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 591–600 of 3012 papers

Title	Date	Tasks	Status
Accent Recognition with Hybrid Phonetic Features	May 5, 2021	Audio ClassificationAutomatic Speech Recognition	—Unverified
ASR Error Detection via Audio-Transcript entailment	Jul 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Genetic Programming Approach To Zero-Shot Neural Architecture Ranking	Oct 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR Error Correction using Large Language Models	Sep 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR Error Correction and Domain Adaptation Using Machine Translation	Mar 13, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Generative Model of a Pronunciation Lexicon for Hindi	May 6, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustic Model Compression with MAP adaptation	May 1, 2017	Automatic Speech Recognition (ASR)model	—Unverified
ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction	Dec 4, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR Bundestag: A Large-Scale political debate dataset in German	Feb 12, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks	Oct 21, 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