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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2891–2900 of 3012 papers

Title	Date	Tasks	Status
Boosting End-to-End Multilingual Phoneme Recognition through Exploiting Universal Speech Attributes Constraints	Sep 16, 2023	AttributeAutomatic Speech Recognition	—Unverified
Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training	May 2, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Boosting Norwegian Automatic Speech Recognition	Jul 4, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning	Jul 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization	Mar 25, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Bootstrap an end-to-end ASR system by multilingual training, transfer learning, text-to-text mapping and synthetic audio	Nov 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition	Feb 28, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training	Sep 25, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages	Jun 20, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Handling Trade-Offs in Speech Separation with Sparsely-Gated Mixture of Experts	Nov 11, 2022	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