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Automatic Speech Recognition on KeSpeech

3.05CERFireRedASR2S LLM
2.02048.970215.9222.8698Jan 12, 2026Jan 31, 2026Feb 20, 2026Mar 11, 2026Mar 31, 2026Apr 19, 2026May 9, 2026

Evaluation results

MethodLinks
FireRedASR2S LLMModel Size=8B+, Inference Mode=Offline2026.043.05——————————
FireRedASR-LLMModel Size=8B+ (↑)2026.043.53——————————
FireRed-LLMParams=8.3B2026.053.58——————————
FireRed-AEDParams=1.2B2026.053.97——————————
Step-Audio2-miniModel Size=8B+ (↑)2026.043.98——————————
Step-Audio2 MiniModel Size=8B+, Inference Mode=Offline2026.043.98——————————
NIM4-ASRModel Size=2.3B, Inference Mode=Offline2026.044.4——————————
OursModel Size=2.3B2026.044.56——————————
FireRed-AED2026.014.85——————————
Qwen3-ASR-1.7BModel Size=2.0B (↓)2026.044.98——————————
Qwen3-ASR 1.7BModel Size=2.0B, Inference Mode=Offline2026.044.98——————————
Dolphin-CN-Dialect-0.4BParams=0.4B2026.055.04——————————
NIM4-ASRModel Size=2.3B, Inference Mode=Stream2026.045.08——————————
Qwen3-ASR-1.7BParameters=1.7B2026.015.1——————————
Doubao-ASR2026.015.27——————————
ZipformerTraining Data=ASR+ST, Training Steps=320K, Decoding Strategy=Greedy2026.015.45——————————
Qwen3-1.7BParams=1.7B2026.055.73——————————
ZipformerTraining Data=ASR-only, Training Steps=312K, Decoding Strategy=Greedy2026.015.75——————————
Qwen3-Omni-InstModel Size=30B-A3B (↑)2026.046——————————
Qwen3-Omni InstructModel Size=30B-A3B, Inference Mode=Offline2026.046——————————
Qwen3-0.6BParams=0.6B2026.057.07——————————
Qwen3-ASR-0.6BParameters=0.6B2026.017.08——————————
Fun-ASR-nanoModel Size=0.8B (↓)2026.047.18——————————
Fun-ASR NanoModel Size=0.8B, Inference Mode=Offline2026.047.18——————————
FunASR-Nano-2512Params=0.8B2026.057.85——————————
GLM-ASRParams=1.5B2026.057.85——————————
Dolphin-CN-Dialect-0.1BParams=0.1B2026.058.797——————————
GLM-ASR-nanoModel Size=1.5B (↓)2026.049.59——————————
GLM-ASR NanoModel Size=1.5B, Inference Mode=Offline2026.049.59——————————
Paraformer2026.0111.26——————————
Paraformer zhParams=220M2026.0514.46——————————
SenseVoice-SParams=234M2026.0517.84——————————
Gemini-2.5-Pro2026.0124.71——————————
GPT-4o-Transcribe2026.0126.87——————————
Whisper-large-v32026.0128.79——————————
APdeeplin=-, ldeep=✓, FRR=14.30, Pre. GFLOPs=718.12, FLOPs Ratio=91.96, Setting=Aggressive (τin=0.80, τdeep=0.70)2026.04——————————3.31
APdeeplin=-, ldeep=✓, FRR=33.29, Pre. GFLOPs=731.96, FLOPs Ratio=93.73, Setting=Conservative (τin=0.90, τdeep=0.80)2026.04——————————3.31
APinlin=✓, ldeep=-, FRR=78.64, Pre. GFLOPs=612.93, FLOPs Ratio=78.49, Setting=Aggressive (τin=0.80, τdeep=0.70)2026.04——————————3.39
APinlin=✓, ldeep=-, FRR=93.56, Pre. GFLOPs=730.28, FLOPs Ratio=93.51, Setting=Conservative (τin=0.90, τdeep=0.80)2026.04——————————3.26
Baichuan-omniParameters=7B2024.10—2.86.477.76.15.898.37.2—
DAPlin=✓, ldeep=✓, FRR=14.91, Pre. GFLOPs=566.30, FLOPs Ratio=72.52, Setting=Aggressive (τin=0.80, τdeep=0.70)2026.04——————————3.44
DAPlin=✓, ldeep=✓, FRR=33.76, Pre. GFLOPs=686.39, FLOPs Ratio=87.89, Setting=Conservative (τin=0.90, τdeep=0.80)2026.04——————————3.29
Gemini-3.1 Pro2026.04——————————23.67
Qwen2-Audio-InstructParameters=7B2024.10—5.89.710.5118.28.413.810.311.2—
Qwen3.5-Omni-Flash2026.04——————————4.47
Qwen3.5-Omni-Plus2026.04——————————3.46
Vanillalin=-, ldeep=-, FRR=100.0, Pre. GFLOPs=780.94, FLOPs Ratio=100.0, Setting=N/A2026.04——————————3.28
Whisper-large-v3Parameters=1.55B2024.10—18.744.852.954.850.122.954.714750.4—