Although a significant amount of work has been carried out for visual perception in the
context of unmanned aerial vehicles (UAVs), not so much has been done regarding auditory …

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 …

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 …

In this article, we address the problem of acoustic source localization using a microphone
array mounted on multirotor unmanned aerial vehicles (UAVs). Conventional localization …

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 …

Drone audition, or auditory processing for drones equipped with a microphone array, is
expected to compensate for problems affecting drones' visual processing, in particular …

This paper presents a sound source distance estimation (SSDE) method using a
convolutional recurrent neural network (CRNN). We approach the sound source distance …