Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling

Yoshiki Masuyama
Yoshiki Masuyama
Yoko Sasaki
Yoko Sasaki
Masaki Onishi
Masaki Onishi

IROS, pp. 4848-4854, 2020.

Cited by: 0|Views3
EI

Abstract:

Detecting sound source objects within visual observation is important for autonomous robots to comprehend surrounding environments. Since sounding objects have a large variety with different appearances in our living environments, labeling all sounding objects is impossible in practice. This calls for self-supervised learning which does...More

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