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 61–70 of 3012 papers

Title	Date	Tasks	Status	Hype
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	0
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	0
Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across Modalities	May 23, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding	May 22, 2025	Action ClassificationAutomatic Speech Recognition	CodeCode Available	0
An Effective Training Framework for Light-Weight Automatic Speech Recognition Models	May 22, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition	May 22, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Large Language Models based ASR Error Correction for Child Conversations	May 22, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
From Weak Labels to Strong Results: Utilizing 5,000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data	May 20, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties	May 20, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages	May 20, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0

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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