Multimodal Signal Processing

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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  • Author : Jean-Philippe Thiran
  • Publisher : Academic Press
  • Pages : 352 pages
  • ISBN : 9780080888699
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMultimodal Signal Processing

Multimodal Signal Processing

Multimodal Signal Processing
  • Author : Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
  • Publisher : Academic Press
  • Release : 11 November 2009
GET THIS BOOKMultimodal Signal Processing

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

Multimodal Signal Processing

Multimodal Signal Processing
  • Author : Steve Renals,Hervé Bourlard,Jean Carletta
  • Publisher : Cambridge University Press
  • Release : 07 June 2012
GET THIS BOOKMultimodal Signal Processing

A comprehensive synthesis of recent advances in multimodal signal processing applications for human interaction analysis and meeting support technology. With directly applicable methods and metrics along with benchmark results, this guide is ideal for those interested in multimodal signal processing, its component disciplines and its application to human interaction analysis.

The Handbook of Multimodal-Multisensor Interfaces, Volume 2

The Handbook of Multimodal-Multisensor Interfaces, Volume 2
  • Author : Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos,Antonio Krüger
  • Publisher : Morgan & Claypool
  • Release : 08 October 2018
GET THIS BOOKThe Handbook of Multimodal-Multisensor Interfaces, Volume 2

The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces: user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces that often include biosignals. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This second volume of the handbook begins with

Intelligent Multi-Modal Data Processing

Intelligent Multi-Modal Data Processing
  • Author : Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya
  • Publisher : John Wiley & Sons
  • Release : 08 April 2021
GET THIS BOOKIntelligent Multi-Modal Data Processing

A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how

The Handbook of Multimodal-Multisensor Interfaces, Volume 1

The Handbook of Multimodal-Multisensor Interfaces, Volume 1
  • Author : Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos
  • Publisher : Morgan & Claypool
  • Release : 01 June 2017
GET THIS BOOKThe Handbook of Multimodal-Multisensor Interfaces, Volume 1

The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces— user input involving new media (speech, multi-touch, gestures, writing) embedded in multimodal-multisensor interfaces. These interfaces support smart phones, wearables, in-vehicle and robotic applications, and many other areas that are now highly competitive commercially. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this

Multimodal Behavior Analysis in the Wild

Multimodal Behavior Analysis in the Wild
  • Author : Xavier Alameda-Pineda,Elisa Ricci,Nicu Sebe
  • Publisher : Academic Press
  • Release : 13 November 2018
GET THIS BOOKMultimodal Behavior Analysis in the Wild

Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of- the-art in behavioral signal processing using different data modalities, with a special focus on identifying the strengths and limitations of current technologies. The book focuses on audio and video modalities, while also emphasizing emerging modalities, such as accelerometer or proximity data. It covers tasks at different levels of complexity, from low level (speaker detection, sensorimotor links, source separation), through middle level (conversational group detection, addresser and addressee identification),

Social Signal Processing

Social Signal Processing
  • Author : Judee K. Burgoon,Nadia Magnenat-Thalmann,Maja Pantic,Alessandro Vinciarelli
  • Publisher : Cambridge University Press
  • Release : 08 May 2017
GET THIS BOOKSocial Signal Processing

This book provides comprehensive, authoritative surveys covering the modeling, automatic detection, analysis, and synthesis of nonverbal social signals.

Sensory Ecology, Behaviour, and Evolution

Sensory Ecology, Behaviour, and Evolution
  • Author : Martin Stevens
  • Publisher : Oxford University Press
  • Release : 07 February 2013
GET THIS BOOKSensory Ecology, Behaviour, and Evolution

This is the first modern textbook of sensory ecology in two decades, one of the most popular and rapidly growing subjects in biology. The topic deals with how animals capture (and send) information from their environment, and the sensory systems involved. It investigates the type of information that is gathered by animals, how it is used in a range of behaviours, and the evolution of such traits. Sensory ecology deals with both mechanistic questions (e.g. howsensory receptors capture information

Conflict and Multimodal Communication

Conflict and Multimodal Communication
  • Author : Francesca D'Errico,Isabella Poggi,Alessandro Vinciarelli,Laura Vincze
  • Publisher : Springer
  • Release : 17 March 2015
GET THIS BOOKConflict and Multimodal Communication

This book explores the use of technology to detect, predict and understand social cues, in order to analyze and prevent conflict. Traditional human sciences approaches are enriched with the latest developments in Social Signal Processing aimed at an automatic understanding of conflict and negotiation. Communication—both verbal and non-verbal, within the context of a conflict—is studied with the aim of promoting the use of intelligent machines that automatically measure and understand the escalation of conflict, and are able to

Signal Processing and Machine Learning for Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data
  • Author : Ervin Sejdic,Tiago H. Falk
  • Publisher : CRC Press
  • Release : 04 July 2018
GET THIS BOOKSignal Processing and Machine Learning for Biomedical Big Data

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give

Deep Learning

Deep Learning
  • Author : Li Deng,Dong Yu
  • Publisher : Unknown Publisher
  • Release : 29 June 2022
GET THIS BOOKDeep Learning

Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Multi-Modal Signal Processing

Multi-Modal Signal Processing
  • Author : Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
  • Publisher : Unknown Publisher
  • Release : 29 June 2022
GET THIS BOOKMulti-Modal Signal Processing

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

Robust Multimodal Cognitive Load Measurement

Robust Multimodal Cognitive Load Measurement
  • Author : Fang Chen,Jianlong Zhou,Yang Wang,Kun Yu,Syed Z. Arshad,Ahmad Khawaji,Dan Conway
  • Publisher : Springer
  • Release : 14 June 2016
GET THIS BOOKRobust Multimodal Cognitive Load Measurement

This book explores robust multimodal cognitive load measurement with physiological and behavioural modalities, which involve the eye, Galvanic Skin Response, speech, language, pen input, mouse movement and multimodality fusions. Factors including stress, trust, and environmental factors such as illumination are discussed regarding their implications for cognitive load measurement. Furthermore, dynamic workload adjustment and real-time cognitive load measurement with data streaming are presented in order to make cognitive load measurement accessible by more widespread applications and users. Finally, application examples are

Multimodal Signal Processing

Multimodal Signal Processing
  • Author : Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
  • Publisher : Academic Press
  • Release : 01 December 2009
GET THIS BOOKMultimodal Signal Processing

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

Bioengineering and Biomedical Signal and Image Processing

Bioengineering and Biomedical Signal and Image Processing
  • Author : Ignacio Rojas,Daniel Castillo-Secilla,Luis Javier Herrera,Héctor Pomares
  • Publisher : Springer Nature
  • Release : 08 October 2021
GET THIS BOOKBioengineering and Biomedical Signal and Image Processing

This book constitutes the refereed proceedings of the First International Conference on Bioengineering and Biomedical Signal and Image Processing, BIOMESIP 2021, held in Meloneras, Gran Canaria, Spain, in July 2021. The 41 full and 5 short papers were carefully reviewed and selected from 121 submissions. The papers are grouped in topical issues on biomedical applications in molecular, structural, and functional imaging; biomedical computing; biomedical signal measurement, acquisition and processing; computerized medical imaging and graphics; disease control and diagnosis; neuroimaging; pattern recognition and machine learning for