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Machine Learning for Multimodal Interaction

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Cover of 'Machine Learning for Multimodal Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 Gesture, Gaze, and Ground
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    Chapter 2 Toward Adaptive Information Fusion in Multimodal Systems
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    Chapter 3 The AMI Meeting Corpus: A Pre-announcement
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    Chapter 4 VACE Multimodal Meeting Corpus
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    Chapter 5 Multimodal Integration for Meeting Group Action Segmentation and Recognition
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    Chapter 6 Detection and Resolution of References to Meeting Documents
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    Chapter 7 Dominance Detection in Meetings Using Easily Obtainable Features
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    Chapter 8 Can Chimeric Persons Be Used in Multimodal Biometric Authentication Experiments?
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    Chapter 9 Analysing Meeting Records: An Ethnographic Study and Technological Implications
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    Chapter 10 Browsing Multimedia Archives Through Intra- and Multimodal Cross-Documents Links
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    Chapter 11 The “FAME” Interactive Space
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    Chapter 12 Development of Peripheral Feedback to Support Lectures
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    Chapter 13 Real-Time Feedback on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings
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    Chapter 14 A Multimodal Discourse Ontology for Meeting Understanding
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    Chapter 15 Generic Dialogue Modeling for Multi-application Dialogue Systems
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    Chapter 16 Toward Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings
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    Chapter 17 Developing a Consistent View on Emotion-Oriented Computing
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    Chapter 18 Multimodal Authoring Tool for Populating a Database of Emotional Reactive Animations
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    Chapter 19 A Testing Methodology for Face Recognition Algorithms
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    Chapter 20 Estimating the Lecturer’s Head Pose in Seminar Scenarios – A Multi-view Approach
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    Chapter 21 Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking
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    Chapter 22 Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding
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    Chapter 23 Least Squares Filtering of Speech Signals for Robust ASR
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    Chapter 24 A Variable-Scale Piecewise Stationary Spectral Analysis Technique Applied to ASR
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    Chapter 25 Accent Classification for Speech Recognition
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    Chapter 26 Hierarchical Multi-stream Posterior Based Speech Recognition System
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    Chapter 27 Variational Bayesian Methods for Audio Indexing
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    Chapter 28 Microphone Array Driven Speech Recognition: Influence of Localization on the Word Error Rate
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    Chapter 29 Automatic Speech Recognition and Speech Activity Detection in the CHIL Smart Room
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    Chapter 30 The Development of the AMI System for the Transcription of Speech in Meetings
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    Chapter 31 Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integral
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    Chapter 32 The Rich Transcription 2005 Spring Meeting Recognition Evaluation
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    Chapter 33 Linguistic Resources for Meeting Speech Recognition
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    Chapter 34 Robust Speaker Segmentation for Meetings: The ICSI-SRI Spring 2005 Diarization System
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    Chapter 35 Speech Activity Detection on Multichannels of Meeting Recordings
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    Chapter 36 NIST RT’05S Evaluation: Pre-processing Techniques and Speaker Diarization on Multiple Microphone Meetings
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    Chapter 37 The TNO Speaker Diarization System for NIST RT05s Meeting Data
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    Chapter 38 The 2005 AMI System for the Transcription of Speech in Meetings
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    Chapter 39 Further Progress in Meeting Recognition: The ICSI-SRI Spring 2005 Speech-to-Text Evaluation System
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    Chapter 40 Speaker Localization in CHIL Lectures: Evaluation Criteria and Results
Attention for Chapter 37: The TNO Speaker Diarization System for NIST RT05s Meeting Data
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Chapter title
The TNO Speaker Diarization System for NIST RT05s Meeting Data
Chapter number 37
Book title
Machine Learning for Multimodal Interaction
Published by
Springer, Berlin, Heidelberg, July 2005
DOI 10.1007/11677482_37
Book ISBNs
978-3-54-032549-9, 978-3-54-032550-5
Authors

David A. van Leeuwen

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 57%
Researcher 2 29%
Student > Bachelor 1 14%
Readers by discipline Count As %
Computer Science 4 57%
Engineering 2 29%
Nursing and Health Professions 1 14%