Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 1631–1640 of 3012 papers

Title	Date	Tasks	Status
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems	May 16, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR for Documenting Acutely Under-Resourced Indigenous Languages	May 1, 2018	Automatic Speech Recognition (ASR)Language Modeling	—Unverified
ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German	Dec 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding	Aug 30, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR in German: A Detailed Error Analysis	Apr 12, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR is all you need: cross-modal distillation for lip reading	Nov 28, 2019	AllAutomatic Speech Recognition	—Unverified
ASR Rescoring and Confidence Estimation with ELECTRA	Oct 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Assessing ASR Model Quality on Disordered Speech using BERTScore	Sep 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non-Native Speakers of Three Major Languages in Dictation Workflows	May 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors	Apr 24, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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All datasets LRS2 RealMAN Sagalee HUI speech corpus LRS3-TED M-AILabs speech dataset The Spoken Wikipedia Corpora Voxforge German VoxPopuli

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TM-CTC	Test WER	10.1	—	Unverified
2	TM-seq2seq	Test WER	9.7	—	Unverified
3	CTC/attention	Test WER	8.2	—	Unverified
4	LF-MMI TDNN	Test WER	6.7	—	Unverified
5	Whisper-LLaMA	Test WER	6.6	—	Unverified
6	End2end Conformer	Test WER	3.9	—	Unverified
7	End2end Conformer	Test WER	3.7	—	Unverified
8	MoCo + wav2vec (w/o extLM)	Test WER	2.7	—	Unverified
9	CTC/Attention	Test WER	1.5	—	Unverified
10	Whisper	Test WER	1.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SpatialNet	CER	14.5	—	Unverified
2	CleanMel-L-mask	CER	14.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer	Test WER	15.32	—	Unverified
2	Whisper-largev3-finetuned	Test WER	10.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	1.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DistillAV	WER	1.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	4.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	8.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	3.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer (German)	WER (%)	8.98	—	Unverified