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Multimodality Acquisition of Articulatory Data and Processing

Abstract : In this paper, a framework to acquire and process dynamic data of the tongue during speech processing is presented. First, a setup to acquire data of the tongue shape combining ultrasound images, electromagnetic localization sensors and sound is presented. Techniques to automatically calibrate and synchronize the data are described. A method to extract the tongue shape is then proposed, by combining a preprocessing of the ultrasound images with an imagebased tracking method that integrates adapted constraints.
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Contributor : Michael Aron <>
Submitted on : Tuesday, September 2, 2008 - 2:42:24 PM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM
Long-term archiving on: : Thursday, June 3, 2010 - 7:22:53 PM


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  • HAL Id : inria-00316041, version 1



Michael Aron, Anastasios Roussos, Marie-Odile Berger, Erwan Kerrien, Petros Maragos. Multimodality Acquisition of Articulatory Data and Processing. 16th European Signal Processing Conference - EUSIPCO 2008, EPFL, Aug 2008, Lausanne, Switzerland. ⟨inria-00316041⟩



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