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 1461–1470 of 3012 papers

Title	Date	Tasks	Status
Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking	Sep 27, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC	May 30, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking	Dec 3, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Named Entity Recognition in Spoken Dialog Systems by Context and Speech Pattern Modeling	Jul 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Named Entity Transcription with Contextual LLM-based Revision	Jun 12, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation	Jul 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Neural Language Models with Weight Norm Initialization and Regularization	Oct 1, 2018	Automatic Speech Recognition (ASR)Language Modeling	—Unverified
Improving noise robust automatic speech recognition with single-channel time-domain enhancement network	Mar 9, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Noise Robustness of an End-to-End Neural Model for Automatic Speech Recognition	Oct 23, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives	Mar 17, 2024	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