice 2 0.58 4.37 0.05 6.02 0.58 0.72 0.65
ZipVoice 0.58 4.13 0.05 7.09 0.55 0.71 0.63
MOSS-TTS v1.5 † 0.57 4.32 0.06 6.66 0.51 0.68 0.65
GLM-TTS 0.57 4.08 0.09 6.41 0.57 0.69 0.66
MaskGCT 0.57 3.93 0.09 6.91 0.56 0.67 0.63
Higgs TTS 3 † 0.56 4.23 0.05 6.32 0.45 0.63 0.30
F5-TTS 0.56 3.99 0.12 6.96 0.54 0.70 0.65
Higgs Audio 0.56 4.30 0.25 6.06 0.52 0.58 0.54
Fish Audio S2 † 0.54 4.37 0.04 6.16 0.51 0.66 0.62
MGM-Omni 0.54 4.28 0.09 5.82 0.45 0.71 0.63
PlayDiffusion 0.51 4.15 0.05 8.06 0.43 0.44 0.46
MOSS-TTSD 0.49 4.10 0.38 7.09 0.44 0.44 0.44
VibeVoice 0.48 3.83 0.23 6.76 0.44 0.56 0.53
FishSpeech 0.47 4.37 0.17 6.47 0.43 0.61 0.57
XTTS-v2 0.45 3.81 0.07 8.62 0.45 0.57 0.51
Spark-TTS 0.41 4.06 0.33 5.83 0.53 0.57 0.48
OZSpeech 0.39 3.21 0.06 6.87 0.25 0.00 0.17
OpenVoice V2 0.24 4.30 0.07 7.06 0.39 0.43 0.30
StyleTTS 2 0.23 4.30 0.05 6.81 0.24 0.11 0.21
Speaker similarity under anti-cloning protection (LibriTTS)
A lower SIM under protection means the protection hides the speaker's voice better. | Model | Clean | SafeSpeech | SPEC | Enkidu | Gaussian | POP | | --- | ---: | ---: | ---: | ---: | ---: | ---: | | Qwen3-TTS | 0.61 | 0.38 | 0.36 | 0.50 | 0.41 | 0.58 | | IndexTTS | 0.61 | 0.35 | 0.32 | 0.47 | 0.39 | 0.57 | | dots.tts † | 0.60 | 0.41 | 0.39 | 0.49 | 0.44 | 0.57 | | CosyVoice 2 | 0.58 | 0.32 | 0.30 | 0.45 | 0.38 | 0.55 | | ZipVoice | 0.58 | 0.29 | 0.26 | 0.44 | 0.26 | 0.54 | | MOSS-TTS v1.5 † | 0.57 | 0.33 | 0.31 | 0.43 | 0.33 | 0.53 | | GLM-TTS | 0.57 | 0.33 | 0.31 | 0.44 | 0.39 | 0.53 | | MaskGCT | 0.57 | 0.30 | 0.28 | 0.41 | 0.31 | 0.53 | | Higgs TTS 3 † | 0.56 | 0.48 | 0.48 | 0.49 | 0.34 | 0.53 | | F5-TTS | 0.56 | 0.21 | 0.18 | 0.43 | 0.14 | 0.52 | | Higgs Audio | 0.56 | 0.26 | 0.24 | 0.43 | 0.27 | 0.52 | | Fish Audio S2 † | 0.54 | 0.32 | 0.30 | 0.43 | 0.34 | 0.52 | | MGM-Omni | 0.54 | 0.18 | 0.17 | 0.32 | 0.23 | 0.49 | | PlayDiffusion | 0.51 | 0.17 | 0.15 | 0.34 | 0.16 | 0.47 | | MOSS-TTSD | 0.49 | 0.24 | 0.22 | 0.34 | 0.25 | 0.08 | | VibeVoice | 0.48 | 0.27 | 0.25 | 0.37 | 0.28 | 0.45 | | FishSpeech | 0.47 | 0.24 | 0.21 | 0.33 | 0.23 | **0.01** | | XTTS-v2 | 0.45 | 0.26 | 0.24 | 0.31 | 0.24 | 0.41 | | Spark-TTS | 0.41 | 0.13 | 0.11 | 0.14 | 0.06 | 0.36 | | OZSpeech | 0.39 | 0.16 | 0.15 | 0.19 | 0.15 | 0.34 | | OpenVoice V2 | 0.24 | 0.18 | 0.18 | 0.19 | 0.18 | 0.24 | | StyleTTS 2 | 0.23 | **0.09** | **0.08** | **0.12** | **0.03** | 0.21 |

Results for compression, deepfake detectability, long-form and expressive speech are in the paper and on the website.

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