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E-RESOURCE
Author Abel, Andrew, author.

Title Cognitively inspired audiovisual speech filtering : towards an intelligent, fuzzy based, multimodal, two-stage speech enhancement system / Andrew Abel, Amir Hussain.

Published Cham : Springer, 2015.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (xviii, 115 pages) : illustrations (some color).
Series SpringerBriefs in cognitive computation, 2212-6023
SpringerBriefs in cognitive computation.
Springer English/International eBooks 2015 - Full Set
Bibliography Includes bibliographical references and index.
Contents 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.
Summary 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.℗ℓA number of audiovisual speech filtering approaches that make use of this relationship are also discussed.℗ℓA 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.℗ℓThis 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.
Other author Hussain, A. (Amir), author.
SpringerLink issuing body.
Subject Speech processing systems.
Fuzzy logic.
Electronic books.
ISBN 9783319135090
3319135090
9783319135083
3319135082 (print)
9783319135083 (print)
Standard Number 10.1007/978-3-319-13509-0