Title
Sound representation and classification benchmark for domestic robots
Abstract
We address the problem of sound representation and classification and present results of a comparative study in the context of a domestic robotic scenario. A dataset of sounds was recorded in realistic conditions (background noise, presence of several sound sources, reverberations, etc.) using the humanoid robot NAO. An extended benchmark is carried out to test a variety of representations combined with several classifiers. We provide results obtained with the annotated dataset and we assess the methods quantitatively on the basis of their classification scores, computation times and memory requirements. The annotated dataset is publicly available at https://team.inria.fr/perception/nard/.
Year
DOI
Venue
2014
10.1109/ICRA.2014.6907786
ICRA
Keywords
DocType
Volume
humanoid robot nao,domestic robot,human-robot interaction,classification benchmark,reverberation,humanoid robots,audio systems,sound representation,background noise
Journal
abs/1402.3689
Issue
ISSN
Citations 
1
1050-4729
10
PageRank 
References 
Authors
0.70
21
4
Name
Order
Citations
PageRank
Maxime Janvier1211.41
Xavier Alameda-Pineda223228.24
Laurent Girin347353.76
Radu Horaud42776261.99