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This paper proposes a method that solves the problem of geometric calibration of microphone arrays. We consider a distributed system, in which each array is controlled by separate acquisition devices that do not share a common synchronization clock. Given a set of probing sources, e.g. loudspeakers, each array computes an estimate of the source locations using a conventional TDOA-based algorithm....
In this paper we present a methodology for the self-calibration of two microphone arrays based on the localization of acoustic sources from volumetric acoustic maps, one for each array. A set of correspondences are obtained moving the acoustic source at different locations in space. The proposed algorithm estimates the rigid motion that brings the coordinate system of the second microphone array to...
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 diversity...
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