Radio Source
Radio sources are studied across diverse fields, with research focusing on both signal processing and astronomical imaging. Current efforts involve developing efficient algorithms for signal reconstruction and source localization, often employing machine learning techniques like deep neural networks and Bayesian methods, to improve accuracy and reduce computational costs. These advancements have significant implications for various applications, including improved communication systems, advanced astronomical observations, and enhanced indoor positioning technologies.
Papers
Gender Representation in TV and Radio: Automatic Information Extraction methods versus Manual Analyses
David Doukhan, Lena Dodson, Manon Conan, Valentin Pelloin, Aurélien Clamouse, Mélina Lepape, Géraldine Van Hille, Cécile Méadel, Marlène Coulomb-Gully
Detecting the terminality of speech-turn boundary for spoken interactions in French TV and Radio content
Rémi Uro, Marie Tahon, David Doukhan, Antoine Laurent, Albert Rilliard