ODAS: Open embeddeD Audition System
- PMID: 35634264
- PMCID: PMC9131248
- DOI: 10.3389/frobt.2022.854444
ODAS: Open embeddeD Audition System
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.
Keywords: embedded computing; microphone array; open source framework; robot audition; sound source localization.
Copyright © 2022 Grondin, Létourneau, Godin, Lauzon, Vincent, Michaud, Faucher and Michaud.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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