{"id":38975,"date":"2018-03-09T09:38:49","date_gmt":"2018-03-09T09:38:49","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/modelado-acustico-de-unidades-sublexicas-mediante-una-aproximacion-basada-en-metodos-estructurales-conexionistas\/"},"modified":"2018-03-09T09:38:49","modified_gmt":"2018-03-09T09:38:49","slug":"modelado-acustico-de-unidades-sublexicas-mediante-una-aproximacion-basada-en-metodos-estructurales-conexionistas","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/modelado-acustico-de-unidades-sublexicas-mediante-una-aproximacion-basada-en-metodos-estructurales-conexionistas\/","title":{"rendered":"Modelado acustico de unidades sublexicas mediante una aproximaci\u00f3n basada en metodos estructurales-conexionistas."},"content":{"rendered":"<h2>Tesis doctoral de <strong> M. Jose Castro Bleda <\/strong><\/h2>\n<p>El reconocimiento autom\u00e1tico de habla consiste, en su acepci\u00f3n m\u00e1s general, en la trasncripci\u00f3n de voz a texto. Es una de las \u00e1reas m\u00e1s importantes del aprendizaje autom\u00e1tico, por la gran cantidad de aplicaciones que pude tener en todos los \u00e1mbitos de la vida cotidiana. A la vez, es una de las \u00e1reas que presenta mayor dificultad debido principalmente a la gran variabilidad del habla, de los locutores y de las tareas abordar. En las dos \u00faltimas d\u00e9cadas la comunidad cient\u00edfica ha invertido un enorme esfuerzo en este campo de investigaci\u00f3n y se han dise\u00f1ado sistemas que en la actualidad alcanzan alrededor de un 90% de procentaje de palabras correctamente reconocidas en tareas de dominio restringido. La metodolog\u00eda m\u00e1s utilizada a la hora de abordar este problema es la basada en la utilizaci\u00f3n de modelos ocultos de markov.  recientemente se han propuesto modelos ac\u00fasticos h\u00edbridos para tareas de reconocimiento autom\u00e1tico del habla: sistemas basados en la combinaci\u00f3n de modelos ocultos de markov y redes neuronales. En este trabajo se investigan modelos h\u00edbridos de estas caracter\u00edsticas y tambi\u00e9n se proponen otros sistemas que combinan aut\u00f3matas inferidos con metodolog\u00edas de inferencia gramatical con redes neuronales.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Modelado acustico de unidades sublexicas mediante una aproximaci\u00f3n basada en metodos estructurales-conexionistas.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Modelado acustico de unidades sublexicas mediante una aproximaci\u00f3n basada en metodos estructurales-conexionistas. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 M. Jose Castro Bleda <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 15\/12\/1998<\/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>Francisco Casacuberta Nolla<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: enrique Vidal ruiz <\/li>\n<li>Mar\u00eda  ines Torres bara\u00f1ano (vocal)<\/li>\n<li>Jos\u00e9 bernardo Mari\u00f1o acebal (vocal)<\/li>\n<li>mikel lorenzo Forcada zubizarreta (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de M. Jose Castro Bleda El reconocimiento autom\u00e1tico de habla consiste, en su acepci\u00f3n m\u00e1s general, en la [&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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[1890,332,2528,126,16820,27844,2535],"tags":[17029,4152,17031,100772,4154,53901],"class_list":["post-38975","post","type-post","status-publish","format-standard","hentry","category-ciencia-de-los-ordenadores","category-ciencias-tecnologicas","category-inteligencia-artificial","category-matematicas","category-politecnica-de-valencia","category-reconocimiento-y-sintetizacion-de-habla","category-tecnologia-de-los-ordenadores","tag-enrique-vidal-ruiz","tag-francisco-casacuberta-nolla","tag-jose-bernardo-marino-acebal","tag-m-jose-castro-bleda","tag-maria-ines-torres-baranano","tag-mikel-lorenzo-forcada-zubizarreta"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/38975","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=38975"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/38975\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=38975"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=38975"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=38975"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}