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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 921–930 of 3012 papers

Title	Date	Tasks	Status	Hype
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition	Feb 2, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Improving Rare Words Recognition through Homophone Extension and Unified Writing for Low-resource Cantonese Speech Recognition	Feb 2, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives	Jan 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study	Jan 22, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset	Jan 21, 2023	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified	0
Language Agnostic Data-Driven Inverse Text Normalization	Jan 20, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition	Jan 19, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Syllable Subword Tokens for Open Vocabulary Speech Recognition in Malayalam	Jan 17, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition	Jan 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Multi-resolution location-based training for multi-channel continuous speech separation	Jan 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0

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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