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Cognitively Inspired Audiovisual Speech Filtering

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

  • Book
  • © 2015

Overview

Authors:
  1. Andrew Abel

    1. Computing Science and Mathematics, University of Stirling, Stirling, EU

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  2. Amir Hussain

    1. Computing Science and Mathematics, University of Stirling, Stirling, EU

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    You can also search for this author in PubMed   Google Scholar

  • State-of-the-art summary of multimodal speech filtering literature
  • Novel interdisciplinary cognitive inspiration in audio and visual aspects of speech
  • A novel approach to combining audio and visual speech filtering for real-world applications

Part of the book series: SpringerBriefs in Cognitive Computation (BRIEFSCC, volume 5)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Introduction

    • Andrew Abel, Amir Hussain
    Pages 1-4

  3. Audio and Visual Speech Relationship

    • Andrew Abel, Amir Hussain
    Pages 5-12

  4. The Research Context

    • Andrew Abel, Amir Hussain
    Pages 13-34

  5. A Two Stage Multimodal Speech Enhancement System

    • Andrew Abel, Amir Hussain
    Pages 35-51

  6. Experiments, Results, and Analysis

    • Andrew Abel, Amir Hussain
    Pages 53-73

  7. Towards Fuzzy Logic Based Multimodal Speech Filtering

    • Andrew Abel, Amir Hussain
    Pages 75-90

  8. Evaluation of Fuzzy Logic Proof of Concept

    • Andrew Abel, Amir Hussain
    Pages 91-110

  9. Potential Future Research Directions

    • Andrew Abel, Amir Hussain
    Pages 111-114

  10. Back Matter

    Pages 115-121
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Keywords

About this book

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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Authors and Affiliations

  • Computing Science and Mathematics, University of Stirling, Stirling, EU

    Andrew Abel, Amir Hussain

About the authors

                                                                                                                         

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