Author:
Grondin François,Létourneau Dominic,Godin Cédric,Lauzon Jean-Samuel,Vincent Jonathan,Michaud Simon,Faucher Samuel,Michaud François
Abstract
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.
Funder
Fonds de Recherche Du Québec—Nature et Technologies
Subject
Artificial Intelligence,Computer Science Applications
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