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 541–550 of 3012 papers

Title	Date	Tasks	Status
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese	Jan 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
UCorrect: An Unsupervised Framework for Automatic Speech Recognition Error Correction	Jan 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2	Jan 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification?	Jan 10, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Continuously Learning New Words in Automatic Speech Recognition	Jan 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators	Jan 8, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
LUPET: Incorporating Hierarchical Information Path into Multilingual ASR	Jan 8, 2024	Acoustic Unit DiscoveryAutomatic Speech Recognition	—Unverified
High-precision Voice Search Query Correction via Retrievable Speech-text Embedings	Jan 8, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploratory Evaluation of Speech Content Masking	Jan 8, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation	Jan 7, 2024	Audio-Visual Speech RecognitionAutomatic 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