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 1091–1100 of 3012 papers

Title	Date	Tasks	Status
Multimodal Speech Recognition for Language-Guided Embodied Agents	Feb 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
A Comparison of Speech Data Augmentation Methods Using S3PRL Toolkit	Feb 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MoLE : Mixture of Language Experts for Multi-Lingual Automatic Speech Recognition	Feb 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network	Feb 26, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Speech Corpora Divergence Based Unsupervised Data Selection for ASR	Feb 26, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Ensemble knowledge distillation of self-supervised speech models	Feb 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Massively Multilingual ASR With Auxiliary CTC Objectives	Feb 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Factual Consistency Oriented Speech Recognition	Feb 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Evaluating Automatic Speech Recognition in an Incremental Setting	Feb 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition	Feb 22, 2023	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