DOANet: a deep dilated convolutional neural network approach for search and rescue with drone-embedded sound source localization
Journal: EURASIP Journal on Audio Speech and Music Processing
Year: 2020

Abstract Drone-embedded sound source localization (SSL) has interesting application perspective in challenging search and rescue scenarios due to bad lighting conditions or occlusions. However, the problem gets complicated by severe drone ego-noise that may result in negative signal-to-noise ratios in the recorded microphone signals. In this paper, we present our work on drone-embedded SSL using recordings from an 8-channel cube-shaped microphone array embedded in an unmanned aerial vehicle (UAV