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 1211–1220 of 3012 papers

Title	Date	Tasks	Status
CarneliNet: Neural Mixture Model for Automatic Speech Recognition	Jul 22, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial synthesis based data-augmentation for code-switched spoken language identification	May 30, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Capturing Multi-Resolution Context by Dilated Self-Attention	Apr 7, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Capitalization and Punctuation Restoration: a Survey	Nov 21, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers	Jul 30, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Can Whisper perform speech-based in-context learning?	Sep 13, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Are disentangled representations all you need to build speaker anonymization systems?	Aug 22, 2022	AllAutomatic Speech Recognition	—Unverified
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion	May 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition	May 29, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Recorded Debating Dataset	Sep 19, 2017	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