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Machine Learning for Multimodal Interaction

Overview of attention for book
Cover of 'Machine Learning for Multimodal Interaction'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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 3: The AMI Meeting Corpus: A Pre-announcement
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

2 tweeters


1 Dimensions

Readers on

97 Mendeley
2 CiteULike
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Chapter title
The AMI Meeting Corpus: A Pre-announcement
Chapter number 3
Book title
Machine Learning for Multimodal Interaction
Published in
Lecture notes in computer science, July 2005
DOI 10.1007/11677482_3
Book ISBNs
978-3-54-032549-9, 978-3-54-032550-5

Carletta, Jean, Ashby, Simone, Bourban, Sebastien, Flynn, Mike, Guillemot, Mael, Hain, Thomas, Kadlec, Jaroslav, Karaiskos, Vasilis, Kraaij, Wessel, Kronenthal, Melissa, Lathoud, Guillaume, Lincoln, Mike, Lisowska, Agnes, McCowan, Iain, Post, Wilfried, Reidsma, Dennis, Wellner, Pierre, Jean Carletta, Simone Ashby, Sebastien Bourban, Mike Flynn, Mael Guillemot, Thomas Hain, Jaroslav Kadlec, Vasilis Karaiskos, Wessel Kraaij, Melissa Kronenthal, Guillaume Lathoud, Mike Lincoln, Agnes Lisowska, Iain McCowan, Wilfried Post, Dennis Reidsma, Pierre Wellner


Steve Renals, Samy Bengio

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 5%
Germany 2 2%
Singapore 1 1%
Australia 1 1%
Belgium 1 1%
Spain 1 1%
United States 1 1%
Unknown 85 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 36%
Researcher 17 18%
Student > Master 12 12%
Professor > Associate Professor 10 10%
Student > Postgraduate 5 5%
Other 10 10%
Unknown 8 8%
Readers by discipline Count As %
Computer Science 61 63%
Engineering 15 15%
Linguistics 7 7%
Business, Management and Accounting 2 2%
Decision Sciences 1 1%
Other 1 1%
Unknown 10 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 February 2019.
All research outputs
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Outputs from Lecture notes in computer science
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 17,361,274 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 375,109 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 1,137 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.