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Automatic Speech Recognition on LibriSpeech clean

1.16WERERNIE 5.0
1.04641.81322.583.3468Oct 27, 2023Apr 4, 2024Sep 12, 2024Feb 19, 2025Jul 30, 2025Jan 6, 2026Jun 16, 2026

Evaluation results

MethodLinks
ERNIE 5.02026.021.16———
Samba-ASRorganization=SandLogic2025.011.17———
Qwen3-Omni-Instruct2026.021.22———
Kimi Audio2026.021.28———
StepAudio 2.5 ASRMTP training=true2026.051.38———
Kimi Audio2026.041.38———
GPT-4o-Audio2026.021.39———
GPT-4o-Transcribe2026.011.39———
nvidia/parakeet-tdt-1.1bparameters=1.1b2025.011.4———
StepAudio 2.5 ASRMTP training=false2026.051.4———
Step-Audio Flamingo 32026.041.4———
Raon-Speech2026.041.44———
ERNIE 5.0-Base2026.021.47———
nvidia/canary-1bparameters=1b2025.011.48———
Whisper-large-v32026.011.51———
MiniCPM-o 4.52026.041.51———
LongCat-Flash-Omni2026.021.57———
Audio Flamingo 3Backbone=Audio Flamingo 3, Method=Baseline2026.061.57———
Qwen2-Audio2026.031.6—1.6—
Fun-Audio Chat2026.041.6———
Mixed Training + Length Aug + Timestamp RegLength Augmentation=true, Timestamp Regularization=true2026.041.62———
Qwen3-ASR-1.7BParameters=1.7B2026.011.63———
DAPlin=✓, ldeep=✓, FRR=14.91, Pre. GFLOPs=566.30, FLOPs Ratio=72.52, Setting=Aggressive (τin=0.80, τdeep=0.70)2026.041.63———
APinlin=✓, ldeep=-, FRR=78.64, Pre. GFLOPs=612.93, FLOPs Ratio=78.49, Setting=Aggressive (τin=0.80, τdeep=0.70)2026.041.64———
DAPlin=✓, ldeep=✓, FRR=33.76, Pre. GFLOPs=686.39, FLOPs Ratio=87.89, Setting=Conservative (τin=0.90, τdeep=0.80)2026.041.64———
Mixed Training + Length Aug + Reduced TFLength Augmentation=true, Reduced Teacher Forcing=true2026.041.64———
Vanillalin=-, ldeep=-, FRR=100.0, Pre. GFLOPs=780.94, FLOPs Ratio=100.0, Setting=N/A2026.041.65———
APdeeplin=-, ldeep=✓, FRR=14.30, Pre. GFLOPs=718.12, FLOPs Ratio=91.96, Setting=Aggressive (τin=0.80, τdeep=0.70)2026.041.65———
APinlin=✓, ldeep=-, FRR=93.56, Pre. GFLOPs=730.28, FLOPs Ratio=93.51, Setting=Conservative (τin=0.90, τdeep=0.80)2026.041.65———
APdeeplin=-, ldeep=✓, FRR=33.29, Pre. GFLOPs=731.96, FLOPs Ratio=93.73, Setting=Conservative (τin=0.90, τdeep=0.80)2026.041.66———
FunASR-MLT-Nano2026.011.68———
Qwen3-ASR-1.7B2026.051.69———
CrisperWhisper2026.041.71———
ASR-only Baseline2026.041.72———
Mixed Training + Length AugLength Augmentation=true2026.041.72———
Qwen2.5-Omni2026.041.73———
Qwen2.5-Omni-7B + CoATBackbone=Qwen2.5-Omni-7B, Method=CoAT2026.061.77———
Qwen2-Audio2026.011.8———
MinMo2026.011.8———
FunASR-Nano2026.051.8———
Qwen2.5-Omni-7BBackbone=Qwen2.5-Omni-7B, Method=Baseline2026.061.8———
Whisper-large-v3Model size=large2026.021.81———
Mixed Training2026.041.81———
nyrahealth/CrisperWhisper2025.011.82———
Audio Flamingo 3 + CoATBackbone=Audio Flamingo 3, Method=CoAT2026.061.99———
MoST2026.012———
openai/whisper-large-v3model_size=large-v32025.012.01———
Phi-4 Multimodal2026.012.1———
Parakeet-TDT-v2Correction method=None2024.052.1———
ECLMCorrection model size=0.5B, Decoding strategy=greedy, Base model=Parakeet-TDT-v22024.052.1——0
Qwen3-ASR-0.6BParameters=0.6B2026.012.11———
OSUM2026.032.19—2.19—
Qwen-Audio2026.042.19———
Qwen3-ASR-1.7BModel Scale=1.7B2026.052.2———
Fun-Audio Omni2026.042.28———
HyperCLOVA X 8B Omni2026.042.28———
VibeVoice-ASR2026.052.3———
Qwen2-Audio + CoATBackbone=Qwen2-Audio, Method=CoAT2026.062.3———
Step-AudioTrain audio duration(h)=>1000k2026.042.36———
Qwen2.5-OmniTrain audio duration(h)=>1000k2026.042.37———
AR Beam2026.062.4———
Ark-Base+TD+OPDModel Scale=0.6B, TD=Teacher-data adaptation, OPD=On-policy distillation2026.052.45———
UniAudio 2.02026.022.71———
Gemini-3-Pro2026.022.74———
Doubao-ASR2026.012.78———
Qwen3-ASR-0.6BModel Scale=0.6B2026.052.81———
Ark-Base+OPDModel Scale=0.6B, OPD=On-policy distillation2026.052.88———
Gemini-2.5-Pro2026.012.89———
Doubao-ASR-26032026.052.94———
AR Greedy2026.063———
NAR-MBR|Z|=64, Niter=12026.063.1———
NAR-MBR|Z|=64, Niter=102026.063.1———
NAR-MBR|Z|=256, Niter=12026.063.1———
NAR-MBR|Z|=256, Niter=102026.063.1———
Step-Audio-chat-3BParameters=3B, Note=Directly use official reported results2026.023.11———
SLAM-CTCTrain Data (Audio)=Libri2026.043.13———
NAR-MBR|Z|=256, Niter=02026.063.2———
SeamlessM4T-v22026.013.3———
SLAMTrain audio duration(h)=1.8k2026.043.3———
NARNiter=02026.063.3———
NARNiter=102026.063.3———
NAR-MBR|Z|=64, Niter=02026.063.3———
T-T2023.103.4610——
NARNiter=12026.063.4———
TASU2Train Data (Text)=Libri, Conditioning=WER-binned2026.043.41———
LLaMA-Omni22026.013.5———
Mimo-Audio-Instruct-7BParameters=7B2026.023.5———
Offline2023.103.51———
OSUM-Pangu2026.033.51—3.51—
Seg2Seg2023.103.55324——
TASU2Train audio duration(h)=02026.043.68———
Whisper + Llama 2 + MMS TTSShots=10, Max context length=1024, Approach=Cascade Topline2024.023.7———
Ark-BaseModel Scale=0.6B2026.053.75———
MoChAConfig=DeCoT2023.103.9240——
Qwen2.5-Omni-7BParameters=7B2026.023.92———
TASU2Train Data (Text)=Libri+Slide, Conditioning=WER-binned2026.043.94———
T-TAlignment=ConstAlign2023.104328——
T-TAlignment=FastEmit2023.104195——
T-TAlignment=SelfAlign2023.104145——
MoChAConfig=CTC2023.104240——