Deep Neural Networks (DNNs) have gained unprecedented popularity due to their high-
order performance and automated feature extraction capability. This has encouraged …

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 …

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 …

Purpose The paper aims to build a customized hybrid multi-criteria model to identify the top
three utilities of drones at both personal and community levels for two use cases: firefighting …

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 …

A method to effectively perform sound source enhancement from an unmanned aerial
vehicle (UAV)-mounted audio recording system is proposed. The objective of this study is to …

Drones pose a hidden threat to public safety, and effective and accurate detection
technology for the drone that exist in the environment is imminent, in which how to weaken …

The tunable Q-factor-based wavelet transform (TQWT) is a novel method employed for the
speech enhancement (SE) task. However, in TQWT, the controlling parameters Q-factor and …

Multi‐rotor drones equipped with acoustic sensors have great potential for bioacoustically
monitoring vocal species in the environment for biodiversity conservation. The bottleneck of …