Multimodal Signal Processing: Human Interactions in Meetings

doi:10.1017/CBO9781139136310

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Multimodal Signal Processing

Multimodal Signal Processing

Human Interactions in Meetings

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This Book has been cited by the following publications. This list is generated based on data provided by Crossref.

Swietojanski, Pawel Ghoshal, Arnab and Renals, Steve 2013. Hybrid acoustic models for distant and multichannel large vocabulary speech recognition. p. 285.

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Bourlard, Hervé 2014. Multimodal Interactive Systems Management. p. 1.

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2014. Multimodal Interactive Systems Management. p. 347.

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Kim, Samuel Valente, Fabio Filippone, Maurizio and Vinciarelli, Alessandro 2014. Predicting Continuous Conflict Perceptionwith Bayesian Gaussian Processes. IEEE Transactions on Affective Computing, Vol. 5, Issue. 2, p. 187.

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Murray, Gabriel 2014. Advances in Artificial Intelligence. Vol. 8436, Issue. , p. 191.

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Murray, Gabriel 2017. Markov reward models for analyzing group interaction. p. 336.

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Oviatt, Sharon 2022. Handbook of Human Computer Interaction. p. 1.

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Edited by Steve Renals, University of Edinburgh, Hervé Bourlard, Idiap Research Institute, Jean Carletta, University of Edinburgh, Andrei Popescu-Belis, Idiap Research Institute, Martigny, Switzerland

Publisher: Cambridge University Press
Online publication date: July 2012
Print publication year: 2012
Online ISBN: 9781139136310
DOI: https://doi.org/10.1017/CBO9781139136310

Subjects: Communications and Signal Processing, Engineering, Computer Science, Artificial Intelligence and Natural Language Processing

82.99 (GBP)

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Multimodal Signal Processing
Edited by Steve Renals, Hervé Bourlard, Jean Carletta, Andrei Popescu-Belis
Online ISBN: 9781139136310

Book DOI: https://doi.org/10.1017/CBO9781139136310
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Bringing together experts in multimodal signal processing, this book provides a detailed introduction to the area, with a focus on the analysis, recognition and interpretation of human communication. The technology described has powerful applications. For instance, automatic analysis of the outputs of cameras and microphones in a meeting can make sense of what is happening – who spoke, what they said, whether there was an active discussion and who was dominant in it. These analyses are layered to move from basic interpretations of the signals to richer semantic information. The book covers the necessary analyses in a tutorial manner, going from basic ideas to recent research results. It includes chapters on advanced speech processing and computer vision technologies, language understanding, interaction modeling and abstraction, as well as meeting support technology. This guide connects fundamental research with a wide range of prototype applications to support and analyze group interactions in meetings.

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Multimodal Signal Processing

Human Interactions in Meetings

This Book has been cited by the following publications. This list is generated based on data provided by Crossref.

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Contents

Frontmatter
pp i-iv

Contents
pp v-xi

List of contributors
pp xii-xii

1 - Multimodal signal processing for meetings: an introduction
pp 1-10

2 - Data collection
pp 11-27

3 - Microphone arrays and beamforming
pp 28-39

4 - Speaker diarization
pp 40-55

5 - Speech recognition
pp 56-83

6 - Sampling techniques for audio-visual tracking and head pose estimation
pp 84-102

7 - Video processing and recognition
pp 103-124

8 - Language structure
pp 125-154

9 - Multimodal analysis of small-group conversational dynamics
pp 155-169

10 - Summarization
pp 170-192

11 - User requirements for meeting support technology
pp 193-203

12 - Meeting browsers and meeting assistants
pp 204-217

13 - Evaluation of meeting support technology
pp 218-231

14 - Conclusion and perspectives
pp 232-237

References
pp 238-270

Index
pp 271-273

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Multimodal Signal Processing

Human Interactions in Meetings

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