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Authors: Islem Jarraya ; Salah Werda and Walid Mahdi

Affiliation: University of Sfax, Tunisia

Keyword(s): Lip Localization, Geometric Lip Model, Lip Tracking, Lip Descriptors Extraction, Viseme Classification and Recognition.

Related Ontology Subjects/Areas/Topics: Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Telecommunications

Abstract: The automatic lip-reading is a technology which helps understanding messages exchanged in the case of a noisy environment or of elderly hearing impairment. To carry out this system, we need to implement three subsystems. There is a locating and tracking lips system, labial descriptors extraction system and a classification and speech recognition system. In this work, we present a spatio-temporal approach to track and characterize lip movements for the automatic recognition of visemes of the French language. First, we segment lips using the color information and a geometric model of lips. Then, we apply a particle filter to track lip movements. Finally, we propose to extract and classify the visual informations to recognize the pronounced viseme. This approach is applied with multiple speakers in natural conditions.

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Paper citation in several formats:
Jarraya, I.; Werda, S. and Mahdi, W. (2014). Lip Tracking Using Particle Filter and Geometric Model for Visual Speech Recognition. In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP; ISBN 978-989-758-046-8, SciTePress, pages 172-179. DOI: 10.5220/0005045601720179

@conference{sigmap14,
author={Islem Jarraya. and Salah Werda. and Walid Mahdi.},
title={Lip Tracking Using Particle Filter and Geometric Model for Visual Speech Recognition},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP},
year={2014},
pages={172-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005045601720179},
isbn={978-989-758-046-8},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP
TI - Lip Tracking Using Particle Filter and Geometric Model for Visual Speech Recognition
SN - 978-989-758-046-8
AU - Jarraya, I.
AU - Werda, S.
AU - Mahdi, W.
PY - 2014
SP - 172
EP - 179
DO - 10.5220/0005045601720179
PB - SciTePress