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 2881–2890 of 3012 papers

Title	Date	Tasks	Status
Speech Translation Refinement using Large Language Models	Jan 25, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR	Aug 10, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition	Jun 20, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
WiSeBE: Window-based Sentence Boundary Evaluation	Aug 27, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Quaternion Recurrent Neural Networks	Jun 12, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech	Jun 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
End to End ASR System with Automatic Punctuation Insertion	Dec 3, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Seq2seq for Automatic Paraphasia Detection in Aphasic Speech	Dec 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network	Feb 26, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Sequence Labeling Approach to the Task of Sentence Boundary Detection	Jan 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	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