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 721–730 of 3012 papers

Title	Date	Tasks	Status
Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition	Apr 8, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture	Sep 28, 2018	Audio-Visual Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Audio Visual Speech Recognition using Deep Recurrent Neural Networks	Nov 9, 2016	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified
Amortized Neural Networks for Low-Latency Speech Recognition	Aug 3, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition	Mar 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
4-bit Quantization of LSTM-based Speech Recognition Models	Aug 27, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Handling Numeric Expressions in Automatic Speech Recognition	Jul 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Audio-Visual Speech Recognition is Worth 32328 Voxels	Sep 20, 2021	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings	Oct 31, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Mixture of Expert Based Deep Neural Network for Improved ASR	Dec 2, 2021	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