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Analysis of the influence of signal compression techniques for voice disorder detection through filter-banked based features

dc.contributor.authorSepúlveda Cano, Lina María
dc.contributor.authorQuiza Montealegre, Jhon Jair
dc.contributor.authorGómez García, Jorge Andrés
dc.description.abstractEn este artículo se comparan los resultados de utilizar señales de voz comprimidas frente a señales de voz sin comprimir para detectar de forma automática anomalías vocales. Las técnicas de codificación y compresión de voz usadas en este estudio son las mismas que se utilizan de forma estándar en los sistemas de telefonía fija, móvil e IP, y las técnicas de caracterización y clasificación usadas también están dentro de las más utilizadas para la detección automática de anomalías de voz. Los resultados obtenidos permiten concluir que es posible utilizar señales de voz comprimidas para detección automática de patologías vocales sin detrimento en el porcentaje de acierto en el diagnóstico, lo que haría posible la implementación de sistemas de telediagnóstico automático de patologías
dc.description.abstractThis paper compares the results of using compressed voice signals versus uncompressed speech signals to automatically detect voice abnormalities. Coding techniques and voice compression used in this study are the same as those used by default in the fixed, mobile and ip telephony systems, and techniques of characterization and classification used are also among the most used for detecting automatic speech abnormalities. The results obtained indicate that it is possible to use compressed voice signals for automatic detection of vocal pathologies without compromising the success rate in the diagnosis, which would make the implementation of automatic remote diagnosis of vocal pathologies
dc.format.extentp. 49-66spa
dc.publisherUniversidad de Medellínspa
dc.sourceRevista Ingenierías Universidad de Medellín; Vol. 16, núm. 30 (2017); 49-66spa
dc.subjectRemote diagnosticsspa
dc.subjectVoice pathology detectionspa
dc.subjectVoice compressionspa
dc.subjectBiosignals analysisspa
dc.subjectDetección de patologías de vozspa
dc.subjectCompresión de vozspa
dc.subjectAnálisis de bioseñalesspa
dc.titleAnálisis de la influencia de las técnicas de compresión de voz en la detección de anomalías vocalesspa
dc.titleAnalysis of the influence of signal compression techniques for voice disorder detection through filter-banked based featuresspa
dc.audienceComunidad Universidad de Medellínspa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.coverageLat: 06 15 00 N  degrees minutes  Lat: 6.2500  decimal degreesLong: 075 36 00 W  degrees minutes  Long: -75.6000  decimal degreesspa
dc.creator.affiliationSepúlveda Cano, Lina María; Universidad de Medellínspa
dc.creator.affiliationQuiza Montealegre, Jhon Jair; Universidad de Medellínspa
dc.creator.affiliationGómez García, Jorge Andrés; Universidad Politécnica de Madridspa
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dc.rights.creativecommonsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.type.localArtículo científicospa
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.relation.ispartofjournalRevista Ingenierías Universidad de Medellínspa

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