{"id":11818,"date":"2018-03-09T08:57:23","date_gmt":"2018-03-09T08:57:23","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/compensacion-rapida-de-los-efectos-de-la-velocidad-del-habla-el-pitch-y-el-volumen-de-produccion-de-voz-en-reconocimiento-de-habla-continua\/"},"modified":"2018-03-09T08:57:23","modified_gmt":"2018-03-09T08:57:23","slug":"compensacion-rapida-de-los-efectos-de-la-velocidad-del-habla-el-pitch-y-el-volumen-de-produccion-de-voz-en-reconocimiento-de-habla-continua","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/compensacion-rapida-de-los-efectos-de-la-velocidad-del-habla-el-pitch-y-el-volumen-de-produccion-de-voz-en-reconocimiento-de-habla-continua\/","title":{"rendered":"Compensaci\u00f3n r\u00e1pida de los efectos de la velocidad del habla, el pitch y el volumen de producci\u00f3n de voz en reconocimiento de habla continua"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Daniel Tapias Merino <\/strong><\/h2>\n<p>Las tasas de error en los sistemas de reconocimiento actuales se incrementan notablemente si las condiciones de entrenamiento y de evaluaci\u00f3n son diferentes: los seres humanos superamos estos problemas adaptandonos continuamente al ruido de fondo al canal y al locutor.  incluso identificamos al locutor y extraemos informaci\u00f3n sociocultural que no es \u00fatil para mejorar el proceso de comunicaci\u00f3n.  en la tesis se expone el problema de la variabilidad inter\/intralocutor en particular en tres de par\u00e1metros: la velocidad del habla, el pitch y el volumen de producci\u00f3n de voz.  tras un revisi\u00f3n de las t\u00e9cnicas de compensaci\u00f3n de esta variabilidad, se estudian en detalle los fen\u00f3menos relacionados con la variabilidad para ver como afectan al reconocedor y desarrollar t\u00e9cnicas espec\u00edficas de compensaci\u00f3n basadas en este conocimiento o seleccionar de las existentes las m\u00e1s \u00fatiles de cara a su utilizaci\u00f3n en servicios telef\u00f3nicos.  en particular, se realiza una clasificaci\u00f3n de las t\u00e9cnicas de compensaci\u00f3n existentes en sentido amplio; se estudian en detalle los fen\u00f3menos de variabilidad; se propone una arquitectura de sistema de sistema de reconocimiento que emplea parte de la informaci\u00f3n adicional y se evaluan t\u00e9cnicas de compensaci\u00f3n para cada uno de los fen\u00f3menos para una adaptaci\u00f3n r\u00e1pida del sistema de reconocimiento.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Compensaci\u00f3n r\u00e1pida de los efectos de la velocidad del habla, el pitch y el volumen de producci\u00f3n de voz en reconocimiento de habla continua<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Compensaci\u00f3n r\u00e1pida de los efectos de la velocidad del habla, el pitch y el volumen de producci\u00f3n de voz en reconocimiento de habla continua <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Daniel Tapias Merino <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 29\/06\/2001<\/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> Gomez Mena Juan  Francisco<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Luis alfonso Hernandez gomez <\/li>\n<li>carmen Garc\u00eda mateo (vocal)<\/li>\n<li>belen Ruiz mezcua (vocal)<\/li>\n<li>Antonio  Jos\u00e9 Rubio ayuso (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Daniel Tapias Merino Las tasas de error en los sistemas de reconocimiento actuales se incrementan notablemente si [&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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