Cognitively Inspired Audiovisual Speech Filtering
Towards an Intelligent, Fuzzy Based, Multimodal, Two-Stage Speech Enhancement System
(Sprache: Englisch)
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...
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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.
Inhaltsverzeichnis zu „Cognitively Inspired Audiovisual Speech Filtering “
1 Introduction2 Audio and Visual Speech Relationship
3 The Research Context
4 A Two Stage Multimodal Speech Enhancement System
5 Experiments, Results, and Analysis
6 Towards Fuzzy Logic Based Multimodal Speech Filtering
7 Evaluation of Fuzzy Logic Proof of Concept
8 Porential Future Research Directions
- References
- Index
Bibliographische Angaben
- Autoren: Andrew Abel , Amir Hussain
- 2015, 1st ed. 2015, XVIII, 121 Seiten, 37 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319135082
- ISBN-13: 9783319135083
- Erscheinungsdatum: 19.08.2015
Sprache:
Englisch
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