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 11–20 of 3012 papers

Title	Date	Tasks	Status
Bi-directional Context-Enhanced Speech Large Language Models for Multilingual Conversational ASR	Jun 16, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
BUT System for the MLC-SLM Challenge	Jun 16, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models	Jun 16, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Lightweight and Robust Multi-Channel End-to-End Speech Recognition with Spherical Harmonic Transform	Jun 13, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
(SimPhon Speech Test): A Data-Driven Method for In Silico Design and Validation of a Phonetically Balanced Speech Test	Jun 13, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enabling automatic transcription of child-centered audio recordings from real-world environments	Jun 13, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Named Entity Transcription with Contextual LLM-based Revision	Jun 12, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Regularizing Learnable Feature Extraction for Automatic Speech Recognition	Jun 11, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia	Jun 10, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Benchmarking Foundation Speech and Language Models for Alzheimer's Disease and Related Dementia Detection from Spontaneous Speech	Jun 9, 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