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Descripción
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| In this paper a novel method to evaluate the quality of the voice signal is presented. Our novel hypothesis is that the first and second formants allow the estimation of the jaw-tongue dynamics. Once the velocity is computed, it is approximated by the Sigma-Lognormal model whose parameters enable to distinguish between normal and pathological voices. Three types of pathologies are used to test the method: Laryngeal Diseases, Parkinson and Amyotrophic Lateral Sclerosis. Preliminary results show that the novel features proposed are able to distinguish between parameters of normal and pathological voice. Moreover, it is also possible to discriminate between the three types of pathologies studied in this work. | |
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Internacional
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Si |
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Nombre congreso
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4th International KES Conference on Innovation in Medicine and Healthcare KES-InMed-16 |
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Tipo de participación
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960 |
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Lugar del congreso
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Puerto de la Cruz, Tenerife |
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Revisores
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Si |
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ISBN o ISSN
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978-3-319-39686-6 |
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DOI
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10.1007/978-3-319-39687-3_3 |
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Fecha inicio congreso
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15/06/2016 |
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Fecha fin congreso
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17/06/2016 |
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Desde la página
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25 |
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Hasta la página
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35 |
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Título de las actas
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Innovation in Medicine and Healthcare 2016, Innovation, Systems and Technologies 60 |