{"id":1022,"date":"1994-01-01T00:00:00","date_gmt":"1994-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/1994\/01\/01\/seleccion-y-estimacion-de-parametros-en-sistemas-de-reconocimiento-de-voz-basados-en-modelos-ocultos-de-markov\/"},"modified":"1994-01-01T00:00:00","modified_gmt":"1994-01-01T00:00:00","slug":"seleccion-y-estimacion-de-parametros-en-sistemas-de-reconocimiento-de-voz-basados-en-modelos-ocultos-de-markov","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/seleccion-y-estimacion-de-parametros-en-sistemas-de-reconocimiento-de-voz-basados-en-modelos-ocultos-de-markov\/","title":{"rendered":"Seleccion y estimacion de parametros en sistemas de reconocimiento de voz basados en modelos ocultos de markov."},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Peinado Herreros Antonio  Miguel <\/strong><\/h2>\n<p>El presente trabajo esta comprometido esencialmente con el estudio de algunos aspectos del modelado acustico con modelos ocultos de markov (hmm), que, por ahora, sigue siendo la aproximacion mas extendida en el ambito del reconocimiento automatico del habla. Fundamentalmente, se aborda el problema de la seleccion y estimacion de los modelos, asi como su enriquecimiento con la incorporacion de informaciones utiles que no son, en otros casos, aprovechadas. Entre los puntos basicos puede destacarse:  1) enriquecimiento de los vectores de caracteristicas mediante la incorporacion de informacion sobre la energia de la se\u00f1al y proposicion de un distancia de procesado de se\u00f1al apropiada, 2) estudio sobre las posibilidades de estimacion discriminativa en modelos con cuantizacion multiple (mvq) y obtencion de nuevos algoritmos de dise\u00f1o discriminativo de diccionarios vq, y 3) creacion de un nuevo modelado hmm (denominado scmvq) que incorpora las ideas de mvq y modelado hmm semicontinuo.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Seleccion y estimacion de parametros en sistemas de reconocimiento de voz basados en modelos ocultos de markov.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Seleccion y estimacion de parametros en sistemas de reconocimiento de voz basados en modelos ocultos de markov. <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Peinado Herreros Antonio  Miguel <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Granada<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1994<\/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  Jos\u00e9 Rubio Ayuso<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Francisco Casacuberta Nolla <\/li>\n<li>Enric Monte Moreno (vocal)<\/li>\n<li>Mar\u00eda  Ines Torres Bara\u00f1ano (vocal)<\/li>\n<li>Eduardo Lleida Solano (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Peinado Herreros Antonio Miguel El presente trabajo esta comprometido esencialmente con el estudio de algunos aspectos del [&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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