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 2131–2140 of 3012 papers

Title	Date	Tasks	Status
Convolutional Speech Recognition with Pitch and Voice Quality Features	Sep 2, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition	Sep 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Data augmentation using prosody and false starts to recognize non-native children's speech	Aug 29, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Learned Transferable Architectures Can Surpass Hand-Designed Architectures for Large Scale Speech Recognition	Aug 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts	Aug 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus	Aug 24, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Cross-Utterance Language Models with Acoustic Error Sampling	Aug 19, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study	Aug 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces	Aug 14, 2020	AllAutomatic Speech Recognition	—Unverified
Large-scale Transfer Learning for Low-resource Spoken Language Understanding	Aug 13, 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