Abstract

This chapter provides an introduction to the book Multimodal Signal Processing. A multimodal system can be defined as the one that supports communication through different modalities or types of communication channels. In general, multimodal systems are also considered to use concurrent processing and to perform fusion of multiple, possibly asynchronous, input streams. For example, a framework for multimodal human–computer interfaces can be described as using a combination of modes, channels, media, and styles. Although multimodality has been discussed in research and science for several years, the computer science community is however, just beginning to understand how to design well-integrated and robust multimodal systems. The proposed area of study is vast, covering disciplines such as computer science, engineering, linguistics, cognitive sciences, human–computer interfaces, and psychology. This book is thus a survey of the state of the art in a large area of topics, from video, speech, and language processing to multimodal signal processing, human–computer interaction (HCI) and human–human interaction modeling. The applications of signal processing and statistical machine learning techniques to problems arising in these fields are the two major themes of the book.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.