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 971–980 of 3012 papers

Title	Date	Tasks	Status
Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics	Jun 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering	Jun 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses	Jun 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition	Jun 5, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Incorporating L2 Phonemes Using Articulatory Features for Robust Speech Recognition	Jun 5, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
End-to-End Joint Target and Non-Target Speakers ASR	Jun 4, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings	Jun 4, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models	Jun 3, 2023	Accented Speech RecognitionActive Learning	CodeCode Available
Streaming Speech-to-Confusion Network Speech Recognition	Jun 2, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Explainability of Speech Recognition Transformers via Gradient-based Attention Visualization	Jun 2, 2023	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