{"id":61204,"date":"2007-05-11T00:00:00","date_gmt":"2007-05-11T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/robust-speech-recognition-under-band-limited-channel-and-other-channel-distortions\/"},"modified":"2007-05-11T00:00:00","modified_gmt":"2007-05-11T00:00:00","slug":"robust-speech-recognition-under-band-limited-channel-and-other-channel-distortions","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/telefono\/robust-speech-recognition-under-band-limited-channel-and-other-channel-distortions\/","title":{"rendered":"Robust speech recognition under band-limited channel and other channel distortions"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Nicolas Morales Mombiela <\/strong><\/h2>\n<p>Esta tesis es un estudio te\u00f3rico y experimental de reconocimiento  autom\u00e1tico de voz, robusto frente a distorsiones de canal, con particular atenci\u00f3n a filtros que eliminan completamente partes del espectro  de frecuencias en al se\u00f1al. El autor presenta un modelo matem\u00e1tico del efecto que este tipo de distorsiones causa en la se\u00f1al parametrizada, y propone algoritmos de compensaci\u00f3n de la se\u00f1al para solventar el desajuste que se crea entre modelos entrenados en condiciones ideales, y se\u00f1ales distorsionadas. Tambi\u00e9n  se realiza un interesante an\u00e1lisis de la correlaci\u00f3n entre distintos elementos del vector de par\u00e1metros que fundamenta una modificaci\u00f3n  en los algoritmos de compensaci\u00f3n. En la secci\u00f3n experimental se presenta un amplio catalogo de pruebas destinadas a evaluar la importancia de distintos aspectos de los algoritmos  de compensaci\u00f3n presentados. Tambi\u00e9n se propone varios experimentos que recrean situaciones que podr\u00edan presentarse en aplicaciones practicas, como la posibilidad de que la se\u00f1al de voz este afectada por diferentes limitaciones en banda desconocidas a -priori, la compensaci\u00f3n de distorsiones para las que no existen datos de entrenamiento, la escasez de datos de entrenamiento, etc. En todos los casos, se comparan los resultados con otras t\u00e9cnicas de robustez  habitualmente utilizadas (t\u00edpicamente re-entrenamiento, y adaptaci\u00f3n de modelos ac\u00fasticos). Los resultados obtenidos con compensaci\u00f3n de la se\u00f1al, ofrecen grandes mejoras en al tasa de reconocimiento frente al caso de no compensaci\u00f3n. El rendimiento es comparable al de las t\u00e9cnicas de modelos robustos, y su uso puede ser muy beneficiosos cuando se necesita una soluci\u00f3n ligera (por ejemplo en sistemas port\u00e1tiles, o con limitaciones en la capacidad de almacenamiento y computaci\u00f3n), cuando los sistemas est\u00e1n sometidos a m\u00faltiples distorsiones, o cuando los datos de entrenamiento  de cada una de las posibles distorsiones son escasos. Adem\u00e1s, los algoritmos propuestos pueden ser combinado con los de modelos robustos para obtener aun  mejores tasas de reconocimiento.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Robust speech recognition under band-limited channel and other channel distortions<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Robust speech recognition under band-limited channel and other channel distortions <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Nicolas Morales Mombiela <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Aut\u00f3noma de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 05\/11\/2007<\/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>Doroteo Torre Toledano<\/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>john h.l Hansen (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 Nicolas Morales Mombiela Esta tesis es un estudio te\u00f3rico y experimental de reconocimiento autom\u00e1tico de voz, robusto [&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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