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 131–140 of 3012 papers

Title	Date	Tasks	Status	Hype
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors	Feb 12, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification	Feb 11, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation Models	Feb 9, 2025	Audio-Visual Speech RecognitionAutomatic Speech Recognition	CodeCode Available	1
Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance	Feb 7, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond	Feb 6, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Leveraging Broadcast Media Subtitle Transcripts for Automatic Speech Recognition and Subtitling	Feb 5, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition	Feb 3, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
A Differentiable Alignment Framework for Sequence-to-Sequence Modeling via Optimal Transport	Feb 3, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation	Feb 1, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language	Feb 1, 2025	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