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Descripción
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| Anyone could easily remember the sound produced in several cooking processes, like frying chips, or boiling pasta. This is because these processes are intimately linked to the generation of sound, which has information that a cook can exploit during the cooking. Nevertheless, although it has been largely used in acoustics, very few studies have applied pattern recognition for the monitoring and control of cooking processes. In this paper, we describe a pattern recognition application on a simple case of boiling water, as way to test the technique, trying to find the best approach for a future wider scope. Besides defining and analysing the efficacy and the performance of a statistical pattern recognition approach when applied to different signals in the appliance (sound and vibration), an optimisation module has been proposed to boost the classification rates by adding syntactical analysis that enables the inertia of the process to be considered. In the specific case of boiling water, almost 100% successful recognition has been reached. These results prove the validity of this methodology, opening new research lines for new scenarios such as different cooking processes, acoustically polluted environments, sensor optimisation, etc. Keywords: sound classification, acoustic pattern recognition | |
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Internacional
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Si |
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Nombre congreso
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42nd International Congress and Exposition on Noise Control Engineering - INTER-NOISE 2013 |
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Tipo de participación
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960 |
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Lugar del congreso
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Innsbruck |
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Revisores
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Si |
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ISBN o ISSN
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9781632662675 |
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DOI
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Fecha inicio congreso
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15/09/2013 |
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Fecha fin congreso
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18/09/2013 |
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Desde la página
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1 |
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Hasta la página
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7 |
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Título de las actas
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NOISE CONTROL ENGINEERING. INTERNATIONAL CONGRESS AND EXPOSITION. 42ND 2013. (INTER-NOISE 2013 |