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Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction

EURASIP Journal on Image and Video Processing volume 2007, Article number: 073703 (2008) Cite this article

Abstract

Cued Speech is a specific linguistic code for hearing-impaired people. It is based on both lip reading and manual gestures. In the context of THIMP (Telephony for the Hearing-IMpaired Project), we work on automatic cued speech translation. In this paper, we only address the problem of automatic cued speech manual gesture recognition. Such a gesture recognition issue is really common from a theoretical point of view, but we approach it with respect to its particularities in order to derive an original method. This method is essentially built around a bioinspired method called early reduction. Prior to a complete analysis of each image of a sequence, the early reduction process automatically extracts a restricted number of key images which summarize the whole sequence. Only the key images are studied from a temporal point of view with lighter computation than the complete sequence.

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Authors and Affiliations

  1. France Telecom R&D, 28 chemin du Vieux Chêne, Meylan, 38240, France

    Thomas Burger & Pascal Perret

  2. GIPSA-Lab/DIS, 46 avenue Félix Viallet, Grenoble Cedex, 38031, France

    Alice Caplier

Authors
  1. Thomas Burger
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  2. Alice Caplier
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  3. Pascal Perret
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Correspondence to Thomas Burger.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Burger, T., Caplier, A. & Perret, P. Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction. J Image Video Proc 2007, 073703 (2008). https://doi.org/10.1155/2007/73703

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  • DOI: https://doi.org/10.1155/2007/73703

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