HTML5 + CSS3
The paper of Raheel Qader, Gwénolé Lecorvé, Damien Lolive, and Pascale Sébillot on speech disfluencies got rewarded by the Best Paper Award at the conference TALN 2017, held in Orléans (France) in June. The paper can be accessed here: https://hal.inria.fr/hal-01532031/file/disfluency-generation.pdf.
Programme Keynote speaker : Laurent Amsaleg (IRISA/CNRS, team LinkMedia, “multidimensional indexing and search by similarity: large scale, speech, quality”. Speakers : Pamela Carreno, Antoine Perquin, Raheel Qader, Aghilas Sini, Cédric Fayet, Rémy Kessler, Ahmad Alaa Eddine, Stefania Pecòre. Demo : Claude Simon, Damien Lolive.
Dana’s work, as lead of the Adaptive Systems Laboratory at the University of Waterloo, CA, has focused on the analysis of human movement in a variety of applications, including human-robot interaction, rehabilitation and sports training, and interactive architectural and sculptural installations.
Although gesture recognition has been studied for several decades, much research stays in the realm of indoors laboratory experiments. In this thesis, we address the problem of designing a truly usable, real- world gesture recognition system, focusing mainly on the real-time control of an outdoors robot for use by military…
In this thesis, we address the problem of expressivity in Text-To-Speech (TTS) by incorporating two phenomena with a high impact on speech: pronunciation variants and speech disfluencies. In the first part of this thesis, we present a pronunciation variant generation method which works by adapting standard, i.e., dictionary-based, pronunciations to…