{"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\/da\/blog\/news\/google-opublikoval-dannye-i-model-mashinnogo-obucheniya-dlya-razdeleniya-zvukov","title":{"rendered":"Google har offentliggjort data og en maskinl\u00e6ringsmodel til lydseparation","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Google offentliggjorde<\/a><\/noindex> et databaser af standardiserede blandede lyde, forsynet med annotationer, som kan anvendes i maskinl\u00e6ringssystemer til at adskille vilk\u00e5rlige blandede lyde i separate komponenter. Der er ogs\u00e5 offentliggjort en universel dyb l\u00e6ringsmodel (TDCN++), som kan anvendes i Tensorflow til at adskille lyde. Dataene er forberedt p\u00e5 grundlag af en samling freesound.org<\/a><\/noindex> og er offentliggjort<\/a><\/noindex> under CC BY 4.0-licensen. <\/p>\n

Det pr\u00e6senterede projekt FUSS (Free Universal Sound Separation) har til form\u00e5l at l\u00f8se problemet med at adskille et vilk\u00e5rligt antal lyde, hvis karakter ikke er kendt p\u00e5 forh\u00e5nd. Andre lignende systemer er typisk begr\u00e6nset til opgaven med at adskille bestemte lyde, for eksempel tale og ikke-tale eller forskellige talende personer. <\/p>\n

DB'en indeholder omkring 20.000 blandinger. S\u00e6ttet inkluderer ogs\u00e5 forudberegnede impulsresponskarakteristika for lokalet, forberedt ved hj\u00e6lp af en specielt udviklet rum-simulator, der tager h\u00f8jde for refleksioner fra v\u00e6gge, placeringen af lydkilden og placeringen af mikrofonen. <\/p>\n

<\/a><\/noindex><\/p>\n

Kilde: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\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 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\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 […]<\/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\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Google har offentliggjort data og en maskinl\u00e6ringsmodel til 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