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 1411–1420 of 3012 papers

Title	Date	Tasks	Status	Hype
Improving CTC-based speech recognition via knowledge transferring from pre-trained language models	Feb 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Korean Tokenization for Beam Search Rescoring in Speech Recognition	Feb 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
VADOI:Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition	Feb 22, 2022	Action DetectionActivity Detection	—Unverified	0
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation	Feb 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition	Feb 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
SemEval 2022 Task 12: Symlink- Linking Mathematical Symbols to their Descriptions	Feb 19, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Domain Adaptation of low-resource Target-Domain models using well-trained ASR Conformer Models	Feb 18, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube	Feb 17, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition	Feb 17, 2022	Adversarial RobustnessAutomatic Speech Recognition	—Unverified	0
AISHELL-NER: Named Entity Recognition from Chinese Speech	Feb 17, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1

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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