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 361–370 of 3012 papers

Title	Date	Tasks	Status
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio	Jul 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analysis of GlobalPhone and Ethiopian Languages Speech Corpora for Multilingual ASR	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adapting Automatic Speech Recognition for Accented Air Traffic Control Communications	Feb 27, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparative Study of LLM-based ASR and Whisper in Low Resource and Code Switching Scenario	Dec 1, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analyse de l'effet de la r\'everb\'eration sur la reconnaissance automatique de la parole (Analyzing how reverberation affects Automatic Speech Recognition)	Jun 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Adaptive Psychoacoustic Model for Automatic Speech Recognition	Sep 14, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning	Oct 7, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders	Dec 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attentive Adversarial Learning for Domain-Invariant Training	Apr 28, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition	Apr 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