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Multimodal Signal Processing

Multimodal Signal Processing
  • Author : Jean-Philippe Thiran
  • Publsiher : Academic Press
  • Release : 11 November 2009
  • ISBN : 9780080888699
  • Pages : 352 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKMultimodal Signal Processing

Summary:
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.


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

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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

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Multi-Modal Signal Processing

Multi-Modal Signal Processing
  • Author : Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
  • Publisher : Anonim
  • Release : 17 October 2021
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

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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.

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Multimodal Signal Processing

Multimodal Signal Processing
  • Author : Anonim
  • Publisher : Anonim
  • Release : 17 October 2021
GET THIS BOOKMultimodal Signal Processing

"This book is an introduction to multimodal signal processing. In it, we use the goal of building applications that can understand meetings as a way to focus and motivate the processing we describe. Multimodal signal processing takes the outputs of capture devices running at the same time - primarily cameras and microphones, but also electronic whiteboards and pens - and automatically analyses them to make sense of what is happening in the space being recorded. For instance, these analyses might

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Intelligent Multi-Modal Data Processing

Intelligent Multi-Modal Data Processing
  • Author : Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya
  • Publisher : John Wiley & Sons
  • Release : 06 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

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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

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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

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Multimodal Signals: Cognitive and Algorithmic Issues

Multimodal Signals: Cognitive and Algorithmic Issues
  • Author : Anna Esposito,Amir Hussain,Maria Marinaro,Raffaele Martone
  • Publisher : Springer Science & Business Media
  • Release : 27 February 2009
GET THIS BOOKMultimodal Signals: Cognitive and Algorithmic Issues

This volume brings together the peer-reviewed contributions of the participants at the COST 2102 and euCognition International Training School on “Multimodal Signals: C- nitive and Algorithmic Issues” held in Vietri sul Mare, Salerno, Italy, April 22 –26, 2008. The school was sponsored by COST (European Cooperation in the Field of Scientific and Technical Research, www.cost.esf.org) in the domain of Information and Communi- tion Technologies (ICT) for disseminating the advances of the research activities developed within Action 2102: “Cross-Modal Analysis of Verbal and

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Multimodal User Interfaces

Multimodal User Interfaces
  • Author : Dimitros Tzovaras
  • Publisher : Springer Science & Business Media
  • Release : 27 February 2008
GET THIS BOOKMultimodal User Interfaces

tionship indicates how multimodal medical image processing can be unified to a large extent, e. g. multi-channel segmentation and image registration, and extend information theoretic registration to other features than image intensities. The framework is not at all restricted to medical images though and this is illustrated by applying it to multimedia sequences as well. In Chapter 4, the main results from the developments in plastic UIs and mul- modal UIs are brought together using a theoretic and conceptual perspective as

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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),

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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

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Autism Imaging and Devices

Autism Imaging and Devices
  • Author : Manuel F. Casanova,Ayman El-Baz,Jasjit S. Suri
  • Publisher : CRC Press
  • Release : 06 January 2017
GET THIS BOOKAutism Imaging and Devices

This book covers state-of-the-art medical image analysis approaches currently pursued in autism research. Chapters cover recent advances in diagnosis using structural neuroimaging. All aspects of imaging are included, such as electrophysiology (EEG, ERP, QEEG, and MEG), postmortem techniques, and advantages and difficulties of depositing/acquiring images in larger databases. The book incorporates 2D, 3D, and 4D imaging and advances scientific research within the broad field of autism imaging.

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