Edited by
Jean-Philippe Thiran, EPFL, Lausanne, Switzerland
Ferran Marqués, Technical University of Catalonia, Spain
Hervé Bourlard, Director, IDIAP Research Institute, EPFL, Lausanne, Switzerland
Description
- 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.
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.
Audience:
Signal, acoustic, speech, image and video processing university (applied) researchers, R&D engineers, computer engineers
