Machine Learning for Multimodal Interaction -

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Résumé :
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.

Sommaire:
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....