Machine Learning for Multimodal Interaction: 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Pap by Andrei Popescu-belisMachine Learning for Multimodal Interaction: 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Pap by Andrei Popescu-belis

Machine Learning for Multimodal Interaction: 4th International Workshop, MLMI 2007, Brno, Czech…

byAndrei Popescu-belisEditorSteve Renals, Herv Bourlard

Hardcover | February 26, 2008

Pricing and Purchase Info

$100.21 online 
$117.50 list price save 14%
Earn 501 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

This book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI 2007), which took place in Brno, Czech Republic, during June 28-30, 2007. As in the previous editions of the MLMI series, the 26 chapters of this book cover a large area of topics, from multimodal processing and human-computer interaction to video, audio, speech and language processing. The application of machine learning techniques to problems arising in these ?elds and the design and analysis of software s- portingmultimodalhuman-humanandhuman-computerinteractionarethetwo overarching themes of this post-workshop book. The MLMI 2007 workshop featured 18 oral presentations-two invited talks, 14 regular talks and two special session talks-and 42 poster presentations. The participants were not only related to the sponsoring projects, AMI/AMIDA (http://www.amiproject.org) and IM2 (http://www.im2.ch), but also to other largeresearchprojects onmultimodalprocessingand multimedia browsing,such as CALO and CHIL. Local universities were well represented, as well as other European, US and Japanese universities, research institutions and private c- panies, from a dozen countries overall.
Title:Machine Learning for Multimodal Interaction: 4th International Workshop, MLMI 2007, Brno, Czech…Format:HardcoverDimensions:308 pages, 23.5 × 15.5 × 0.02 inPublished:February 26, 2008Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540781544

ISBN - 13:9783540781547

Look for similar items by category:

Reviews

Table of Contents

Invited Paper.- Robust Real Time Face Tracking for the Analysis of Human Behaviour.- Multimodal Processing.- Conditional Sequence Model for Context-Based Recognition of Gaze Aversion.- Meeting State Recognition from Visual and Aural Labels.- Object Category Recognition Using Probabilistic Fusion of Speech and Image Classifiers.- HCI, User Studies and Applications.- Automatic Annotation of Dialogue Structure from Simple User Interaction.- Interactive Pattern Recognition.- User Specific Training of a Music Search Engine.- An Ego-Centric and Tangible Approach to Meeting Indexing and Browsing.- Integrating Semantics into Multimodal Interaction Patterns.- Towards an Objective Test for Meeting Browsers: The BET4TQB Pilot Experiment.- Image and Video Processing.- Face Recognition in Smart Rooms.- Gaussian Process Latent Variable Models for Human Pose Estimation.- Discourse and Dialogue Processing.- Automatic Labeling Inconsistencies Detection and Correction for Sentence Unit Segmentation in Conversational Speech.- Term-Weighting for Summarization of Multi-party Spoken Dialogues.- Automatic Decision Detection in Meeting Speech.- Czech Text-to-Sign Speech Synthesizer.- Speech and Audio Processing.- Using Prosodic Features in Language Models for Meetings.- Posterior-Based Features and Distances in Template Matching for Speech Recognition.- A Study of Phoneme and Grapheme Based Context-Dependent ASR Systems.- Transfer Learning for Tandem ASR Feature Extraction.- Spoken Term Detection System Based on Combination of LVCSR and Phonetic Search.- Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding.- Modeling Vocal Interaction for Segmentation in Meeting Recognition.- Binaural Speech Separation Using Recurrent Timing Neural Networks for Joint F0-Localisation Estimation.- PASCAL Speech Separation Challenge II.- To Separate Speech.- Microphone Array Beamforming Approach to Blind Speech Separation.