Category: Seminars

Jan 31

Biosignal-based speech processing for communication rehabilitation

Seminar  by Thomas Hueber, CNRS, GIPSA-lab, Grenoble Thursday 8 February, 10:00 – 11:00, room F107 INRIA Montbonnot Saint-Martin Abstract. Propelled by the progress of machine learning, speech technologies such as automatic speech recognition and text-to-speech synthesis have become enough advanced to be deployed in several consumer products and used in our daily lives. However, using …

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Dec 04

A Bayesian Framework for Head Pose Estimation and Tracking

PhD defense by Vincent Drouard Monday 18 December 2017, 11:00 – 12:00, Grand Amphithéatre INRIA Montbonnot Saint-Martin In this thesis, we address the well-known problem of head-pose estimation in the context of human-robot interaction (HRI). We accomplish this task in a two step approach. First, we focus on the estimation of the head pose from …

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Dec 04

Towards automatic learning of gait signatures for people identification in video

Seminar by Manuel J. Marin-Jimenez, Universidad de Córdoba Tuesday 19 December 2017, 11:00 – 12:00, room F107 INRIA Montbonnot Saint-Martin Abstract: This talk targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this talk we present the use …

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Oct 06

Audio-Visual Analysis for Human-Robot Interaction

Data Science Seminar Series, 12 Octobrer 2017 Radu Horaud Abstract: Robots have gradually moved from factory floors to populated spaces. Therefore, there is a crucial need to endow robots with communicative skills. One of the prerequisites of human-robot communication (or more generally, interaction) is the ability of robots to perceive their environment, to detect people, …

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Oct 05

Reinforcement approaches for online learning of virtual vocal conversational agents

Seminar by Fabrice Lefèvre, Université d’Avignon Room C207 9:30 – 11:00   Abstract: Stochastic techniques, supervised or not, or by reinforcement, are now largely spread on every modules intervening in academic systems of human-machine dialog. Current researches strive to improve even further their quality to reach satisfying and acceptable global performance. A major default remains …

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Sep 21

Multi-Microphone Speaker Localization on Manifolds: Achievements and Challenges

Multi-Microphone Speaker Localization on Manifolds: Achievements and Challenges Wednesday, September 27th 2017, 10:30 – 12:00, room F107, INRIA Montbonnot Seminar by Prof. Sharon Gannot, Bar-Ilan University, Israel joint work with Bracha Laufer-Goldshtein, Bar-Ilan University, Israel and Prof. Ronen Talmon, The Technion-IIT, Israel   Abstract: Speech enhancement is a core problem in audio signal processing, with commercial applications …

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Mar 10

Modeling Reverberant Mixtures for Multichannel Audio-Source Separation

Wednesday, 22 March 2017, 10:30 – 11:30 am, room F107, INRIA Montbonnot Seminar by Simon Leglaive, Telecom ParisTech, Paris   Abstract: We tackle the problem of multichannel audio-source separation in under-determined reverberant mixtures. The aim of this talk is to present source separation approaches that can take advantage of prior knowledge on the mixing filters, …

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Nov 28

Augmented parametric shapes for real-time dense 3D modeling using an RGB-D camera

Friday, December 9, 2016,11:00 am to 12:00 pm, room F108, INRIA Montbonnot Seminar by Diego Thomas, University of Kyushu, Fukuoka, Japan   Abstract: Consumer grade RGB-D cameras such as the Kinect camera or the Asus Xtion pro camera have become the commodity tool to build dense 3D models of indoor scenes. The volumetric Truncated Signed …

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Oct 13

A Hybrid Approach for Speech Enhancement Using GMM and Deep Neural Network Phoneme Classifier

Tuesday, October 18, 2016, 4:00 pm to 5:00 pm, room F108, INRIA Montbonnot Seminar by Sharon Gannot, Bar Ilan University Abstract: In this work, we propose a hybrid approach for single microphone speech enhancement, merging the generative Mixture of Gaussians (MoG) model and the discriminative deep neural network (DNN). The proposed algorithm is executed in …

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Sep 30

Binaural sound reproduction for the hearing impaired

Thursday, October 6, 2016, 10:00 am to 11:00 am, room F107, INRIA Montbonnot Seminar by Noam Shabtai, Ben Gourion University Abstract: In most hearing aids systems, microphone array signal processing algorithms may be employed in order to reduce the noise and enhance the signals that are arriving from specific directions. However, most noise reduction algorithms …

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