Brigitte Garcia

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This paper describes a method to automatically obtain the glottal space segmentation without user initialization from healthy and pathological vocal folds video sequences captured by the laryngoscope. The segmentation is mainly based on a Gabor filter bank, studying the texture differences inside vocal folds images, and combining it with others advanced(More)
Obtaining the glottal space segmentation is essential to characterize morphological disorders of vocal folds. In this study, the tested images are been acquired by direct optical inspection of the glottis using an endoscope and most of them are very poor quality. The application of motion estimation is very useful to segment the vocal folds endoscopic(More)
In this paper we propose a new Computer Vision technique to reconstruct the vascular wall in space using a deformable model-based technique and compounding methods, based in biplane angiography and intravascular ultrasound data jicsion. It is also proposed a generalpurpose three-dimensional guided interpolation method. The three dimensional centerline of(More)
In this paper, we discuss the theoretical, sociolinguistic, methodological and technical objectives and issues of the French Creagest Project (2007-2012) in setting up, documenting and annotating a large corpus of adult and child French Sign Language (LSF) and of natural gestural language. In section 2., we address theoretical and practical issues,(More)
Patients who have undergone a laryngectomy as a result of larynx cancer have extremely low intelligibility. This is due to the removal of their vocal fold, which forces them to use the air flowing through the esophagus: this is known as esophageal speech. Measurement of formant, in vowels, in a speech signal presents significant errors when conventional(More)
In the last few years there have been great advances in speech processing techniques, frequently oriented to speech recognition, musical effects or vocal encoding. This paper, though many of its contents deal with speech processing, is focused on the developing of hardware devices with DSP's, which implement algorithm for evaluation and improvement of(More)
Cuxac’s Model predicts that each sign of the LSF lexicon is a combination of morphemic rather than phonemic values. This paper exposes the theoretical principles and conditions of falsifiability we propose to constitute an inventory of morphemic values, their assignation to the parametric components and, in fine, to establish which role is played by the(More)
This paper introduces the “joPAS“ programming API, which has been developed by the PAS research team at the University of Deusto. “joPAS” enables the use of “octave” variables and functions through a JAVA program. Therefore, this API makes it possible to not only develop signal processing applications quickly by(More)
This paper presents an oesophageal speech enhancement algorithm. Such exceptionally special type of voice is due to the laryngectomy undergone by those persons with larynx cancer. An oesophageal voice has extremely low intelligibility. This works proposes a method to improve its quality, which consists of stabilizing the poles of the transfer function of(More)
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