Person

Patricia Besson

This person is no longer with EPFL

Related publications (9)

Bayesian networks and information theory for audio-visual perception modeling

Thanks to their different senses, human observers acquire multiple information coming from their environment. Complex cross-modal interactions occur during this perceptual process. This article proposes a framework to analyze and model these interactions t ...

2010

Hypothesis testing for evaluating a multimodal pattern recognition framework applied to speaker detection

Murat Kunt, Patricia Besson

Background: Speaker detection is an important component of many human-computer interaction applications, like for example, multimedia indexing, or ambient intelligent systems. This work addresses the problem of detecting the current speaker in audio-visual ...

2008

Extraction of audio features specific to speech production for multimodal speaker detection

Jean-Philippe Thiran, Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) between the resulting audio and video features allows the detection of the activ ...

2008

A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007

Differential Evolution applied to a multimodal information theoretic optimization problem

Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

This paper discusses the problems raised by the optimization of a mutual information-based objective function, in the context of a multimodal speaker detection. As no approximation is used, this function is highly nonlinear and plagued by numerous local mi ...

2006

Extraction of Audio Features Specific to Speech using Information Theory and Differential Evolution

Jean-Philippe Thiran, Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

We present a method that exploits an information theoretic framework to extract optimized audio features using the video information. A simple measure of mutual information (MI) between the resulting audio features and the video ones allows to detect the a ...

2005

A multimodal approach to extract optimized audio features for speaker detection

Jean-Philippe Thiran, Murat Kunt, Torsten Butz, Patricia Besson

We present a method that exploits an information theoretic framework to extract optimal audio features with respect to the video features. A simple measure of mutual information between the resulting audio features and the video ones allows to detect the a ...

IEEE2005

Review of the development of cesium iodide photocathodes for application to large RICH detectors

Giorgio Margaritondo, Patricia Besson

CsI photocathodes were studied in order to evaluate their potential use as large photoconverters in RICH detectors for the PID system at ALICE (LHC in heavy ion collider mode). It has been demonstrated that a quantum efficiency comparable to the reference ...

1995

Recent Results on the Properties of CsI Photocathodes

Giorgio Margaritondo, Helmuth Berger, Patricia Besson

We report here on the results obtained by the CERN RD26 collaboration on the production and characterization of large area photocathodes, susceptible to equip fast UV-photon imaging devices. Such detectors are planned for some Ring Imaging Cherenkov (RICH) ...

1995

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