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 911–920 of 3012 papers

Title	Date	Tasks	Status
Are disentangled representations all you need to build speaker anonymization systems?	Aug 22, 2022	AllAutomatic Speech Recognition	—Unverified
Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset	Jan 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Discourse on ASR Measurement: Introducing the ARPOCA Assessment Tool	May 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions	May 16, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DiscreTalk: Text-to-Speech as a Machine Translation Problem	May 12, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automatic Speech Recognition for Biomedical Data in Bengali Language	Jun 16, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models	Jul 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Discriminative Self-training for Punctuation Prediction	Apr 21, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DNN-Based Multilingual Automatic Speech Recognition for Wolaytta using Oromo Speech	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