ODAS: Open embeddeD Audition System
Audio and Speech Processing
2022-05-12 v2 Robotics
Sound
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
Cite
@article{arxiv.2103.03954,
title = {ODAS: Open embeddeD Audition System},
author = {François Grondin and Dominic Létourneau and Cédric Godin and Jean-Samuel Lauzon and Jonathan Vincent and Simon Michaud and Samuel Faucher and François Michaud},
journal= {arXiv preprint arXiv:2103.03954},
year = {2022}
}
Comments
This paper was published in Frontiers Robotics and AI