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 1881–1890 of 3012 papers

Title	Date	Tasks	Status
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems	Aug 5, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robust Prediction of Punctuation and Truecasing for Medical ASR	Jul 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ROBUST SPEECH COMMAND RECOGNITION USING LABEL-DRIVEN TIME-FREQUENCY MASKING	Oct 22, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robust Spoken Language Understanding with RL-based Value Error Recovery	Sep 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robust Translation of French Live Speech Transcripts	Sep 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Role of Intonation in Scoring Spoken English	Aug 23, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Role of non-linear data processing on speech recognition task in the framework of reservoir computing	Dec 19, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Role-specific Language Models for Processing Recorded Neuropsychological Exams	Jun 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Romanization Encoding For Multilingual ASR	Jul 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
RSC: A Romanian Read Speech Corpus for Automatic Speech Recognition	May 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