{"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\/fr\/blog\/news\/google-opublikoval-dannye-i-model-mashinnogo-obucheniya-dlya-razdeleniya-zvukov","title":{"rendered":"Google a publi\u00e9 des donn\u00e9es et un mod\u00e8le d'apprentissage automatique pour la s\u00e9paration des sons","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>La soci\u00e9t\u00e9 Google <noindex><a rel=\"nofollow\" href=\"https:\/\/opensource.googleblog.com\/2020\/04\/free-universal-sound-separation.html\">a publi\u00e9<\/a><\/noindex> une base de donn\u00e9es de sons m\u00e9lang\u00e9s de r\u00e9f\u00e9rence, accompagn\u00e9e d'annotations, \u00e0 utiliser dans des syst\u00e8mes d'apprentissage automatique appliqu\u00e9s \u00e0 la s\u00e9paration de sons m\u00e9lang\u00e9s al\u00e9atoires en composants distincts. Un mod\u00e8le universel d'apprentissage profond (TDCN++) a \u00e9galement \u00e9t\u00e9 publi\u00e9, pouvant \u00eatre utilis\u00e9 dans Tensorflow pour la s\u00e9paration des sons. Les donn\u00e9es ont \u00e9t\u00e9 pr\u00e9par\u00e9es sur la base d'une collection  <noindex><a rel=\"nofollow\" href=\"https:\/\/freesound.org\/\">freesound.org<\/a><\/noindex> et <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google-research\/sound-separation\/\">publi\u00e9s<\/a><\/noindex> sous la licence CC BY 4.0. <\/p>\n<p>Le projet pr\u00e9sent\u00e9 FUSS (Free Universal Sound Separation) vise \u00e0 r\u00e9soudre le probl\u00e8me de la s\u00e9paration de n'importe quel nombre de sons al\u00e9atoires, dont la nature est inconnue \u00e0 l'avance. D'autres syst\u00e8mes similaires sont g\u00e9n\u00e9ralement limit\u00e9s \u00e0 la t\u00e2che de s\u00e9paration de sons sp\u00e9cifiques, par exemple la voix et les bruits de fond ou diff\u00e9rents locuteurs. <\/p>\n<p>La base de donn\u00e9es compte environ 20 000 m\u00e9langes. L'ensemble comprend \u00e9galement des caract\u00e9ristiques impulsionnelles des pi\u00e8ces pr\u00e9-calcul\u00e9es, pr\u00e9par\u00e9es \u00e0 l'aide d'un simulateur de chambre sp\u00e9cialement con\u00e7u, tenant compte des r\u00e9flexions sur les murs, de la position de la source sonore et de la position du microphone. <\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Source : <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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