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 1231–1240 of 3012 papers

Title	Date	Tasks	Status
Adversarial Speaker Adaptation	Apr 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition	Sep 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition	Oct 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text	Oct 12, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin	Nov 21, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fast Context-Biasing for CTC and Transducer ASR models with CTC-based Word Spotter	Jun 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On Architectures and Training for Raw Waveform Feature Extraction in ASR	Apr 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Feature selection using Fisher's ratio technique for automatic speech recognition	May 13, 2015	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

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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