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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2851–2860 of 3012 papers

Title	Date	Tasks	Status
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models	Jun 3, 2023	Accented Speech RecognitionActive Learning	CodeCode Available
Semantic Mask for Transformer based End-to-End Speech Recognition	Dec 6, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition	Nov 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation	Jul 23, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition	Sep 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations	Aug 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Targeted Adversarial Examples for Black Box Audio Systems	May 20, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study	Aug 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition	Sep 25, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection	May 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available

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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