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In this paper we deal with the problem of localizing and tracking multiple acoustic sources by means of microphones pairs. We assume that the propagation takes place in a reverberating environment such as an office room. The problem is tackled by combining two well known techniques. First, for each pair of microphones, source de-mixing is carried out using(More)
—In this article we propose a novel acoustic source localization method that accommodates the general scenario of multiple independent microphone arrays. The method is based on a 3D parameter space defined by the 2D spatial location of a source and the range difference (extracted from the TDOA). In this space, the set of points that correspond to a given(More)
  • P Bestagini, M Compagnoni, F Antonacci, A Sarti, S Tubaro, A Sarti +2 others
  • 2012
In this paper we consider a class of geometric methods for acoustic source local-ization based on range differences (or time differences of arrival), and we offer a new and unifying perspective on such methods based on the adoption of a multidimensional reference frame obtained by adding the range difference coordinate to the spatial coordinates of the(More)
This paper describes an audio-based video surveillance system which automatically detects anomalous audio events in a public square, such as screams or gunshots, and localizes the position of the acoustic source, in such a way that a video-camera is steered consequently. The system employs two parallel GMM classifiers for discriminating screams from noise(More)
In this paper we propose a method for reconstructing the 2D geometry of the surrounding environment based on the signals acquired by a fixed microphone, when a series of acoustic stimula are produced in different positions in space. After estimating the Times Of Arrival (TOAs) of the reflective paths, we turn each TOA into a projective geometric constraint(More)
This paper describes an audio event detection system which automatically classifies an audio event as ambient noise, scream or gunshot. The classification system uses two parallel GMM clas-sifiers for discriminating screams from noise and gunshots from noise. Each classifier is trained using different features, appropriately chosen from a set of 47 audio(More)
—Acoustic scene reconstruction is a process that aims to infer characteristics of the environment from acoustic measurements. We investigate the problem of locating planar reflectors in rooms, such as walls and furniture, from signals obtained using distributed microphones. Specifically, localization of multiple two-dimensional (2-D) reflectors is achieved(More)
—Computational auditory scene analysis exploits signals acquired by means of microphone arrays. In some circumstances, more than one array is deployed in the same environment. In order to effectively fuse the information gathered by each array, the relative location and pose of the arrays needs to be obtained solving a problem of geometric inter-array(More)
In the past few years, a number of practical video coding schemes following distributed source coding principles have emerged. One of the main goals of distributed video coding (DVC) is to enable a flexible distribution of the computational complexity between the encoder and the decoder, while approaching the coding efficiency of conventional closed-loop(More)
A block-wise approach to sound synthesis based on nonlinear wave digital modelling is proposed. Starting from a semantic description of the physical model, the technique generates, validates and initialises appropriate simulation source code with time-varying parameters. Introduction: Research into sound synthesis for acoustic and musical applications has(More)