{"id":152607,"date":"2026-01-12T16:41:46","date_gmt":"2026-01-12T16:41:46","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/reconocimiento-de-1000-palabras-independiente-del-locutor-mediante-modelos-ocultos-de-markov\/"},"modified":"2026-01-12T16:41:46","modified_gmt":"2026-01-12T16:41:46","slug":"reconocimiento-de-1000-palabras-independiente-del-locutor-mediante-modelos-ocultos-de-markov","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/reconocimiento-de-1000-palabras-independiente-del-locutor-mediante-modelos-ocultos-de-markov\/","title":{"rendered":"Reconocimiento de 1000 palabras independiente del locutor, mediante modelos ocultos de markov."},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Ali Al Aubodah Hameed Hasan <\/strong><\/h2>\n<p>El proposito fundamental del trabajo es el desarrollo de un sistema de reconocimiento de palabras aisladas independiente del locutor. Tanto la amplitud del vocabulario como la independencia del locutor son dos factores que dimensionan la dificultad del trabajo.  se opto por unidades elementales a nivel fonetico por la posibilidad de manejo del vocabulario, posesion de identidad linguistica y la existencia de numerosos ejemplares de cada elemento.  la optimizacion del sistema ha sido una tarea con diversas direcciones: la estructura acustica de las unidades, el suavizamiento de los modelos, la integracion de la informacion dinamica de cambios del espectro y el uso de unidades elementales dependientes del contexto.  tambien se desarrollo un algoritmo para generar hipotesis que tiene la tarea de preseleccionar un conjunto reducido de respuestas.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Reconocimiento de 1000 palabras independiente del locutor, mediante modelos ocultos de markov.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Reconocimiento de 1000 palabras independiente del locutor, mediante modelos ocultos de markov. <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Ali Al Aubodah Hameed Hasan <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1990<\/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>Jos\u00e9 Manuel Pardo Mu\u00f1oz<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Andres Santos Lleo <\/li>\n<li>Francisco Del Pozo Guerrero (vocal)<\/li>\n<li>Elias Mu\u00f1oz Merino (vocal)<\/li>\n<li>Antonio Quilis Morales (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Ali Al Aubodah Hameed Hasan El proposito fundamental del trabajo es el desarrollo de un sistema de [&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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