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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 361–370 of 3012 papers

Title	Date	Tasks	Status	Hype
Romanization Encoding For Multilingual ASR	Jul 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech	Jul 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units	Jul 5, 2024	Acoustic Unit DiscoveryAutomatic Speech Recognition	CodeCode Available	2
Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect	Jul 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models	Jul 5, 2024	Adversarial AttackAutomatic Speech Recognition	CodeCode Available	1
Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models	Jul 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Written Term Detection Improves Spoken Term Detection	Jul 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis	Jul 4, 2024	Accented Speech RecognitionAutomatic Speech Recognition	—Unverified	0
Multi-Convformer: Extending Conformer with Multiple Convolution Kernels	Jul 4, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Improving Self-supervised Pre-training using Accent-Specific Codebooks	Jul 4, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1

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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