All projects

Title  Description  Supervisors Status ↓
Developpement of an active noise control umbrella SounDDot is a technology recently developed in the laboratory, providing highly directive sound-diffusion. It is based on an array of ... Romain Boulandet Available  More
Development of a multi-actuated panel for soundproofing purposes The distributed mode loudspeaker (DML) technology is a flat panel loudspeaker from which sound is generated a set of electromechanical ... Romain Boulandet Available  More
Development of an active acoustic metasurface Metamaterials are engineered materials with a subwavelength structure that enables extraordinary propagation and manipulation of waves. In acoustics, they can ... Thomas Laurence Available  More
Design of a new flat loudspeaker concept The electrodynamic moving-coil loudspeaker, as patented by Kellogg and Rice in 1924, is the most spread electroacoustic diffuser in the ... Thomas Laurence Available  More
Development of a remote quiet zone demo In many workspaces, low-frequency noises (LFN), as experienced with industrial machinery, electric transformer and air flow machinery, are the most ... Romain Boulandet Available  More
Wikipedia activity analysis In this project we want to understand dynamic processes on networks and we will be using Wikipedia as an enormous ... Benjamin Ricaud Available  More
Development of an active noise control device for cabin noise reduction According to the World's Health Organization (WHO), occupational noise represents one of the most important source of Noise-Induced Hearing ... Hervé Lissek Available  More
VENOVA : an actively modified cylindrical cross-saxophone After some research, modeling, computations, adjustments and a bit of luck, the team of engineers from Yamaha have developed a ... Thomas Laurence Available  More
Learning Resnets without Backpropagation Resnets are deep neural networks that have achieved state of the art results in various classification tasks. Traditionally they are ... Konstantinos Pitas Available  More
Better uncertainty estimates for DNNs DNNs are increasingly used in sensitive environments such as healthcare. In these sensitive environments a number of important questions arise ... Konstantinos Pitas Available  More
Data-driven research on graph neural networks I am looking for motivated students that wish to work on the development of deep learning algorithms for graph data ... Andreas Loukas Available  More
Fast Graph Clustering We live in a world of data but unfortunately, we still need the tools to exploit all the information that ... Lionel Martin Assigned  More
Improving virtual audio perception with headphones The LTS2-Acoustics is working on binaural audio synthesis for applications in hearing aid technologies. Our activities deal with the improvement ... Gilles André Courtois, Vincent Grimaldi Assigned  More
Detection of fake news in sites and online networks There are numerous sources of information on the net. They can be more or less biaised or reliable and it ... Benjamin Ricaud Assigned  More
Implementation of a low computational cost reverb algorithm The LTS2-Acoustics is working on binaural audio synthesis for applications in hearing aid technologies. Our activities deal with the improvement ... Gilles André Courtois, Vincent Grimaldi Assigned  More
Analysis and synthesis of musical instruments Since the early time of electricity, the idea to create sound through electric means has emerged in the mind of ... Hervé Lissek Assigned  More
Spherical Convolutional Neural Networks In the last 5 years, the field of Machine Learning has been revolutionized by the success of Deep Learning. Thanks ... Michaël Defferrard Assigned  More
Music outside the head In nature and most daily life situations, sounds of the world are naturally perceived as coming from outside the head ... Vincent Grimaldi Assigned  More
Geometric Deep Learning for Fluid Dynamics Use Machine Learning on graphs and manifolds to solve problems in computational fluid dynamics. Michaël Defferrard Assigned  More
Assessment of Low-rank approximation techniques in sound field reconstruction Room modes can significantly impair the quality of sound diffusion, in particular at low-frequencies and in small auditoria. In practice ... Thach Pham Vu Assigned  More
An empirical study of rotation equivariant neural networks The goal of the project is to empirically study the difference in performance of Neural Networks that are either equivariant ... Michaël Defferrard Assigned  More
People Recognition in the Montreux Jazz Festival Archive Idea : Provide an automatic labelling of people in videos using face detection and visual tracking, with application to the Montreux ... Johann Paratte Finished  More
Object Classification using Depth Cameras Idea : tackle object classification tasks based on depth sensor input. Objectives : finding a way to extract meaningful 3D features experimenting ... Johann Paratte Finished  More
Robust Face Detection and Recognition using Depth Cameras Idea : achieve face recognition based on RGB-D cameras. Objectives : creation of a 3D dataset for the learning using RGB face ... Johann Paratte Finished  More
Learning with Hypergraphs In this project the student will inquiries hypergraphs and generalizes the spectral graph theory to this setting. This project is ... Nathanaël Perraudin Finished  More