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 1431–1440 of 3012 papers

Title	Date	Tasks	Status
Improving Contextual Spelling Correction by External Acoustics Attention and Semantic Aware Data Augmentation	Feb 22, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation	Jun 9, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving CTC-AED model with integrated-CTC and auxiliary loss regularization	Aug 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving CTC-based ASR Models with Gated Interlayer Collaboration	May 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Construction of a Large-scale Japanese ASR Corpus on TV Recordings	Mar 26, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Data Driven Inverse Text Normalization using Data Augmentation	Jul 20, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation	Aug 4, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training	Jan 10, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving EEG based Continuous Speech Recognition	Nov 24, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context	Dec 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 144 of 302Next →

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