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 1711–1720 of 3012 papers

Title	Date	Tasks	Status
ASR Rescoring and Confidence Estimation with ELECTRA	Oct 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Is Attention always needed? A Case Study on Language Identification from Speech	Oct 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Building a Noisy Audio Dataset to Evaluate Machine Learning Approaches for Automatic Speech Recognition Systems	Oct 4, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards efficient end-to-end speech recognition with biologically-inspired neural networks	Oct 4, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploiting Pre-Trained ASR Models for Alzheimer's Disease Recognition Through Spontaneous Speech	Oct 4, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning	Oct 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Employing low-pass filtered temporal speech features for the training of ideal ratio mask in speech enhancement	Oct 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring the Integration of E2E ASR and Pronunciation Modeling for English Mispronunciation Detection	Oct 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Chinese Medical Speech Recognition with Punctuated Hypothesis	Oct 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Punctuation Restoration for Speech Transcripts via External Data	Oct 1, 2021	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