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 2561–2570 of 3012 papers

Title	Date	Tasks	Status
Exploring RNN-Transducer for Chinese Speech Recognition	Nov 13, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Corpus Phonetics Tutorial	Nov 13, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Online Attention-based Model for Speech Recognition	Nov 13, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-encoder multi-resolution framework for end-to-end speech recognition	Nov 12, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Stream attention-based multi-array end-to-end speech recognition	Nov 12, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling	Nov 10, 2018	Automatic Speech Recognition (ASR)speech-recognition	—Unverified
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition	Nov 10, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multimodal Grounding for Sequence-to-Sequence Speech Recognition	Nov 9, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities	Nov 8, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments	Nov 7, 2018	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