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 1701–1710 of 3012 papers

Title	Date	Tasks	Status
Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding	Oct 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Lifelong Learning of End-to-end ASR	Apr 4, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Maximum Likelihood Training for Transducer-based Streaming Speech Recognition	Nov 26, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions	Nov 18, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Continuous Silent Speech Recognition using EEG	Feb 6, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR	May 31, 2021	AllAutomatic Speech Recognition	—Unverified
Towards Online End-to-end Transformer Automatic Speech Recognition	Oct 25, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Pretraining Robust ASR Foundation Model with Acoustic-Aware Data Augmentation	May 27, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Probing Contact Center Large Language Models	Dec 26, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Processing of the Oral History Interviews and Related Printed Documents	May 1, 2018	Automatic Speech Recognition (ASR)Optical Character Recognition (OCR)	—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