Distributed Acoustic Source Tracking in Noisy and Reverberant Environments With Distributed Microphone Networks

Acoustic Blind Source Separation in Reverberant and Noisy Environments

Tracking Multiple Acoustic Sources in Reverberant Environments

This paper concerns the problem of tracking acoustic sources in reverberant environments by using a particle filter. The localization problem is transformed into the retrieval of the unobservable state of a dynamical model through noisy measures. Though effective, two problems are related to particle filter: the degeneracy phenomenon (all particles but one are not significative) and the loss of...

Nonlinear filtering for speaker tracking in noisy and reverberant environments

This paper addresses the problem of speaker tracking in a noisy and reverberant environment using time delay of arrival (TDOA) measurements at spatially distributed microphone pairs. The tracking problem is posed within a state-space estimation framework, and models are developed for the speaker motion and the likelihood of the speaker location in the light of the TDOA measurements. The resulti...

Distributed Kalman filter-based speaker tracking in microphone array networks

Article history: Received 8 February 2014 Received in revised form 15 August 2014 Accepted 3 September 2014

A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments

In this paper, we present an efficient real-time implementation of a broadband algorithm for blind source separation (BSS) of convolutive mixtures. A recently introduced generic BSS framework based on a matrix formulation allows simultaneous exploitation of nonwhiteness and nonstationarity of the source signals using second-order statistics. We demonstrate here that this general scheme leads to...