List your company

Automatic Speech Recognition on Fleurs zh

0.83WERERNIE 5.0
0.49162.77585.067.3442Oct 28, 2025Dec 1, 2025Jan 4, 2026Feb 8, 2026Mar 14, 2026Apr 17, 2026May 22, 2026

Evaluation results

MethodLinks
ERNIE 5.02026.020.83—
ERNIE 5.0-Base2026.021.58—
Qwen3-Omni-Instruct2026.022.2—
Qwen3 Omni2025.102.2—
Qwen3-Omni-A3B-InstructVariant=Omni-A3B-Instruct2026.032.2—
GPT-4o-Audio2026.022.44—
Step-Audio-2-miniVersion=2-mini2026.032.53—
StepAudio 2.5 ASRMTP training=true2026.052.63—
StepAudio 2.5 ASRMTP training=false2026.052.63—
Kimi Audio2026.022.69—
Kimi Audio2025.102.69—
Kimi-Audio2026.032.69—
Qwen3-ASR-1.7B2026.052.74—
Ming-Flash-Omni2025.102.82—
Doubao-ASR-26032026.052.83—
Kimi-Audio-7BReference audio=None2026.042.87—
Qwen3-Omni-30B-A3BReference audio=None2026.042.88—
Qwen2.5-Omni-7BReference audio=None2026.042.92—
UAF-30B-A3BReference audio=None2026.042.92—
FunASR-Nano2026.053.19—
LongCat-Next2026.033.24—
Qwen2-Audio-7BReference audio=None2026.043.63—
Gemini-3.1-Flash-Lite-previewVersion=3.1, Tier=Flash-Lite-preview2026.033.88—
LongCat-Flash-Omni2026.023.99—
Qwen-TTS-Tokenizer-25Hz (Stage 1)Codebook Size=32768, FPS=252026.014.23—
S3 Tokenizer(FSQ)Codebook Size=6561, FPS=252026.014.43—
Qwen-TTS-Tokenizer-25Hz (Stage 2)Codebook Size=32768, FPS=252026.014.67—
Gemini-3-Pro2026.024.98—
S3 Tokenizer(VQ)Codebook Size=4096, FPS=252026.015.03—
Paraformer-zh-streamingReference audio=None2026.045.98—
Qwen2 Audio2025.107.5—
Gemini-2.5-Flash-Lite-previewVersion=2.5, Tier=Flash-Lite-preview2026.037.77—
VibeVoice-ASR2026.058.77—
MiMo-Audio2026.039.29—
A-ToMeBase Model=Qwen2-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—8
A-ToMeBase Model=Kimi-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—6.26
A-ToMeBase Model=GLM-ASR-Nano, Token Retention Rate=70%, Compression Ratio=30%2026.02—5.08
CDPrunerBase Model=Qwen2-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—4.88
CDPrunerBase Model=Kimi-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—6.73
CDPrunerBase Model=GLM-ASR-Nano, Token Retention Rate=70%, Compression Ratio=30%2026.02—4.99
FastAdaSPBase Model=Qwen2-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—5.47
FastAdaSPBase Model=Kimi-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—4.27
FastAdaSPBase Model=GLM-ASR-Nano, Token Retention Rate=70%, Compression Ratio=30%2026.02—4.34
Fun-ASR-nano2026.03—2.56
GLM-ASR-NanoBase Model=GLM-ASR-Nano2026.02—3.44
Kimi-AudioBase Model=Kimi-Audio2026.02—2.87
Qwen2-AudioBase Model=Qwen2-Audio2026.02—3.63
Qwen3-ASR-1.7B2026.03—2.41
SampBase Model=Qwen2-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—4.37
SampBase Model=Kimi-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—4.37
SampBase Model=GLM-ASR-Nano, Token Retention Rate=70%, Compression Ratio=30%2026.02—3.76
Uni-ASRStreaming mode=false, Beam search decoding width=32026.03—2.57
Uni-ASRStreaming mode=true, Chunk length=1000 ms, Beam search decoding width=32026.03—3.43
VisionZipBase Model=Qwen2-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—8.02
VisionZipBase Model=Kimi-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—7.63
VisionZipBase Model=GLM-ASR-Nano, Token Retention Rate=70%, Compression Ratio=30%2026.02—8.17
VisPrunerBase Model=Qwen2-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—7
VisPrunerBase Model=Kimi-Audio, Token Retention Rate=60%, Compression Ratio=40%2026.02—5.73
VisPrunerBase Model=GLM-ASR-Nano, Token Retention Rate=70%, Compression Ratio=30%2026.02—6.95
Whisper-large-v22026.03—14.7