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This paper addresses the problem of identifying the class of the environment where an audio recording was taken. We focus on distinguishing between indoor and outdoor speech recordings, and we propose a set of classifiers that provide a support for the forensic analyst in verifying the authenticity of audio content. The classifiers rely on acoustic clues extracted from the reverberant signal, namely...
We designed a strategy for extracting the shapes of cell membranes and nuclei from time lapse confocal images taken throughout early zebrafish embryogenesis using a partial-differential-equation-based segmentation. This segmentation step is a prerequisite for an accurate quantitative analysis of cell morphodynamics during embryogenesis and it is the basis for an integrated understanding of biological...
In this paper we present a novel hierarchical and scalable three-stage algorithm to effectively perform musical audio semantic segmentation. In the first stage, the energy spectrum of the entire audio track is analyzed to find significant energy textures that may characterize different semantic segments; in the second and third stages, tonal and timbric features are used to refine the segmentation...
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