Biometric recognition systems are finding applications in more and more civilian fields
because they proved to be reliable and accurate. Among the other technologies, ultrasound …

This work examines the use of generative adversarial networks for reconstructing sound
fields from experimental data. It is investigated whether generative models, which learn the …

This study examines the use of Gaussian process (GP) regression for sound field
reconstruction. GPs enable the reconstruction of a sound field from a limited set of …

Capturing the impulse or frequency response functions within extended regions of a room
requires an unfeasible number of measurements. In this study, a method to reconstruct the …

Compressive sensing (CS) in acoustics has received significant attention in the last decade,
and thus motivates this special issue. CS emerged from the signal processing and applied …

In this manuscript, we describe a novel methodology for nearfield acoustic holography
(NAH). The proposed technique is based on convolutional neural networks, with …

In a previous work, an attempt was made to give a unified view of some acoustic holographic
methods within a Bayesian framework. One advantage of the so-called “Bayesian Focusing” …

Speech localization and enhancement involves sound source map** and reconstruction
from noisy recordings of speech mixtures with microphone arrays. Conventional …

Acoustic imaging is an important technique for sound source identification which is widely
used in noise control and fault detection. It can be described as a method for reconstructing …

Non-interactive and linear experienceslike cinema film offer high quality surround sound
audio to enhance immersion, however, the perspective is usually fixed to the recording …