This paper presents a sound source localization method using an irregular microphone
array embedded in a drone. Sound source localization is an integral function of drone …

Speech enhancement for drone audition is made challenging by the strong ego-noise from
the rotating motors and propellers, which leads to extremely low signal-to-noise ratios (eg …

This paper introduces DREGON, a novel publicly-available dataset that aims at pushing
research in sound source localization using a microphone array embedded in an unmanned …

We propose a time-frequency processing method that localizes and enhances a target
sound by exploiting spectral and spatial characteristics of the ego-noise captured by a …

This article fills the gap between the growing interest in signal processing based on Deep
Neural Networks (DNN) and the new application of enhancing speech captured by …

Acoustic sensing from a multi-rotor drone is heavily degraded by the strong ego-noise
produced by the rotating motors and propellers. To address this problem, we propose a …

Sound source localization from a flying drone is a challenging task due to the strong ego-
noise from rotating motors and propellers as well as the movement of the drone and the …

When a micro aerial vehicle (MAV) captures sounds emitted by a ground or aerial source, its
motors and propellers are much closer to the microphone (s) than the sound source, thus …

Acoustic applications on a multi-rotor unmanned aerial vehicle (UAV) have been hindered
by its low input signal-to-noise ratio (SNR). Such low SNR condition poses prominent …

We present an audio-visual dataset recorded outdoors from a quadcopter and discuss
baseline results for multiple applications. The dataset includes a scenario for source …