Computational Models of Auditory Scene Analysis: A Review

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Computational Models of Auditory Scene Analysis: A Review

Auditory scene analysis (ASA) refers to the process (es) of parsing the complex acoustic input into auditory perceptual objects representing either physical sources or temporal sound patterns, such as melodies, which contributed to the sound waves reaching the ears. A number of new computational models accounting for some of the perceptual phenomena of ASA have been published recently. Here we ...

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Auditory Scene Analysis: Computational Models

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...

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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...

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Various grouping attributes have been translated into successful signal processing techniques that may be used in source separation, e.g., to separate speech from background. However, separation is not enough to know: What is the source of the sound? A next step beyond primitive ASA is schema-based ASA, to give meaning to the source, i.e. to map bottom-up audio features to the meaningful conten...

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ژورنال

عنوان ژورنال: Frontiers in Neuroscience

سال: 2016

ISSN: 1662-453X

DOI: 10.3389/fnins.2016.00524