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 2321–2330 of 3012 papers

Title	Date	Tasks	Status
Environment-aware Reconfigurable Noise Suppression	Jan 29, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Xi as a Front-End for Robust Automatic Speech Recognition	Jan 28, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Joint Contextual Modeling for ASR Correction and Language Understanding	Jan 28, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition	Jan 27, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks	Jan 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network	Jan 24, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Semi-supervised ASR by End-to-end Self-training	Jan 24, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
TLT-school: a Corpus of Non Native Children Speech	Jan 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sequence Labeling Approach to the Task of Sentence Boundary Detection	Jan 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Transformer-based Online CTC/attention End-to-End Speech Recognition Architecture	Jan 15, 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