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 301–310 of 3012 papers

Title	Date	Tasks	Status
A Deep Generative Acoustic Model for Compositional Automatic Speech Recognition	Oct 23, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A comparison of end-to-end models for long-form speech recognition	Nov 6, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective Training Framework for Light-Weight Automatic Speech Recognition Models	May 22, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts	Sep 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-based Cascaded Multimodal Speech Translation	Oct 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement	Feb 27, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective End-to-End Modeling Approach for Mispronunciation Detection	May 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR Error Correction and Domain Adaptation Using Machine Translation	Mar 13, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR Error Correction using Large Language Models	Sep 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features	Jun 1, 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