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Automatic Speech Recognition on LibriSpeech (test-other)

1.6WEROracle Ocp
1.52962.00482.482.9552Jun 20, 2020Jun 21, 2021Jun 23, 2022Jun 25, 2023Jun 26, 2024Jun 28, 2025Jun 30, 2026

Evaluation results

MethodLinks
Oracle OcpType=compositional oracle2023.091.6———————————————————————
Conformer LUnlabeled data (hrs)=None, LM Fusion=Yes2020.101.9———————————————————————
OracleDescription=Topline for rescoring2026.062.15———————————————————————
Qwen3-Omni-InstModel Size=30B-A3B (↑)2026.042.38———————————————————————
Qwen3-Omni InstructModel Size=30B-A3B, Inference Mode=Offline2026.042.38———————————————————————
Kimi-Audio-InstructModel Size=7B2025.082.4————————————2.4——————————
Kimi-AudioSize=9B2026.042.4———————————————————————
Kimi-Audio2026.032.42———————————————————————
Kimi-AudioBase Model=Kimi-Audio2026.022.45———————————————————————
Kimi-Audio-7BIn FR=12.5, Out FR=12.52026.062.45———————————————————————
FC-XXLDecoder=RNNT, Train Dataset=ASR Set ++2023.052.47———————————————————————
Qwen3-Omni-A3B-InstructVariant=Omni-A3B-Instruct2026.032.48———————————————————————
Qwen3-Omni#Param=30B2026.052.48———————————————————————
FAdamArchitecture=Conformer (600M), Pre-training=w2v-BERT, Fine-tuning protocol=Semi-supervised (LibriLight), Optimizer=FAdam2024.052.49———————————————————————
Qwen3-OmniSize=30B-A3B2026.042.5———————————————————————
FC-XXLDecoder=RNNT, Train Dataset=ASR Set2023.052.52———————————————————————
NIM4-ASRModel Size=2.3B, Inference Mode=Offline2026.042.53———————————————————————
APinSetting=Aggressive (τin=0.80, τdeep=0.70), lin=✓, ldeep=-, FRR=86.28, Pre. GFLOPs=351.18, FLOPs Ratio=86.242026.042.55———————————————————————
Kimi-Audio-7B-InstructType=Audio, Size=7B2026.022.57———————————————————————
Vanillalin=-, ldeep=-, FRR=100.0, Pre. GFLOPs=407.22, FLOPs Ratio=100.02026.042.58———————————————————————
APdeepSetting=Conservative (τin=0.90, τdeep=0.80), lin=-, ldeep=✓, FRR=71.18, Pre. GFLOPs=390.42, FLOPs Ratio=95.872026.042.58———————————————————————
AdamArchitecture=Conformer (600M), Pre-training=w2v-BERT, Fine-tuning protocol=Semi-supervised (LibriLight), Optimizer=Adam2024.052.59———————————————————————
APinSetting=Conservative (τin=0.90, τdeep=0.80), lin=✓, ldeep=-, FRR=96.44, Pre. GFLOPs=392.69, FLOPs Ratio=96.432026.042.59———————————————————————
DAPSetting=Conservative (τin=0.90, τdeep=0.80), lin=✓, ldeep=✓, FRR=68.19, Pre. GFLOPs=376.14, FLOPs Ratio=92.362026.042.59———————————————————————
pre-trained Conformer XXL + Noisy StudentUnlabeled Data=LL-60k, LM=LSTM, Training Type=Pre-Training + Self-Training2021.062.6———————————————————————
SOTA2021.092.6———————————————————————
Gen3 Conformer XXL+Unlabeled data (hrs)=60k, LM Fusion=Yes2020.102.6———————————————————————
DAPSetting=Aggressive (τin=0.80, τdeep=0.70), lin=✓, ldeep=✓, FRR=40.71, Pre. GFLOPs=324.64, FLOPs Ratio=79.722026.042.6———————————————————————
Step-Audio2-miniModel Size=8B+ (↑)2026.042.61———————————————————————
Step-Audio2 MiniModel Size=8B+, Inference Mode=Offline2026.042.61———————————————————————
OursModel Size=2.3B2026.042.63———————————————————————
APdeepSetting=Aggressive (τin=0.80, τdeep=0.70), lin=-, ldeep=✓, FRR=48.81, Pre. GFLOPs=377.39, FLOPs Ratio=92.682026.042.68———————————————————————
Adam (w2v-BERT paper)Architecture=Conformer (600M), Pre-training=w2v-BERT, Optimizer=Adam, Source=[53]2024.052.7———————————————————————
Gen3 Conformer XXLUnlabeled data (hrs)=60k, LM Fusion=Yes2020.102.7———————————————————————
Gen3 Conformer XXL+Unlabeled data (hrs)=60k, LM Fusion=No2020.102.7———————————————————————
Oracle OnbType=n-best oracle2023.092.7———————————————————————
Step-Audio-2-miniType=Audio, Size=8B2026.022.76———————————————————————
AF-Next-Instruct2026.042.76———————————————————————
Gen3 Conformer XXLUnlabeled data (hrs)=60k, LM Fusion=No2020.102.8———————————————————————
MiniCPM-o 4.5Size=9B2026.042.8———————————————————————
Qwen3-Omni-30B-A3BIn FR=12.5, Out FR=12.52026.062.82———————————————————————
Seed-ASR (ML)Language=EN2024.072.84———————————————————————
Seed-ASR2026.032.84———————————————————————
Step-Audio-2-miniVersion=2-mini2026.032.86———————————————————————
Parameter ClusteringSparsity=10%, Parameters=1397M, Mixed sparsity=Yes, GFLOPs (Total / Trans.)=2499.16 / 2469.302026.062.86———————————————————————
FC-XLDecoder=RNNT, Train Dataset=ASR Set2023.052.88———————————————————————
HUBERT X-LARGEUnlabeled Data=LL-60k, LM=Transformer, Training Type=Pre-Training2021.062.9———————————————————————
HuBERT-x-largeImplementation=Fairseq, Speech Data (Unlabeled/Labeled)=60k/960, In-domain LM=true2026.012.9———————————————————————
Canary-1b-flashArchitecture Type=AR, Params (B)=1.0, RTFx=29.25, Avg. WER=7.22026.022.9———————————————————————
HuBERT-XLAudio Data=LL-60k, Supervision Type=Self-supervised pretraining (LL-60k)2024.052.9———————————————————————
Granite Speech 3.3-8BAudio Data=76k hrs, Supervision Type=Large-scale supervised / Speech LLMs2024.052.9———————————————————————
NIM4-ASRModel Size=2.3B, Inference Mode=Stream2026.042.92———————————————————————
CanarySize/h=31,200, Params/B=1.00, Evaluation Protocol=short-form2026.012.93———————————————————————
Qwen3-Omni-InstructType=Omni, Size=30B-A3B2026.022.93———————————————————————
CanarySize=1B2026.062.93———————————————————————
Step-Audio 2 mini2025.122.95———————————————————————
Audio Flamingo 3Type=Audio, Size=8B2026.022.96———————————————————————
FireRedASR2S LLMModel Size=8B+, Inference Mode=Offline2026.042.97———————————————————————
SLAM-LLMBiasing list size (N)=10002026.012.99—————9.332.31————————————————
data2vec 2.0Audio Data=LL-60k, Supervision Type=Self-supervised pretraining (LL-60k)2024.053———————————————————————
FC-XLDecoder=RNNT, Train Dataset=ASR Set ++2023.053.06———————————————————————
Speech-HandsFramework=Qwen2.5-Omni, External Reference=Canary-1b-v22026.013.07———————————————————————
Transformer2025.083.08—177—————————————————————
Hybrid DecodingPatch size K=12025.083.08—56—————————————————————
Hybrid DecodingPatch size K=32025.083.08—56—————————————————————
Hybrid DecodingPatch size K=52025.083.08—58—————————————————————
Hybrid DecodingPatch size K=72025.083.08—61—————————————————————
Hybrid DecodingPatch size K=92025.083.08—62—————————————————————
pre-trained Conformer XXLUnlabeled Data=LL-60k, LM=LSTM, Training Type=Pre-Training2021.063.1———————————————————————
wav2vec 2.0 + self-trainingUnlabeled Data=LL-60k, LM=Transformer, Training Type=Pre-Training + Self-Training2021.063.1———————————————————————
Pre-trained Conformer XXLUnlabeled data (hrs)=60k, LM Fusion=Yes2020.103.1———————————————————————
Universal-1Language=EN2024.073.1———————————————————————
Llama 3 70BParameters=70B2024.073.1———————————————————————
Conformer XXLAudio Data=LL-60k, Supervision Type=Self-supervised pretraining (LL-60k)2024.053.1———————————————————————
Canary-Qwen-2.5BAudio Data=234k hrs, Supervision Type=Large-scale supervised / Speech LLMs2024.053.1———————————————————————
Canary-QwenSize=2.5B2026.063.1———————————————————————
Audio Flamingo 32026.043.13———————————————————————
Canary-1b-v2Model Type=ASR model2026.013.17———————————————————————
Speech-HandsFramework=Qwen2.5-Omni, External Reference=Parakeet-tdt-0.6b-v32026.013.18———————————————————————
Qwen2.5-Omni-7BType=Omni, Size=7B2026.023.19———————————————————————
Pre-trained Conformer XLUnlabeled data (hrs)=60k, LM Fusion=Yes2020.103.2———————————————————————
WavLM-largeImplementation=UniSpeech, Speech Data (Unlabeled/Labeled)=94k/960, In-domain LM=true2026.013.2———————————————————————
Parakeet-TDT-v2Audio Data=120k hrs, Supervision Type=Large-scale supervised / Speech LLMs2024.053.2———————————————————————
Eureka-Audio-InstructType=Ours, Size=1.7B2026.023.24———————————————————————
wav2vec 2.0 LARGEUnlabeled data=LV-60k, LM=Transf.2020.063.3———————————————————————
wav2vec 2.0 LARGEUnlabeled Data=LL-60k, LM=Transformer, Training Type=Pre-Training2021.063.3———————————————————————
HUBERT LARGEUnlabeled Data=LL-60k, LM=Transformer, Training Type=Pre-Training2021.063.3———————————————————————
ConformerXXL-LibriLight2021.093.3———————————————————————
Gen4 Conformer LUnlabeled data (hrs)=60k, LM Fusion=Yes2020.103.3———————————————————————
Pre-trained CTCUnlabeled data (hrs)=60k, LM Fusion=Yes2020.103.3———————————————————————
Pre-trained Conformer XXLUnlabeled data (hrs)=60k, LM Fusion=No2020.103.3———————————————————————
Denoising LMExternal Data=YourTTS2025.123.3———————————————————————
wav2vec 2.0-largeImplementation=Fairseq, Speech Data (Unlabeled/Labeled)=60k/960, In-domain LM=true2026.013.3———————————————————————
HuBERT-largeImplementation=Fairseq, Speech Data (Unlabeled/Labeled)=60k/960, In-domain LM=true2026.013.3———————————————————————
wav2vec 2.0-LargeAudio Data=LL-60k, Supervision Type=Self-supervised pretraining (LL-60k)2024.053.3———————————————————————
HuBERT-LargeAudio Data=LL-60k, Supervision Type=Self-supervised pretraining (LL-60k)2024.053.3———————————————————————
baseline ASR (LS+TTS) + corr.-firstAudio Data=LS-960h, Supervision Type=Proposed Correction-first decoding2024.053.3———————————————————————
wav2vec 2.02026.033.3———————————————————————
Eureka-Audio-BaseType=Ours, Size=1.7B2026.023.34———————————————————————
FireRedASR-LLMModel Size=8B+ (↑)2026.043.36———————————————————————