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 1391–1400 of 3012 papers

Title	Date	Tasks	Status
Identifying Teacher Questions Using Automatic Speech Recognition in Classrooms	Sep 1, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary	Dec 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale	Jul 19, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others	Apr 2, 2019	AllAlzheimer's Disease Detection	—Unverified
Impact of ASR on Alzheimer’s Disease Detection: All Errors are Equal, but Deletions are More Equal than Others	Nov 1, 2020	AllAutomatic Speech Recognition	—Unverified
Impact of Dataset on Acoustic Models for Automatic Speech Recognition	Mar 25, 2022	Acoustic ModellingAutomatic Speech Recognition	—Unverified
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution	Apr 27, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR	Mar 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Importance of Different Temporal Modulations of Speech: A Tale of Two Perspectives	Mar 31, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation	Aug 1, 2016	Automatic Speech Recognition (ASR)Language Modeling	—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