Descripción
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Perceptual voice evaluation according to the GRBAS scale is modelled using a linear combination of acoustic parameters calculated after a filter-bank analysis of the recorded voice signals. Modelling results indicate that for breathiness and asthenia more than 55% of the variance of perceptual rates can be explained by such a model, with only 4 latent variables. Moreover, the greatest part of the explained variance can be attributed to only one or two latent variables similarly weighted by all 5 listeners involved in the experiment. Correlation factors between actual rates and model predictions around 0.6 are obtained. | |
Internacional
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Si |
Nombre congreso
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9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015) |
Tipo de participación
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960 |
Lugar del congreso
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Revisores
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Si |
ISBN o ISSN
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978-88-6655-792-0 |
DOI
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Fecha inicio congreso
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31/08/2015 |
Fecha fin congreso
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04/09/2015 |
Desde la página
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121 |
Hasta la página
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124 |
Título de las actas
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Proceedings of the 9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015) |