家庭用ロボットのための音響表現・分類ベンチマーク
Sound Representation and Classification Benchmark for Domestic Robots
家庭環境で収録した音データセットを用い、様々な音響表現と分類器の組み合わせを分類精度・計算時間・メモリの観点で比較評価した。
著者: Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud
分類: cs.SD, cs.RO
原文アブストラクト
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/.
