13 citations · 31 across the 17 of their papers we have counts for
22 papers
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…
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…
Fast Cross-Correlation for TDoA Estimation on Small Aperture Microphone Arrays
François Grondin, Marc-Antoine Maheux, Jean-Samuel Lauzon +2
This paper introduces the Fast Cross-Correlation (FCC) method for Time Difference of Arrival (TDoA) Estimation for pairs of microphones on a small aperture microphone array. FCC re…
Exploring Self-Attention Mechanisms for Speech Separation
Cem Subakan, Mirco Ravanelli, Samuele Cornell +2
Transformers have enabled impressive improvements in deep learning. They often outperform recurrent and convolutional models in many tasks while taking advantage of parallel proces…
Learning Filterbanks for End-to-End Acoustic Beamforming
Samuele Cornell, Manuel Pariente, François Grondin +1
Recent work on monaural source separation has shown that performance can be increased by using fully learned filterbanks with short windows. On the other hand it is widely known th…
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…
Neural Network Based Lidar Gesture Recognition for Realtime Robot Teleoperation
Simon Chamorro, Jack Collier, François Grondin
We propose a novel low-complexity lidar gesture recognition system for mobile robot control robust to gesture variation. Our system uses a modular approach, consisting of a pose es…
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…
ODAS: Open embeddeD Audition System
François Grondin, Dominic Létourneau, Cédric Godin +5
Artificial audition aims at providing hearing capabilities to machines, computers and robots. Existing frameworks in robot audition offer interesting sound source localization, tra…
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…
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…
Dynamic Object Tracking and Masking for Visual SLAM
Jonathan Vincent, Mathieu Labbé, Jean-Samuel Lauzon +3
In dynamic environments, performance of visual SLAM techniques can be impaired by visual features taken from moving objects. One solution is to identify those objects so that their…
3D Localization of a Sound Source Using Mobile Microphone Arrays Referenced by SLAM
Simon Michaud, Samuel Faucher, François Grondin +5
A microphone array can provide a mobile robot with the capability of localizing, tracking and separating distant sound sources in 2D, i.e., estimating their relative elevation and…
GEV Beamforming Supported by DOA-based Masks Generated on Pairs of Microphones
Francois Grondin, Jean-Samuel Lauzon, Jonathan Vincent +1
Distant speech processing is a challenging task, especially when dealing with the cocktail party effect. Sound source separation is thus often required as a preprocessing step prio…
Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT
Francois Grondin, Hao Tang, James Glass
This paper proposes a straightforward 2-D method to spatially calibrate the visual field of a camera with the auditory field of an array microphone by generating and overlaying an…
Sound Event Localization and Detection Using CRNN on Pairs of Microphones
Francois Grondin, James Glass, Iwona Sobieraj +1
This paper proposes sound event localization and detection methods from multichannel recording. The proposed system is based on two Convolutional Recurrent Neural Networks (CRNNs)…
Fast and Robust 3-D Sound Source Localization with DSVD-PHAT
Francois Grondin, James Glass
This paper introduces a variant of the Singular Value Decomposition with Phase Transform (SVD-PHAT), named Difference SVD-PHAT (DSVD-PHAT), to achieve robust Sound Source Localizat…
Multiple Sound Source Localization with SVD-PHAT
Francois Grondin, James Glass
This paper introduces a modification of phase transform on singular value decomposition (SVD-PHAT) to localize multiple sound sources. This work aims to improve localization accura…
Lightweight and Optimized Sound Source Localization and Tracking Methods for Open and Closed Microphone Array Configurations
Francois Grondin, Francois Michaud
Human-robot interaction in natural settings requires filtering out the different sources of sounds from the environment. Such ability usually involves the use of microphone arrays…
A Study of the Complexity and Accuracy of Direction of Arrival Estimation Methods Based on GCC-PHAT for a Pair of Close Microphones
Francois Grondin, James Glass
This paper investigates the accuracy of various Generalized Cross-Correlation with Phase Transform (GCC-PHAT) methods for a close pair of microphones. We investigate interpolation-…
SVD-PHAT: A Fast Sound Source Localization Method
Francois Grondin, James Glass
This paper introduces a new localization method called SVD-PHAT. The SVD-PHAT method relies on Singular Value Decomposition of the SRP-PHAT projection matrix. A k-d tree is also pr…
A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition
Hao Tang, Wei-Ning Hsu, Francois Grondin +1
Speech recognizers trained on close-talking speech do not generalize to distant speech and the word error rate degradation can be as large as 40% absolute. Most studies focus on ta…