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 1541–1550 of 3012 papers

Title	Date	Tasks	Status
An Application for Building a Polish Telephone Speech Corpus	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
An Approach to Improve Robustness of NLP Systems against ASR Errors	Mar 25, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders	Jun 7, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An ASR-free Fluency Scoring Approach with Self-Supervised Learning	Feb 20, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Anatomy of Industrial Scale Multilingual ASR	Apr 15, 2024	AnatomyAutomatic Speech Recognition	—Unverified
An Attentional Model for Speech Translation Without Transcription	Jun 1, 2016	Automatic Speech Recognition (ASR)model	—Unverified
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering	May 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution	Apr 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech Recognition	Sep 10, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features	Jun 1, 2020	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