The topic of spherical microphone array signal processing has been gaining importance
since the publications of Meyer and Elko around 2002, and fuelled by many others since …

Multi-channel signals captured by spatially separated sensors often contain a high level of
data redundancy. A compact signal representation enables more efficient storage and …

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 …

This article develops a semi-supervised algorithm to address the challenging multi-source
localization problem in a noisy and reverberant environment, using a spherical harmonics …

In speech communication systems the received microphone signals are commonly
degraded by reverberation and ambient noise that can decrease the fidelity and intelligibility …

The localization of acoustic sound sources is beneficial to signal processing applications of
speech enhancement, dereverberation, separation and tracking. Difficulties in position …

Spatial filtering with microphone arrays is a technique that can be utilized to obtain the
signal of a target sound source from a specific direction. Typical approaches in the field of …

Phase-mode array processing which utilizes the spherical harmonics decomposition offers a
useful framework for spherical microphone arrays. In the modal domain, one of the major …

Speech enhancement algorithms using polynomial matrix eigenvalue decomposition
(PEVD) have been shown to be effective for noisy and reverberant speech. However, these …

Instrumental quality prediction of speech processed by enhancement algorithms has
become crucial with the proliferation of far-field speech applications. To date, while several …