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Cognitively inspired audiovisual spe...
~
Abel, Andrew.
Cognitively inspired audiovisual speech filtering = towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Cognitively inspired audiovisual speech filtering/ by Andrew Abel, Amir Hussain.
Reminder of title:
towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system /
Author:
Abel, Andrew.
other author:
Hussain, A.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
xviii, 121 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Speech processing systems. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-13509-0
ISBN:
9783319135090
Cognitively inspired audiovisual speech filtering = towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system /
Abel, Andrew.
Cognitively inspired audiovisual speech filtering
towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system /[electronic resource] :by Andrew Abel, Amir Hussain. - Cham :Springer International Publishing :2015. - xviii, 121 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in cognitive computation,52212-6023 ;. - SpringerBriefs in cognitive computation ;2..
Introduction -- Audio and visual speech relationship -- The research context -- 4 A two stage multimodal speech enhancement system -- Experiments, results, and analysis -- Towards fuzzy logic based multimodal speech filtering -- Evaluation of fuzzy logic proof of concept -- Conclusions and future work.
This book presents a summary of the cognitively inspired basis behind multimodal speech enhancement, covering the relationship between audio and visual modalities in speech, as well as recent research into audiovisual speech correlation. A number of audiovisual speech filtering approaches that make use of this relationship are also discussed. A novel multimodal speech enhancement system, making use of both visual and audio information to filter speech, is presented, and this book explores the extension of this system with the use of fuzzy logic to demonstrate an initial implementation of an autonomous, adaptive, and context aware multimodal system. This work also discusses the challenges presented with regard to testing such a system, the limitations with many current audiovisual speech corpora, and discusses a suitable approach towards development of a corpus designed to test this novel, cognitively inspired, speech filtering system.
ISBN: 9783319135090
Standard No.: 10.1007/978-3-319-13509-0doiSubjects--Topical Terms:
564428
Speech processing systems.
LC Class. No.: TK7882.S65
Dewey Class. No.: 006.454
Cognitively inspired audiovisual speech filtering = towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system /
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towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system /
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Introduction -- Audio and visual speech relationship -- The research context -- 4 A two stage multimodal speech enhancement system -- Experiments, results, and analysis -- Towards fuzzy logic based multimodal speech filtering -- Evaluation of fuzzy logic proof of concept -- Conclusions and future work.
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This book presents a summary of the cognitively inspired basis behind multimodal speech enhancement, covering the relationship between audio and visual modalities in speech, as well as recent research into audiovisual speech correlation. A number of audiovisual speech filtering approaches that make use of this relationship are also discussed. A novel multimodal speech enhancement system, making use of both visual and audio information to filter speech, is presented, and this book explores the extension of this system with the use of fuzzy logic to demonstrate an initial implementation of an autonomous, adaptive, and context aware multimodal system. This work also discusses the challenges presented with regard to testing such a system, the limitations with many current audiovisual speech corpora, and discusses a suitable approach towards development of a corpus designed to test this novel, cognitively inspired, speech filtering system.
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Biomedical and Life Sciences (Springer-11642)
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