Multimodal Signal Processing

• Presents state-of-the-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 modeling of multimodal human-human communication scenes.

Multimodal signal processing is an important research and development project, which can improve the understanding, model, text, and performance of human-computer interaction systems or systems enhancing human -human communication. The overarching theme of this book is a multi-disciplinary field. It multifunctional interactive systems.

With emerging experts, who are interested in R & D engineers, and computer engineers who are interested in this field.

• Presents state-of-the-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 modeling of multimodal human-human communication scenes.

Introduction; Statistical Machine Learning for HCI; Speech Processing; Natural Language and Dialogue Processing; Image and Video Processing Tools for HCI; Processing of Handwriting and Sketching Dynamics; Basic Concepts of Multimodal Analysis; Multimodal Information Fusion; Modality Integration Methods; A Multimodal Recognition Framework for Joint Modality Compensation and Fusion; Managing Multimodal Data, Metadata and Annotations: Challenges and Solutions; Multimodal Input; Multimodal HCI Output: Facial Motion, Gestures and Synthesized Speech Synchronization; Interactive Representations of Multimodal Databases; Modeling Interest in Face-to-Face Conversations from Multimodal Nonverbal Behavior