activity
20182025
most citedOpenTera: A Microservice Architecture Solution for Rapid Prototyping of Robotic Solutions to COVID-19 Challenges in Care Facilities

2 citations · 2 across the 7 of their papers we have counts for

collaborators

17 papers

eess.SY2025

Sugar Shack 4.0: Practical Demonstration of an IIoT-Based Event-Driven Automation System

Thomas Bernard, François Grondin, Jean-Michel Lavoie

This paper presents a practical alternative to programmable-logic-controller-centric automation by implementing an event-driven architecture built with industrial Internet of Thing…

eess.AS2025

Multi-Speaker DOA Estimation in Binaural Hearing Aids using Deep Learning and Speaker Count Fusion

Farnaz Jazaeri, Homayoun Kamkar-Parsi, François Grondin +1

For extracting a target speaker voice, direction-of-arrival (DOA) estimation is crucial for binaural hearing aids operating in noisy, multi-speaker environments. Among the solution…

eess.AS2021

REAL-M: Towards Speech Separation on Real Mixtures

Cem Subakan, Mirco Ravanelli, Samuele Cornell +1

In recent years, deep learning based source separation has achieved impressive results. Most studies, however, still evaluate separation models on synthetic datasets, while the per…

cs.HC20212 cited

OpenTera: A Microservice Architecture Solution for Rapid Prototyping of Robotic Solutions to COVID-19 Challenges in Care Facilities

Adina M. Panchea, Dominic Létourneau, Simon Brière +8

As telecommunications technology progresses, telehealth frameworks are becoming more widely adopted in the context of long-term care (LTC) for older adults, both in care facilities…

cs.SD2021

Audio scene monitoring using redundant ad-hoc microphone array networks

Peter Gerstoft, Yihan Hu, Michael J. Bianco +4

We present a system for localizing sound sources in a room with several ad-hoc microphone arrays. Each circular array performs direction of arrival (DOA) estimation independently u…

cs.SD2020

BIRD: Big Impulse Response Dataset

François Grondin, Jean-Samuel Lauzon, Simon Michaud +2

This paper introduces BIRD, the Big Impulse Response Dataset. This open dataset consists of 100,000 multichannel room impulse responses (RIRs) generated from simulations using the…