{"id":95423,"date":"2018-03-11T10:15:23","date_gmt":"2018-03-11T10:15:23","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/stochastic-language-models-for-music-information-retrieval\/"},"modified":"2018-03-11T10:15:23","modified_gmt":"2018-03-11T10:15:23","slug":"stochastic-language-models-for-music-information-retrieval","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/teoria-estocastica-y-analisis-de-series-temporales\/stochastic-language-models-for-music-information-retrieval\/","title":{"rendered":"Stochastic language models for music information retrieval"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Carlos P\u00e9rez Sancho <\/strong><\/h2>\n<p>La recuperaci\u00f3n de informaci\u00f3n musical (music information retrieval, mir) es un \u00e1rea de investigaci\u00f3n interdisciplinar que pretende resolver muchos de los problemas que plantea el acceso a grandes bases de datos multimedia, en concreto aquellas con contenido musical, ya sea en formato simb\u00f3lico (midi) o audio. Un problema especialmente importante es la organizaci\u00f3n e indexaci\u00f3n autom\u00e1tica de los datos, ya que realizar estas tareas de forma manual requerir\u00eda un gran esfuerzo que puede ser inabarcable para muchas personas e instituciones.  uno de los descriptores m\u00e1s relevantes que se pueden obtener a partir de una canci\u00f3n para su organizaci\u00f3n autom\u00e1tica es el estilo musical, ya que el estilo es uno de los campos m\u00e1s usados por la gente para acceder a bases de datos y cat\u00e1logos musicales. En esta tesis se estudia hasta qu\u00e9 punto se puede determinar el estilo de una obra musical bas\u00e1ndose \u00fanicamente en la informaci\u00f3n contenida en su partitura, usando para ello t\u00e9cnicas de reconocimento de patrones aplicadas sobre secuencias mel\u00f3dicas y arm\u00f3nicas.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Stochastic language models for music information retrieval<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Stochastic language models for music information retrieval <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Carlos P\u00e9rez Sancho <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Alicante<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 20\/07\/2009<\/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 I\u00f1esta Quereda<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: enrique Vidal ruiz <\/li>\n<li>darrell Conklin (vocal)<\/li>\n<li>alfons Juan  ciscar (vocal)<\/li>\n<li>marc Sebban (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Carlos P\u00e9rez Sancho La recuperaci\u00f3n de informaci\u00f3n musical (music information retrieval, mir) es un \u00e1rea de investigaci\u00f3n [&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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