Sound source localization and separation with permutation resolution are essential for achieving a computational auditory scene analysis system that can extract useful information from a mixture of various sounds. Because existing methods cope separately with these problems despite their mutual dependence, the overall result with these approaches can be degraded by any failure in one of these c...

Listeners have to make sense of a complex acoustic world containing overlapping sound sources that must be organized into individual auditory objects. Computational auditory scene analysis concerns the use of algorithms inspired by human sound perception whose aim is to extract properties of constituent sound sources in a complexmixture. Starting with representations based on models of how soun...

Human listeners have a remarkable ability to separate a complex mixture of sounds into discrete sources. The processes underlying this ability have been termed ‘auditory scene analysis’ (Bregman 1990; this volume). Recently, an interdisciplinary field known as ‘computational auditory scene analysis’ (CASA) has emerged which aims to develop computer systems that mimic this aspect of hearing (Ros...

Evolution and entropy in the organization of urban street patterns Nahid Mohajeri a , Jon R. French b & Michael Batty c a Department of Geography, University College London, London, UK b Environmental Modelling Group, Department of Geography, University College London, London, UK c Centre for Advanced Spatial Analysis (CASA), University College London, London, UK Version of record first publish...

background and aim: foundations and mechanisms of auditory scene analysis (asa) including segregation and integration were especially reviewed in the study. i focused on the related studies using event-related potentials (erps). recent findings: publications on asa using erps from 1971 to 2014 indicate neural mechanisms of asa in central auditory system. conclusion: asa results in recognition o...

In this paper we consider representations for use in models of the processing that occurs between the eardrum and our conscious experience of sound. We first list “good” properties for such mid-level representations, then present a framework within which to discuss some examples. We compare in detail two popular schemes — sinusoid tracks and correlograms — and propose a new representation, weft...

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A human listener has the ability to follow a speaker’s voice over time in the presence of other talkers and non-speech interference. This paper proposes a general system for sequential organization of speech based on speaker models. By training a general background model, the proposed system is shown to function well with both interfering talkers and non-speech intrusions. To deal with situatio...