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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 Visual Focus of Attention in Dynamic Meeting Scenarios
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    Chapter 2 Fast and Robust Face Tracking for Analyzing Multiparty Face-to-Face Meetings
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    Chapter 3 What Does the Face-Turning Action Imply in Consensus Building Communication?
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    Chapter 4 Distinguishing the Communicative Functions of Gestures
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    Chapter 5 Optimised Meeting Recording and Annotation Using Real-Time Video Analysis
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    Chapter 6 Ambiguity Modeling in Latent Spaces
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    Chapter 7 Inclusion of Video Information for Detection of Acoustic Events Using the Fuzzy Integral
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    Chapter 8 Audio-Visual Clustering for 3D Speaker Localization
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    Chapter 9 A Hybrid Generative-Discriminative Approach to Speaker Diarization
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    Chapter 10 A Neural Network Based Regression Approach for Recognizing Simultaneous Speech
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    Chapter 11 Hilbert Envelope Based Features for Far-Field Speech Recognition
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    Chapter 12 Multimodal Unit Selection for 2D Audiovisual Text-to-Speech Synthesis
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    Chapter 13 Decision-Level Fusion for Audio-Visual Laughter Detection
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    Chapter 14 Detection of Laughter-in-Interaction in Multichannel Close-Talk Microphone Recordings of Meetings
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    Chapter 15 Automatic Recognition of Spontaneous Emotions in Speech Using Acoustic and Lexical Features
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    Chapter 16 Daily Routine Classification from Mobile Phone Data
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    Chapter 17 Hybrid Multi-step Disfluency Detection
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    Chapter 18 Exploring Features and Classifiers for Dialogue Act Segmentation
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    Chapter 19 Detecting Action Items in Meetings
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    Chapter 20 Machine Learning for Multimodal Interaction
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    Chapter 21 Machine Learning for Multimodal Interaction
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    Chapter 22 Meta Comments for Summarizing Meeting Speech
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    Chapter 23 A Generic Layout-Tool for Summaries of Meetings in a Constraint-Based Approach
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    Chapter 24 A Probabilistic Model for User Relevance Feedback on Image Retrieval
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    Chapter 25 The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings
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    Chapter 26 Introducing Additional Input Information into Interactive Machine Translation Systems
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    Chapter 27 Computer Assisted Transcription of Text Images and Multimodal Interaction
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    Chapter 28 Designing and Evaluating Meeting Assistants, Keeping Humans in Mind
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    Chapter 29 Making Remote ‘Meeting Hopping’ Work: Assistance to Initiate, Join and Leave Meetings
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    Chapter 30 Physicality and Cooperative Design
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    Chapter 31 Developing and Evaluating a Meeting Assistant Test Bed
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    Chapter 32 Extrinsic Summarization Evaluation: A Decision Audit Task
Attention for Chapter 14: Detection of Laughter-in-Interaction in Multichannel Close-Talk Microphone Recordings of Meetings
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Chapter title
Detection of Laughter-in-Interaction in Multichannel Close-Talk Microphone Recordings of Meetings
Chapter number 14
Book title
Machine Learning for Multimodal Interaction
Published by
Springer, Berlin, Heidelberg, September 2008
DOI 10.1007/978-3-540-85853-9_14
Book ISBNs
978-3-54-085852-2, 978-3-54-085853-9
Authors

Kornel Laskowski, Tanja Schultz, Laskowski, Kornel, Schultz, Tanja

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 167%
Researcher 6 100%
Lecturer 2 33%
Professor > Associate Professor 2 33%
Student > Master 1 17%
Other 1 17%
Readers by discipline Count As %
Computer Science 11 183%
Engineering 4 67%
Psychology 3 50%
Agricultural and Biological Sciences 1 17%
Social Sciences 1 17%
Other 1 17%