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 21–30 of 3012 papers

Title	Date	Tasks	Status
Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation	Jun 9, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speech Recognition on TV Series with Video-guided Post-Correction	Jun 8, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automatic Speech Recognition of African American English: Lexical and Contextual Effects	Jun 7, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Low-Resource Domain Adaptation for Speech LLMs via Text-Only Fine-Tuning	Jun 6, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Bridging the Modality Gap: Softly Discretizing Audio Representation for LLM-based Automatic Speech Recognition	Jun 6, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Lightweight Prompt Biasing for Contextualized End-to-End ASR Systems	Jun 6, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Better Pseudo-labeling with Multi-ASR Fusion and Error Correction by SpeechLLM	Jun 5, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Customizing Speech Recognition Model with Large Language Model Feedback	Jun 5, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
LESS: Large Language Model Enhanced Semi-Supervised Learning for Speech Foundational Models	Jun 5, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
LLM-based phoneme-to-grapheme for phoneme-based speech recognition	Jun 5, 2025	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