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SOTA ASR Error Correction benchmarks and papers with code | Wizwand
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ASR Error Correction
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
Common Voice Frisian (test)
GPT-5.1
WER
8.9
27
2mo ago
Frisian Offline Data (test)
GPT-5.1
WER
13.8
27
2mo ago
STOP (test)
ORACLE
WER
5.7
18
4mo ago
CommonVoice (CV) (test)
ORACLE
WER
5.8
18
4mo ago
CORAAL (test)
compositional oracle
WER
10.7
8
4mo ago
LRS2 (test)
compositional oracle
WER
2.6
8
4mo ago
SwitchBoard (test)
compositional oracle
Word Error Rate (WER)
0.042
8
4mo ago
CV-accent (test)
compositional oracle
WER
0.079
8
4mo ago
Tedlium-3 (test)
compositional oracle
WER
0.7
8
4mo ago
CHIME-4 (test)
compositional oracle
WER
2.8
8
4mo ago
ATIS (test)
compositional oracle
WER
1.1
8
4mo ago
ASR Error Correction Evaluation Set (test)
Our full model
WER
16.07
6
4mo ago
Internal Dataset (dev)
AR model
WER
10.31
6
4mo ago
Internal Dataset (test)
AR model
WER
10.22
6
4mo ago
AISHELL-1 (dev)
AR model
WER
3.8
6
4mo ago
AISHELL-1 (test)
AR model
WER
4.08
6
4mo ago
Hindi (hi)
G-SPIN
WER
31
5
1mo ago
Telugu te
G-SPIN
WER
0.39
5
1mo ago
Spanish (es)
G-SPIN
WER
34
5
1mo ago
English (en)
G-SPIN
WER
32
5
1mo ago
Common Voice (Persian) SNR = 10 dB
ELN-conditioned model
WER
28.02
4
4mo ago
Common Voice (Persian) SNR = 5 dB
ELN-conditioned model
WER
32.34
4
4mo ago
Common Voice (Persian) Mixed Noise
ELN-conditioned model
WER
24.84
4
4mo ago
Common Voice Persian (Clean)
Fine-tuned (No ELN)
WER
24.06
4
4mo ago
FLEURS Persian
Error-Aware RAG
WER
18.83
3
1mo ago
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