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OverviewThis 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. Full Product DetailsAuthor: Andrew Abel , Amir HussainPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2015 Volume: 5 Dimensions: Width: 15.50cm , Height: 0.80cm , Length: 23.50cm Weight: 2.488kg ISBN: 9783319135083ISBN 10: 3319135082 Pages: 121 Publication Date: 19 August 2015 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- 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.Reviews
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