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 1001–1010 of 3012 papers

Title	Date	Tasks	Status	Hype
Biased Self-supervised learning for ASR	Nov 4, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system	Nov 3, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise	Nov 3, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks	Nov 3, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Streaming Audio-Visual Speech Recognition with Alignment Regularization	Nov 3, 2022	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified	0
Probing Statistical Representations For End-To-End ASR	Nov 3, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Towards Zero-Shot Code-Switched Speech Recognition	Nov 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Monolingual Recognizers Fusion for Code-switching Speech Recognition	Nov 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
More Speaking or More Speakers?	Nov 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing	Nov 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1

Show:10 25 50

← PrevPage 101 of 302Next →

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