Multimodal Signal Processing
：Theory and Applications for Human-Computer Interaction
Publication subTitle ：Theory and Applications for Human-Computer Interaction
Author： Thiran Jean-Philippe;Marqués Ferran;Bourlard Hervé
Publisher： Elsevier Science
Publication year： 2009
E-ISBN: 9780080888699
P-ISBN(Paperback): 9780123748256
P-ISBN(Hardback): 9780123748256
Subject： TP39 computer application
Language： ENG
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Description
Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities – speech, vision, language, text – which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges that must be overcome to develop efficient and user-friendly multimodal interactive systems.
With contributions from the leading experts in the field, the present book should serve as a reference in multimodal signal processing for signal processing researchers, graduate students, R&D engineers, and computer engineers who are interested in this emerging field.
- Presents state-of-art methods for multimodal signal processing, analysis, and modeling
- Contains numerous examples of systems with different modalities combined
- Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes.
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