{"id":139443,"date":"2026-01-12T17:45:43","date_gmt":"2026-01-12T17:45:43","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/caracterizacion-de-parametros-acusticos-del-habla-mediante-senales-sintetizadas\/"},"modified":"2026-01-12T17:45:43","modified_gmt":"2026-01-12T17:45:43","slug":"caracterizacion-de-parametros-acusticos-del-habla-mediante-senales-sintetizadas","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-de-la-vida\/caracterizacion-de-parametros-acusticos-del-habla-mediante-senales-sintetizadas\/","title":{"rendered":"Caracterizacion de parametros acusticos del habla mediante se\u00f1ales sintetizadas."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Francisco Martin Martinez Gonzalez <\/strong><\/h2>\n<p>El trabajo experimental, recogido en la presente tesis doctoral, se encuadra en el tema de analisis de se\u00f1ales del habla y en el se abordan los objetivos siguientes: 1) segmentacion de se\u00f1ales temporales del habla, 2) sintesis de se\u00f1ales temporales mediante el metodo de prediccion lineal (l.P.C.) Y 3) estimacion de la funcion coherencia entre los espectros de las se\u00f1ales sintetizadas. Cada uno de estos objetivos planteados van a representar en si mismos, problemas fundamentales en el ambito del analisis digital de se\u00f1ales.  mediante un algoritmo propio se llevo a cabo la segmentacion automatica de las se\u00f1ales temporales previamente registradas, a traves de dos parametros fundamentales: nivel de amplitud y numero de cruces por cero, calculados sobre cada uno de los segmentos minimales, en los que inicialmente se dividen los tramos temporales de trabajo.  utilizando el metodo l.P.C., Se ha elaborado un algoritmo para la obtencion de se\u00f1ales temporales sinteticas, totalmente equivalentes a las se\u00f1ales originales. La diferencia entre unas se\u00f1ales y otras radica en que en las se\u00f1ales de sintesis se puede fijar un periodo fundamental identico para todas ellas y, asimismo, se pueden utilizar distintas se\u00f1ales de excitacion en su obtencion.  a continuacion se abordo el problema de reconocimiento de locutores por sus voces, mediante la aplicacion de la funcion coherencia interespectral, estimada a nivel intralocutor e interlocutor, entre se\u00f1ales sintetizadas por prediccion lineal. Los resultados obtenidos permiten plantear un sistema automatico de identificacion\/verificacion de locutores en el que el parametro fundamental utilizado en la comparacion de las voces, es la funcion coherencia estimada entre los espectros de las se\u00f1ales de sintesis l.P.C..<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Caracterizacion de parametros acusticos del habla mediante se\u00f1ales sintetizadas.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Caracterizacion de parametros acusticos del habla mediante se\u00f1ales sintetizadas. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Francisco Martin Martinez Gonzalez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Murcia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1992<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Antonio Garcia Sanchez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jos\u00e9 Luis Ramon Garcia <\/li>\n<li>Jos\u00e9 Mar\u00eda Vega Fernandez (vocal)<\/li>\n<li>Jaime Amor\u00f3s Arnau (vocal)<\/li>\n<li>Antonio Vigueras Campuzano (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Francisco Martin Martinez Gonzalez El trabajo experimental, recogido en la presente tesis doctoral, se encuadra en el [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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