ODAS: Open embeddeD Audition System

Artificial audition aims at providing hearing capabilities to machines, computers and robots. Existing frameworks in robot audition offer interesting sound source localization, tracking and separation performance, although involve a significant amount of computations that limit their use on robots w...

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Autores principales: Grondin, François, Létourneau, Dominic, Godin, Cédric, Lauzon, Jean-Samuel, Vincent, Jonathan, Michaud, Simon, Faucher, Samuel, Michaud, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131248/
https://www.ncbi.nlm.nih.gov/pubmed/35634264
http://dx.doi.org/10.3389/frobt.2022.854444
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author Grondin, François
Létourneau, Dominic
Godin, Cédric
Lauzon, Jean-Samuel
Vincent, Jonathan
Michaud, Simon
Faucher, Samuel
Michaud, François
author_facet Grondin, François
Létourneau, Dominic
Godin, Cédric
Lauzon, Jean-Samuel
Vincent, Jonathan
Michaud, Simon
Faucher, Samuel
Michaud, François
author_sort Grondin, François
collection PubMed
description Artificial audition aims at providing hearing capabilities to machines, computers and robots. Existing frameworks in robot audition offer interesting sound source localization, tracking and separation performance, although involve a significant amount of computations that limit their use on robots with embedded computing capabilities. This paper presents ODAS, the Open embeddeD Audition System framework, which includes strategies to reduce the computational load and perform robot audition tasks on low-cost embedded computing systems. It presents key features of ODAS, along with cases illustrating its uses in different robots and artificial audition applications.
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spelling pubmed-91312482022-05-26 ODAS: Open embeddeD Audition System Grondin, François Létourneau, Dominic Godin, Cédric Lauzon, Jean-Samuel Vincent, Jonathan Michaud, Simon Faucher, Samuel Michaud, François Front Robot AI Robotics and AI Artificial audition aims at providing hearing capabilities to machines, computers and robots. Existing frameworks in robot audition offer interesting sound source localization, tracking and separation performance, although involve a significant amount of computations that limit their use on robots with embedded computing capabilities. This paper presents ODAS, the Open embeddeD Audition System framework, which includes strategies to reduce the computational load and perform robot audition tasks on low-cost embedded computing systems. It presents key features of ODAS, along with cases illustrating its uses in different robots and artificial audition applications. Frontiers Media S.A. 2022-05-11 /pmc/articles/PMC9131248/ /pubmed/35634264 http://dx.doi.org/10.3389/frobt.2022.854444 Text en Copyright © 2022 Grondin, Létourneau, Godin, Lauzon, Vincent, Michaud, Faucher and Michaud. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Grondin, François
Létourneau, Dominic
Godin, Cédric
Lauzon, Jean-Samuel
Vincent, Jonathan
Michaud, Simon
Faucher, Samuel
Michaud, François
ODAS: Open embeddeD Audition System
title ODAS: Open embeddeD Audition System
title_full ODAS: Open embeddeD Audition System
title_fullStr ODAS: Open embeddeD Audition System
title_full_unstemmed ODAS: Open embeddeD Audition System
title_short ODAS: Open embeddeD Audition System
title_sort odas: open embedded audition system
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131248/
https://www.ncbi.nlm.nih.gov/pubmed/35634264
http://dx.doi.org/10.3389/frobt.2022.854444
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AT michaudsimon odasopenembeddedauditionsystem
AT fauchersamuel odasopenembeddedauditionsystem
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