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ORCID: https://orcid.org/0000-0001-7348-3291
(2015).
Tuning of modulation spectrum parameters for voice pathology detection.
En: "9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015)", 02/09/2015 - 04/09/2015, Firenze, Italy. pp. 1-4.
| Título: | Tuning of modulation spectrum parameters for voice pathology detection |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015) |
| Fechas del Evento: | 02/09/2015 - 04/09/2015 |
| Lugar del Evento: | Firenze, Italy |
| Título del Libro: | 9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015) |
| Fecha: | 2015 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Modulation Spectrum, voice pathology, CIL, RALA, AUC |
| Escuela: | E.T.S.I. y Sistemas de Telecomunicación (UPM) |
| Departamento: | Teoría de la Señal y Comunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Acoustic parameters are frequently used to assess the presence of pathologies in human voice. Many of them have demonstrated to be useful but in some cases its results could be optimized by selecting appropriate working margins. In this study two indices, CIL and RALA, obtained from Modulation Spectra are described and tuned using different frame lengths and frequency ranges to maximize AUC in normal to pathological voice detection. After the tuning process, AUC reaches 0.96 and 0.95 values for CIL and RALA respectively representing an improvement of 16 % and 12 % at each case respect to the typical tuning based only on frame length selection.
| ID de Registro: | 37845 |
|---|---|
| Identificador DC: | https://oa.upm.es/37845/ |
| Identificador OAI: | oai:oa.upm.es:37845 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 03 Nov 2015 19:23 |
| Ultima Modificación: | 01 Feb 2023 12:01 |
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