Pierre Roussel-Ragot

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The paper proposes a general framework which encompasses the training of neural networks and the adaptation of filters. We show that neural networks can be considered as general non-linear filters which can be trained adaptively, i. e. which can undergo continual training with a possibly infinite number of time-ordered examples. We introduce the canonical(More)
The paper first summarizes a general approach to the training of recurrent neural networks by gradient-based algorithms, which leads to the introduction of four families of training algorithms. Because of the variety of possibilities thus available to the "neural network designer," the choice of the appropriate algorithm to solve a given problem becomes(More)
The article presents the results of tests of a portable post-laryngectomy voice replacement system that allows a silently articulating speaker to select and play back short phrases contained in a 60-phrase phrasebook. Such a system could be a useful communication tool for post-laryngectomy patients unable to use tracheo-oesophageal speech. Experiments on(More)
Arrhythmia classification remains a major challenge for appropriate therapy delivery in implantable cardioverter defibrillators (ICDs). The purpose of this paper is to present a new algorithm for arrhythmia discrimination based on a statistical classification by support vector machines of a novel 2-D representation of electrograms (EGMs) named spatial(More)
The article compares two approaches to the description of ultrasound vocal tract images for application in a "silent speech interface," one based on tongue contour modeling, and a second, global coding approach in which images are projected onto a feature space of Eigentongues. A curvature-based lip profile feature extraction method is also presented.(More)
The paper proposes a general framework which encompasses the training of neural networks and the adaptation of filters. It is shown that neural networks can be considered as general non-linear filters which can be trained adaptively, i.e. which can undergo continual training. A unified view of gradient-based training algorithms for feedback networks is(More)
Ultrasound imaging of the tongue and videos of lips movements can be used to investigate specific articulation in speech or singing voice. In this study, tongue and lips image sequences recorded during singing performance are used to predict vocal tract properties via Line Spectral Frequencies (LSF). We focused our work on traditional Corsican singing(More)
The paper presents an interactive game-like application to learn, perform and evaluate modern contemporary singing. The Human Beat Box (HBB) is being used as a case study. The game consists of two main modules. A sensor module that consists of a portable helmet based system containing an ultrasonic (US) transducer to capture tongue movements, a video camera(More)