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 2071–2080 of 3012 papers

Title	Date	Tasks	Status
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition	Nov 3, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis	Nov 3, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List	Nov 2, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation	Nov 2, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Impact of ASR on Alzheimer’s Disease Detection: All Errors are Equal, but Deletions are More Equal than Others	Nov 1, 2020	AllAutomatic Speech Recognition	—Unverified
ELITR: European Live Translator	Nov 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Direct Segmentation Models for Streaming Speech Translation	Nov 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Improving End-to-End Bangla Speech Recognition with Semi-supervised Training	Nov 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Effectively pretraining a speech translation decoder with Machine Translation data	Nov 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages	Oct 31, 2020	Acoustic ModellingAutomatic Speech Recognition	CodeCode Available

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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