80 citations · 87 across the 4 of their papers we have counts for
10 papers
CREATE: Multimodal Dataset for Unsupervised Learning, Generative Modeling and Prediction of Sensory Data from a Mobile Robot in Indoor Environments
Simon Brodeur, Simon Carrier, Jean Rouat
The CREATE database is composed of 14 hours of multimodal recordings from a mobile robotic platform based on the iRobot Create. The various sensors cover vision, audition, motors a…
HoME: a Household Multimodal Environment
Simon Brodeur, Ethan Perez, Ankesh Anand +6
We introduce HoME: a Household Multimodal Environment for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all with…
Moving Toward High Precision Dynamical Modelling in Hidden Markov Models
Sébastien Gagnon, Jean Rouat
Hidden Markov Model (HMM) is often regarded as the dynamical model of choice in many fields and applications. It is also at the heart of most state-of-the-art speech recognition sy…
Robust 3D Localization and Tracking of Sound Sources Using Beamforming and Particle Filtering
Jean-Marc Valin, François Michaud, Jean Rouat
In this paper we present a new robust sound source localization and tracking method using an array of eight microphones (US patent pending) . The method uses a steered beamformer b…
Microphone array post-filter for separation of simultaneous non-stationary sources
Jean-Marc Valin, Jean Rouat, François Michaud
Microphone array post-filters have demonstrated their ability to greatly reduce noise at the output of a beamformer. However, current techniques only consider a single source of in…
Enhanced Robot Audition Based on Microphone Array Source Separation with Post-Filter
Jean-Marc Valin, Jean Rouat, François Michaud
We propose a system that gives a mobile robot the ability to separate simultaneous sound sources. A microphone array is used along with a real-time dedicated implementation of Geom…