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 1471–1480 of 3012 papers

Title	Date	Tasks	Status
Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction	Oct 28, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition	Nov 9, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models	Jan 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Practical Aspects of End-to-End Multi-Talker Speech Recognition for Online and Offline Scenarios	Jun 17, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion	May 19, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Punctuation Restoration for Speech Transcripts via External Data	Oct 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Rare Words Recognition through Homophone Extension and Unified Writing for Low-resource Cantonese Speech Recognition	Feb 2, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Readability for Automatic Speech Recognition Transcription	Apr 9, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization	Nov 4, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation	Nov 18, 2021	Acoustic echo cancellationAutomatic Speech Recognition	—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