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FLEURS

Benchmarks

Task NameDataset NameSOTA ResultTrend
Automatic Speech RecognitionFleurs
WER0.1058
56
Automatic Speech RecognitionFLEURS en
WER2.72
34
Automatic Speech RecognitionFleurs zh
CER2.41
26
Speech RecognitionFleurs En
WER2.4
24
Script confusion mitigationFLEURS zh-trad (test)
Accuracy91
21
Script confusion mitigationFLEURS zh-sim (test)
Normalized Edit Similarity Accuracy93
21
Script confusion mitigationFLEURS sr-cyrl (test)
Normalized Edit Similarity0.94
21
Script confusion mitigationFLEURS sr-latn (test)
Accuracy (Normalized Edit Similarity)96
21
Speech RecognitionFLEURS Kazakh (test)
WER (Oracle)15.4
17
Automatic Speech Recognitionfleurs Tamil
WER28.68
17
Automatic Speech RecognitionFleurs en (test)
WER0.336
17
Noise RobustnessFLEURS (test)
Robustness Score (Gaussian Noise)84.46
15
Speech TranslationFLEURS (test)
COMET (Low)0.853
15
Automatic Speech RecognitionFLEURS
AMH12.77
13
Document RetrievalFleurs Retrieval-Eval (test)
nDCG@557.89
13
Speech TranslationFLEURS X→En (test)
BLEU (Average)34
12
Speech-to-Text TranslationFLEURS 9×27 directions (test)
ara78.7
10
Automatic Speech RecognitionFLEURS Somali (test)
SFR100
9
Automatic Speech RecognitionFLEURS Malayalam (test)
SFR100
9
Automatic Speech RecognitionFLEURS Bengali (test)
SFR100
9
Automatic Speech RecognitionFLEURS Hindi (test)
Speech Frame Rate (SFR)99.7
9
Automatic Speech RecognitionFLEURS Pashto (test)
Speech Frame Rate (SFR)100
9
Speech-to-Text TranslationFLEURS supervised training languages (test)
BLEU (en→zh)40.87
9
Automatic Speech RecognitionFleurs Malay
WER8.55
9
Automatic Speech RecognitionFleurs Mandarin
CER8
9
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