We investigate the problem of sensor and source joint localization using time-difference of
arrivals (TDOAs) of an ad-hoc array. A major challenge is that the TDOAs contain unknown …

Reduction of late reverberation can be achieved using spatio-spectral filters, such as the
multichannel Wiener filter. To compute this filter, an estimate of the late reverberation power …

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 …

We present a blind source separation algorithm named GCC-NMF that combines
unsupervised dictionary learning via non-negative matrix factorization (NMF) with spatial …

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 …

We propose a time difference of arrival (TDOA) estimation framework based on time-
frequency inter-channel phase difference (IPD) to count and localize multiple acoustic …

In this paper, we investigate the sampling rate mismatch problem in distributed microphone
arrays and propose a correlation maximization algorithm to blindly estimate the sampling …

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 …

In this paper, we propose a convex optimization-based estimation of sparse and smooth
power spectral densities (PSDs) of complex-valued random processes from mixtures of …