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 351–360 of 3012 papers

Title	Date	Tasks	Status
Robust fine-tuning of speech recognition models via model merging: application to disordered speech	May 26, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Beyond Manual Transcripts: The Potential of Automated Speech Recognition Errors in Improving Alzheimer's Disease Detection	May 26, 2025	Alzheimer's Disease DetectionAutomatic Speech Recognition	—Unverified
KIT's Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization	May 26, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence	May 26, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring Generative Error Correction for Dysarthric Speech Recognition	May 26, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
CHSER: A Dataset and Case Study on Generative Speech Error Correction for Child ASR	May 24, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining	May 23, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context	May 23, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
An Effective Training Framework for Light-Weight Automatic Speech Recognition Models	May 22, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding	May 22, 2025	Action ClassificationAutomatic 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