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 571–580 of 3012 papers

Title	Date	Tasks	Status	Hype
Creating Spoken Dialog Systems in Ultra-Low Resourced Settings	Dec 11, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective Learning	Dec 11, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition	Dec 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training	Dec 3, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
End-to-End Speech-to-Text Translation: A Survey	Dec 2, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
End-to-end Joint Punctuated and Normalized ASR with a Limited Amount of Punctuated Training Data	Nov 29, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
D4AM: A General Denoising Framework for Downstream Acoustic Models	Nov 28, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extractors	Nov 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
How does end-to-end speech recognition training impact speech enhancement artifacts?	Nov 20, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding	Nov 19, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0

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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