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 1251–1260 of 3012 papers

Title	Date	Tasks	Status
Fast Context-Biasing for CTC and Transducer ASR models with CTC-based Word Spotter	Jun 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility	Sep 29, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fast and Robust Unsupervised Contextual Biasing for Speech Recognition	May 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition	Apr 6, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts	Dec 1, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fast and Accurate OOV Decoder on High-Level Features	Jul 19, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging	Aug 7, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Falling silent, lost for words ... Tracing personal involvement in interviews with Dutch war veterans	May 1, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Calibration of Phone Likelihoods in Automatic Speech Recognition	Jun 14, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition	Dec 22, 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