Speaker diarization (SD) is the process of assigning speech segments of an audio stream to
its corresponding speakers, thus comprising the problem of voice activity detection (VAD) …

We tackle the speech separation problem through modeling the acoustics of the reverberant
chambers. Our approach exploits structured sparsity models to perform speech recovery and …

Humans can extract speech signals that they need to understand from a mixture of
background noise, interfering sound sources, and reverberation for effective communication …

This paper addresses the problem of ad hoc microphone array calibration where only partial
information about the distances between microphones is available. We construct a matrix …

In the last three decades, the Steered Response Power (SRP) method has been widely
used for the task of Sound Source Localization (SSL), due to its satisfactory localization …

We propose a novel formulation of the generalized cross correlation with phase transform
(GCC-PHAT) for a pair of microphones in diffuse sound field. This formulation elucidates the …

In this paper, the problem of multiple speaker localization via speech separation based on
model-based sparse recovery is studies. We compare and contrast computational sparse …

Abstract The task of Speaker LOCalization (SLOC) has been the focus of numerous works in
the research field, where SLOC is performed on pure speech data, requiring the presence of …

In this paper, a method is proposed for estimating the direction of arrival (DOA) of multiple
broadband sound sources. This is achieved by solving a group-sparse optimization …

In this paper, we propose a robust multi-speaker voice activity detection approach for
wireless acoustic sensor networks (WASN). Each node of the WASN receives a mixture of …