{"id":77570,"date":"2020-04-11T19:42:07","date_gmt":"2020-04-11T17:42:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-opublikoval-dannye-i-model-mashinnogo-obucheniya-dlya-razdeleniya-zvukov"},"modified":"2020-04-11T19:42:07","modified_gmt":"2020-04-11T17:42:07","slug":"google-opublikoval-dannye-i-model-mashinnogo-obucheniya-dlya-razdeleniya-zvukov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/google-opublikoval-dannye-i-model-mashinnogo-obucheniya-dlya-razdeleniya-zvukov","title":{"rendered":"Google ha publicado datos y un modelo de aprendizaje autom\u00e1tico para la separaci\u00f3n de sonidos.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>La empresa Google <noindex><a rel=\"nofollow\" href=\"https:\/\/opensource.googleblog.com\/2020\/04\/free-universal-sound-separation.html\">ha publicado<\/a><\/noindex> una base de datos de sonidos mixtos de referencia, equipada con anotaciones, que se puede utilizar en sistemas de aprendizaje autom\u00e1tico aplicados a la separaci\u00f3n de sonidos mixtos arbitrarios en componentes individuales. Tambi\u00e9n se ha publicado un modelo universal de aprendizaje autom\u00e1tico profundo (TDCN++), que puede ser utilizado en Tensorflow para la separaci\u00f3n de sonidos. Los datos est\u00e1n preparados basada en una colecci\u00f3n  <noindex><a rel=\"nofollow\" href=\"https:\/\/freesound.org\/\">freesound.org<\/a><\/noindex> y <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google-research\/sound-separation\/\">se publicaron<\/a><\/noindex> bajo la licencia CC BY 4.0. <\/p>\n<p>El proyecto presentado FUSS (Free Universal Sound Separation) est\u00e1 destinado a resolver el problema de la separaci\u00f3n de cualquier n\u00famero de sonidos arbitrarios, cuyo car\u00e1cter no se conoce de antemano. Otros sistemas similares suelen estar limitados a la tarea de separar sonidos espec\u00edficos, como voz y no voz o diferentes hablantes. <\/p>\n<p>La base de datos cuenta con aproximadamente 20,000 mezclas. El conjunto tambi\u00e9n incluye caracter\u00edsticas de impulso ac\u00fastico previamente calculadas, preparadas mediante un simulador de sala especialmente creado, que tiene en cuenta la reflexi\u00f3n de las paredes, la ubicaci\u00f3n de la fuente de sonido y la ubicaci\u00f3n del micr\u00f3fono. <\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Fuente: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=52722\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u0431\u0430\u0437\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u044d\u0442\u0430\u043b\u043e\u043d\u043d\u044b\u0445 \u0441\u043c\u0435\u0448\u0430\u043d\u043d\u044b\u0445 \u0437\u0432\u0443\u043a\u043e\u0432, \u0441\u043d\u0430\u0431\u0436\u0451\u043d\u043d\u0443\u044e \u0430\u043d\u043d\u043e\u0442\u0430\u0446\u0438\u044f\u043c\u0438, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0445 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f, \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u043c\u044b\u0445 \u0434\u043b\u044f \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u043b\u044c\u043d\u044b\u0445 \u0441\u043c\u0435\u0448\u0430\u043d\u043d\u044b\u0445 \u0437\u0432\u0443\u043a\u043e\u0432 \u043d\u0430 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0435 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u044b. \u0422\u0430\u043a\u0436\u0435 \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\u0430 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u044c \u0433\u043b\u0443\u0431\u0438\u043d\u043d\u043e\u0433\u043e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f (TDCN++), \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0430 \u0432 Tensorflow \u0434\u043b\u044f \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0437\u0432\u0443\u043a\u043e\u0432. \u0414\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u044b \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043a\u043e\u043b\u043b\u0435\u043a\u0446\u0438\u0438 freesound.org \u0438 \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\u044b \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 CC BY [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-77570","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u0431\u0430\u0437\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u044d\u0442\u0430\u043b\u043e\u043d\u043d\u044b\u0445 \u0441\u043c\u0435\u0448\u0430\u043d\u043d\u044b\u0445 \u0437\u0432\u0443\u043a\u043e\u0432, \u0441\u043d\u0430\u0431\u0436\u0451\u043d\u043d\u0443\u044e.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" 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