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 1871–1880 of 3012 papers

Title	Date	Tasks	Status
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR	Oct 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Wav2vec-Switch: Contrastive Learning from Original-noisy Speech Pairs for Robust Speech Recognition	Oct 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards	Sep 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Weak-Attention Suppression For Transformer Based Speech Recognition	May 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Weakly Supervised Construction of ASR Systems with Massive Video Data	Aug 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Weighted-Sampling Audio Adversarial Example Attack	Jan 26, 2019	Adversarial AttackAutomatic Speech Recognition	—Unverified
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm	Jan 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition	Sep 21, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
WER we are and WER we think we are	Oct 7, 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