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 1541–1550 of 3012 papers

Title	Date	Tasks	Status
Motivations, challenges, and perspectives for the development of an Automatic Speech Recognition System for the under-resourced Ngiemboon Language	Sep 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MSDA: Combining Pseudo-labeling and Self-Supervision for Unsupervised Domain Adaptation in ASR	May 30, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations	Jun 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research	Jun 26, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events	Sep 25, 2024	Audio TaggingAutomatic Speech Recognition	—Unverified
MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems	Feb 14, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MTL-SLT: Multi-Task Learning for Spoken Language Tasks	May 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mu^2SLAM: Multitask, Multilingual Speech and Language Models	Dec 19, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-channel Conversational Speaker Separation via Neural Diarization	Nov 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-channel Multi-frame ADL-MVDR for Target Speech Separation	Dec 24, 2020	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