AUTHOR=Grondin François , Létourneau Dominic , Godin Cédric , Lauzon Jean-Samuel , Vincent Jonathan , Michaud Simon , Faucher Samuel , Michaud François 

TITLE=ODAS: Open embeddeD Audition System

JOURNAL=Frontiers in Robotics and AI

VOLUME=9

YEAR=2022

URL=https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2022.854444

DOI=10.3389/frobt.2022.854444

ISSN=2296-9144

ABSTRACT=<p>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.</p>