Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation

10.1186/s13634-015-0300-4

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Bibliographic Details
Main Authors:	Xiao, X, Zhao, S, Ha Nguyen, D.H, Zhong, X, Jones, D.L, Chng, E.S, Li, H
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Article
Published:	2020
Subjects:	Beamforming Cost functions Mapping Mathematical transformations Reverberation Signal to noise ratio Speech Speech enhancement Automatic speech recognition Deep neural networks Dynamic features Feature adaptation Least square estimation Log likelihood ratio Robust speech recognition Speech dereverberation Speech recognition
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/183307
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-183307
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spelling	sg-nus-scholar.10635-1833072024-04-25T03:37:22Z Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation Xiao, X Zhao, S Ha Nguyen, D.H Zhong, X Jones, D.L Chng, E.S Li, H ELECTRICAL AND COMPUTER ENGINEERING Beamforming Cost functions Mapping Mathematical transformations Reverberation Signal to noise ratio Speech Speech enhancement Automatic speech recognition Deep neural networks Dynamic features Feature adaptation Least square estimation Log likelihood ratio Robust speech recognition Speech dereverberation Speech recognition 10.1186/s13634-015-0300-4 Eurasip Journal on Advances in Signal Processing 2016 1 1-18 2020-11-10T07:51:24Z 2020-11-10T07:51:24Z 2016 Article Xiao, X, Zhao, S, Ha Nguyen, D.H, Zhong, X, Jones, D.L, Chng, E.S, Li, H (2016). Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation. Eurasip Journal on Advances in Signal Processing 2016 (1) : 1-18. ScholarBank@NUS Repository. https://doi.org/10.1186/s13634-015-0300-4 16876172 https://scholarbank.nus.edu.sg/handle/10635/183307 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Beamforming Cost functions Mapping Mathematical transformations Reverberation Signal to noise ratio Speech Speech enhancement Automatic speech recognition Deep neural networks Dynamic features Feature adaptation Least square estimation Log likelihood ratio Robust speech recognition Speech dereverberation Speech recognition
spellingShingle	Beamforming Cost functions Mapping Mathematical transformations Reverberation Signal to noise ratio Speech Speech enhancement Automatic speech recognition Deep neural networks Dynamic features Feature adaptation Least square estimation Log likelihood ratio Robust speech recognition Speech dereverberation Speech recognition Xiao, X Zhao, S Ha Nguyen, D.H Zhong, X Jones, D.L Chng, E.S Li, H Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
description	10.1186/s13634-015-0300-4
author2	ELECTRICAL AND COMPUTER ENGINEERING
author_facet	ELECTRICAL AND COMPUTER ENGINEERING Xiao, X Zhao, S Ha Nguyen, D.H Zhong, X Jones, D.L Chng, E.S Li, H
format	Article
author	Xiao, X Zhao, S Ha Nguyen, D.H Zhong, X Jones, D.L Chng, E.S Li, H
author_sort	Xiao, X
title	Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
title_short	Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
title_full	Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
title_fullStr	Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
title_full_unstemmed	Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
title_sort	speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/183307
_version_	1800914688816447488

Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation

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