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Automatic Speech Recognition on LibriSpeech clean (test)

0.98WERUnited-MedASR
0.9541.12951.3051.4805Jun 14, 2021Apr 13, 2022Feb 11, 2023Dec 11, 2023Oct 10, 2024Aug 9, 2025Jun 9, 2026

Evaluation results

MethodLinks
United-MedASR2024.110.98———————————————————
InfoMamba2026.031.1———————————————————
Qwen3-Omni-InstModel Size=30B-A3B (↑)2026.041.15———————————————————
Qwen3-Omni InstructModel Size=30B-A3B, Inference Mode=Offline2026.041.15———————————————————
OracleDescription=Topline for rescoring2026.061.15———————————————————
Step-Audio2Params=null2026.011.17———————————————————
NIM4-ASRModel Size=2.3B, Inference Mode=Offline2026.041.19———————————————————
Qwen3-OmniSize=30B-A3B2026.041.2———————————————————
Qwen3-Omni-A3B-InstructVariant=Omni-A3B-Instruct2026.031.22———————————————————
Step-Audio2-miniModel Size=8B+ (↑)2026.041.22———————————————————
Step-Audio2 MiniModel Size=8B+, Inference Mode=Offline2026.041.22———————————————————
Qwen3-Omni#Param=30B2026.051.22———————————————————
OursModel Size=2.3B2026.041.23———————————————————
Kimi-AudioModel Size=7B2026.021.28———————————————————
Kimi-Audio2026.031.28———————————————————
FireRedASR2S LLMModel Size=8B+, Inference Mode=Offline2026.041.29———————————————————
NIM4-ASRModel Size=2.3B, Inference Mode=Stream2026.041.29———————————————————
LLM-based correctionExternal Data=ChatGPT, more datasets2025.121.3———————————————————
Kimi-Audio-InstructModel Size=7B2025.081.3——1.3————————————————
APinSetting=Aggressive (τin=0.80, τdeep=0.70), lin=✓, ldeep=-, FRR=86.28, Pre. GFLOPs=351.18, FLOPs Ratio=86.242026.041.3———————————————————
Kimi-AudioSize=9B2026.041.3———————————————————
Kimi-AudioParams=null2026.011.32———————————————————
Kimi-Audio-7B-InstructType=Audio, Size=7B2026.021.33———————————————————
Step-Audio-2-miniVersion=2-mini2026.031.33———————————————————
FAdam2024.111.34———————————————————
Vanillalin=-, ldeep=-, FRR=100.0, Pre. GFLOPs=407.22, FLOPs Ratio=100.02026.041.34———————————————————
APinSetting=Conservative (τin=0.90, τdeep=0.80), lin=✓, ldeep=-, FRR=96.44, Pre. GFLOPs=392.69, FLOPs Ratio=96.432026.041.34———————————————————
APdeepSetting=Conservative (τin=0.90, τdeep=0.80), lin=-, ldeep=✓, FRR=71.18, Pre. GFLOPs=390.42, FLOPs Ratio=95.872026.041.36———————————————————
DAPSetting=Conservative (τin=0.90, τdeep=0.80), lin=✓, ldeep=✓, FRR=68.19, Pre. GFLOPs=376.14, FLOPs Ratio=92.362026.041.36———————————————————
FireRedASR-LLMModel Size=8B+ (↑)2026.041.37———————————————————
FC-XXLDecoder=RNNT, Train Dataset=ASR Set2023.051.38———————————————————
Kimi-AudioBase Model=Kimi-Audio2026.021.38———————————————————
Audio Flamingo 3Type=Audio, Size=8B2026.021.39———————————————————
pre-trained Conformer XXL + Noisy StudentUnlabeled Data=LL-60k, LM=LSTM, Training Type=Pre-Training + Self-Training2021.061.4———————————————————
SOTA2021.091.4———————————————————
Conformer + Wav2vec 2.0 + SpecAugment-based Noisy Student Training with Libri-Light2024.111.4———————————————————
w2v-BERT XXL2024.111.4———————————————————
SOTA2026.011.4———————————————————
Granite Speech 3.3-8BAudio Data=76k hrs, Supervision Type=Large-scale supervised / Speech LLMs2024.051.4———————————————————
MiniCPM-o 4.5Size=9B2026.041.4———————————————————
Previous SOTA2026.061.4———————————————————
Step-Audio-2-miniType=Audio, Size=8B2026.021.41———————————————————
DAPSetting=Aggressive (τin=0.80, τdeep=0.70), lin=✓, ldeep=✓, FRR=40.71, Pre. GFLOPs=324.64, FLOPs Ratio=79.722026.041.43———————————————————
FC-XXLDecoder=RNNT, Train Dataset=ASR Set ++2023.051.46———————————————————
parakeet-rnnt-1.1b2024.111.46———————————————————
Eureka-Audio-InstructType=Ours, Size=1.7B2026.021.46———————————————————
CanarySize/h=31,200, Params/B=1.00, Evaluation Protocol=short-form2026.011.48———————————————————
APdeepSetting=Aggressive (τin=0.80, τdeep=0.70), lin=-, ldeep=✓, FRR=48.81, Pre. GFLOPs=377.39, FLOPs Ratio=92.682026.041.48———————————————————
CanarySize=1B2026.061.48———————————————————
Canary-QwenSize=2.5B2026.061.49———————————————————
pre-trained Conformer XXLUnlabeled Data=LL-60k, LM=LSTM, Training Type=Pre-Training2021.061.5———————————————————
wav2vec 2.0 + self-trainingUnlabeled Data=LL-60k, LM=Transformer, Training Type=Pre-Training + Self-Training2021.061.5———————————————————
FC-XLDecoder=RNNT, Train Dataset=ASR Set2023.051.5———————————————————
Conv + Transformer + wav2vec2.0 + pseudo labeling2024.111.5———————————————————
Denoising LMExternal Data=YourTTS2025.121.5———————————————————
Canary-1b-flashArchitecture Type=AR, Params (B)=1.0, RTFx=29.25, Avg. WER=7.22026.021.5———————————————————
Conformer XXLAudio Data=LL-60k, Supervision Type=Self-supervised pretraining (LL-60k)2024.051.5———————————————————
baseline ASR (LS+TTS) + corr.-firstAudio Data=LS-960h, Supervision Type=Proposed Correction-first decoding2024.051.5———————————————————
Fun-ASRParams=7.7B2026.011.51———————————————————
Voxtral Small-24BModel Size=24B2026.021.53———————————————————
Qwen2.5-Omni-7BType=Omni, Size=7B2026.021.53———————————————————
AF-Next-Instruct2026.041.54———————————————————
Qwen3-ASR-1.7BModel Size=2.0B (↓)2026.041.56———————————————————
Qwen3-ASR 1.7BModel Size=2.0B, Inference Mode=Offline2026.041.56———————————————————
Audio Flamingo 32026.041.57———————————————————
Seed-ASR (ML)Language=EN2024.071.58———————————————————
Seed-ASRParams=null2026.011.58———————————————————
Seed-ASR2026.031.58———————————————————
Eureka-Audio-BaseType=Ours, Size=1.7B2026.021.59———————————————————
BEST-RQModality=A, LibriSpeech PT=false, HowTo100M Pretrained Params=None, Notes=LibriSpeech trained model evaluated directly2023.031.6———————————————————
Universal-1Language=EN2024.071.6———————————————————
Qwen2-Audio2025.021.6———————————————————
Qwen3-Omni-InstructType=Omni, Size=30B-A3B2026.021.6———————————————————
Qwen2-AudioArchitecture Type=AR, Params (B)=8.4, RTFx=4.18, Avg. WER=8.32026.021.6———————————————————
ZipformerAudio Data=LS-960h, Supervision Type=No external audio data2024.051.6———————————————————
Canary-Qwen-2.5BAudio Data=234k hrs, Supervision Type=Large-scale supervised / Speech LLMs2024.051.6———————————————————
Qwen3-ASR-1.7BAudio Data=40M hrs +, Supervision Type=Large-scale supervised / Speech LLMs2024.051.6———————————————————
ECLMParams=0.5B, Decoding Strategy=corr.-first, Latency (ms)=4572024.051.6—————————————0—————
Qwen2-AudioModel Size=7B2026.031.6———————————————————
CTC + AEDNum. layers Enc.=24, Num. layers Dec.=8, Text-util.=-2026.041.6———————————————————
Qwen2-AudioSize=7B2026.061.6———————————————————
Speech-HandsFramework=Qwen2.5-Omni, External Reference=Canary-1b-v22026.011.61———————————————————
Canary-QwenFine-tuning Protocol=Zero-shot2026.061.61———————————————————
C-DR MoERouting Strategy=Hard Routing, Classifier Type=Ground-Truth Routing2026.061.61———————————————————
C-DR MoERouting Strategy=Hard Routing, Classifier Type=Weighted-layer Classifier (Single-Stage)2026.061.61———————————————————
C-DR MoERouting Strategy=Hard Routing, Classifier Type=Weighted-layer Classifier (Coarse-to-Fine)2026.061.61———————————————————
C-DR MoERouting Strategy=Hard Routing, Classifier Type=Weighted-layer Classifier (Coarse-to-Fine), Entropy-Aware Routing (EAR)=true2026.061.61———————————————————
C-DR MoERouting Strategy=Soft Routing, Classifier Type=Weighted-layer Classifier (Coarse-to-Fine)2026.061.61———————————————————
C-DR MoERouting Strategy=Soft Routing, Classifier Type=Weighted-layer Classifier (Coarse-to-Fine), Entropy-Aware Routing (EAR)=true2026.061.61———————————————————
ROVERSNR=20dB2026.061.62———————————————————
FC-XLDecoder=RNNT, Train Dataset=ASR Set ++2023.051.63———————————————————
Qwen3-ASR-1.7B2026.031.63———————————————————
LongCat-Next2026.031.63———————————————————
Fun-ASR-nanoModel Size=0.8B (↓)2026.041.63———————————————————
Fun-ASR NanoModel Size=0.8B, Inference Mode=Offline2026.041.63———————————————————
Transformer2025.081.63——————————————————196
Hybrid DecodingPatch size K=12025.081.63——————————————————58
Hybrid DecodingPatch size K=32025.081.63——————————————————59
Hybrid DecodingPatch size K=52025.081.63——————————————————60
Hybrid DecodingPatch size K=72025.081.63——————————————————62