Cognitively Inspired Audiovisual Speech Filtering

Towards an Intelligent, Fuzzy Based, Multimodal, Two-Stage Speech Enhancement System

Nonfiction, Computers, Application Software, Multimedia, Computer Graphics, General Computing
Cover of the book Cognitively Inspired Audiovisual Speech Filtering by Andrew Abel, Amir Hussain, Springer International Publishing
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Author: Andrew Abel, Amir Hussain ISBN: 9783319135090
Publisher: Springer International Publishing Publication: August 7, 2015
Imprint: Springer Language: English
Author: Andrew Abel, Amir Hussain
ISBN: 9783319135090
Publisher: Springer International Publishing
Publication: August 7, 2015
Imprint: Springer
Language: English

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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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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