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 731–740 of 3012 papers

Title	Date	Tasks	Status
Articulatory Features for ASR of Pathological Speech	Jul 28, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation	May 29, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model	May 15, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual Language Model Adaptation for Conversational Agents	Jun 26, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual RNN-T For Open Domain ASR	Jun 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems	Apr 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual Speech Recognition with Difficult Negative Training Examples	Oct 29, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual-Utterance Training for Automatic Speech Recognition	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface	Apr 1, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Training for Multilingual Acoustic Modeling	Jun 17, 2019	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