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 651–660 of 3012 papers

Title	Date	Tasks	Status
Cleanformer: A multichannel array configuration-invariant neural enhancement frontend for ASR in smart speakers	Apr 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages	Mar 1, 2018	Automatic Speech Recognition (ASR)Machine Translation	—Unverified
Challenges and Opportunities of Speech Recognition for Bengali Language	Sep 27, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Clinical Dialogue Transcription Error Correction using Seq2Seq Models	May 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Challenges and Opportunities in Multi-device Speech Processing	Jun 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Chain-of-Thought Prompting for Speech Translation	Sep 17, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ArzEn: A Speech Corpus for Code-switched Egyptian Arabic-English	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Advocating Character Error Rate for Multilingual ASR Evaluation	Oct 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Chain of Correction for Full-text Speech Recognition with Large Language Models	Apr 2, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
CEASR: A Corpus for Evaluating Automatic Speech Recognition	May 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