In this paper we present ensembles of classifiers for automated animal audio classification,
exploiting different data augmentation techniques for training Convolutional Neural …

Time-frequency analysis (TFA) for mechanical vibrations in non-stationary operations is the
main subject of this article, concisely written to be an introducing tutorial comparing different …

The Auditory Modeling Toolbox (AMT) is a MATLAB/Octave toolbox for the development and
application of computational auditory models with a particular focus on binaural hearing …

An emerging way to deal with high-dimensional noneuclidean data is to assume that the
underlying structure can be captured by a graph. Recently, ideas have begun to emerge …

Ultrahigh-speed optical interconnects are essential to future cloud computing. Further
increase in optical transmission speed has been hindered by power consumption and …

A noniterative method for the reconstruction of the short-time fourier transform (STFT) phase
from the magnitude is presented. The method is based on the direct relationship between …

Dynamic range limitations in signal processing often lead to clipping, or saturation, in
signals. The task of audio declipping is estimating the original audio signal, given its clipped …

Convex optimization is an essential tool for machine learning, as many of its problems can
be formulated as minimization problems of specific objective functions. While there is a large …

In this paper we present a smart soccer shoe that uses textile pressure sensing matrices to
detect and analyze the interaction between players' foot and the ball. We describe the …

Deep learning based visual-to-sound generation systems have been developed that identify
and create audio features from video signals. However, these techniques often fail to …