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 2671–2680 of 3012 papers

Title	Date	Tasks	Status
Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada	Jul 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sub-word Level Lip Reading With Visual Attention	Oct 14, 2021	Audio-Visual Active Speaker DetectionAutomatic Speech Recognition	—Unverified
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition	Aug 10, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SUH_ASR@LT-EDI-ACL2022: Transformer based Approach for Speech Recognition for Vulnerable Individuals in Tamil	May 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Summary on the ISCSLP 2022 Chinese-English Code-Switching ASR Challenge	Oct 12, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training	Jun 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sur l'utilisation de la reconnaissance automatique de la parole pour l'aide au diagnostic diff\'erentiel entre la maladie de Parkinson et l'AMS (On using automatic speech recognition for the differential diagnosis of Parkinson's Disease and MSA This article presents a study regarding the contribution of automatic speech processing in the differential diagnosis between Parkinson's disease and MSA (Multi-System Atrophies))	Jun 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Svarah: Evaluating English ASR Systems on Indian Accents	May 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms	Nov 20, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition	Jun 5, 2024	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