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 …

In this article we present a methodology for source localization in reverberant environments
from Generalized Cross Correlations (GCCs) computed between spatially distributed …

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 …

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 …

State-of-the-art under-determined audio source separation systems rely on supervised end-
end training of carefully tailored neural network architectures operating either in the time or …

Driverless vehicles are becoming an irreversible trend in our daily lives, and humans can
interact with cars through in-vehicle voice control systems. However, the automatic speech …

(57) ABSTRACT A method, computer program product, and computing sys tem for
determining a time delay between a first audio signal received on a first audio detection …

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 …

We address the problem of sound source localization with a microphone array mounted on a
micro aerial vehicle (MAV). Due to the noise generated by motors and propellers, this …

In this work, we propose efficient algorithms for joint independent subspace analysis (JISA),
an extension of independent component analysis that deals with parallel mixtures, where …