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 2141–2150 of 3012 papers

Title	Date	Tasks	Status
The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages	Feb 21, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The ETAPE speech processing evaluation	May 1, 2014	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The evaluation of a code-switched Sepedi-English automatic speech recognition system	Mar 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems	Jul 13, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines	Mar 28, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning	Sep 29, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation	Aug 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The HW-TSC’s Offline Speech Translation System for IWSLT 2022 Evaluation	May 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The IBM 2016 Speaker Recognition System	Feb 23, 2016	2kAutomatic Speech Recognition	—Unverified
The IBM Speaker Recognition System: Recent Advances and Error Analysis	May 5, 2016	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