Multimodal Signal Processing: Theory and Applications for Human-Computer Interaction (Eurasip and Academic Press Series in Signal and Image Processing)

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9780123748256: Multimodal Signal Processing: Theory and Applications for Human-Computer Interaction (Eurasip and Academic Press Series in Signal and Image 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 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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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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Book Description Elsevier Science Publishing Co Inc, United States, 2010. Hardback. Book Condition: New. 236 x 155 mm. Language: English . Brand New Book. 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, RD engineers, and computer engineers who are interested in this emerging field. Bookseller Inventory # AA59780123748256

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Published by Elsevier Science Publishing Co Inc, United States (2010)
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Book Description Elsevier Science Publishing Co Inc, United States, 2010. Hardback. Book Condition: New. 236 x 155 mm. Language: English . Brand New Book. 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, RD engineers, and computer engineers who are interested in this emerging field. Bookseller Inventory # AA59780123748256

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