{"id":106128,"date":"2022-12-16T15:36:45","date_gmt":"2022-12-16T13:36:47","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/sistema-mashinnogo-obucheniya-stable-diffusion-adaptirovana-dlya-sinteza-muzyki"},"modified":"2022-12-16T15:36:45","modified_gmt":"2022-12-16T13:36:47","slug":"sistema-mashinnogo-obucheniya-stable-diffusion-adaptirovana-dlya-sinteza-muzyki","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/news\/sistema-mashinnogo-obucheniya-stable-diffusion-adaptirovana-dlya-sinteza-muzyki","title":{"rendered":"Stabil Diffusion-maskininl\u00e4rningssystem \u00e4r anpassat f\u00f6r musiksyntes.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Projektet Riffusion utvecklar en variant av maskininl\u00e4rningssystemet Stable Diffusion, anpassat f\u00f6r att generera musik ist\u00e4llet f\u00f6r bilder. Musik kan syntetiseras fr\u00e5n textbeskrivningar p\u00e5 naturligt spr\u00e5k eller baserat p\u00e5 ett f\u00f6reslaget m\u00f6nster. Komponenterna f\u00f6r musiksyntes \u00e4r skrivna i Python med hj\u00e4lp av PyTorch-ramverket och \u00e4r tillg\u00e4ngliga under MIT-licens. Gr\u00e4nssnittet \u00e4r implementerat i TypeScript och distribueras ocks\u00e5 under MIT-licens. De tr\u00e4nade modellerna \u00e4r \u00f6ppna under den till\u00e5tande licensen Creative ML OpenRAIL-M, som till\u00e5ter anv\u00e4ndning i kommersiella syften.     <\/p>\n<p>Projektet \u00e4r intressant eftersom det forts\u00e4tter att anv\u00e4nda modeller f\u00f6r musikgenerering som \"fr\u00e5n text till bild\" och \"fr\u00e5n bild till bild\", men manipulerar spektrogram som bilder. Med andra ord, den klassiska Stable Diffusion har tr\u00e4nats inte p\u00e5 fotografier och bilder, utan p\u00e5 spektrogram som speglar f\u00f6r\u00e4ndringar i frekvens och amplitud av ljudv\u00e5gor \u00f6ver tid. F\u00f6ljaktligen produceras ocks\u00e5 ett spektrogram i slut\u00e4nden, som sedan omvandlas till en ljudrepresentation.  <center><img decoding=\"async\" alt=\"Stabil Diffusion-maskininl\u00e4rningssystem \u00e4r anpassat f\u00f6r musiksyntes.\" src=\"\/wp-content\/uploads\/2022\/12\/856a8d76a89fcd3f36e2b217537c010c.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <\/p>\n<p>Metoden kan ocks\u00e5 anv\u00e4ndas f\u00f6r att f\u00f6r\u00e4ndra befintliga ljudkompositioner och syntetisera musik baserat p\u00e5 m\u00f6nster, likt modifiering av bilder i Stable Diffusion. Till exempel kan m\u00f6nster av spektrogram med referensstil st\u00e4llas in under generation, olika stilar kan kombineras, en smidig \u00f6verg\u00e5ng fr\u00e5n en stil till en annan kan utf\u00f6ras eller \u00e4ndringar kan g\u00f6ras i befintligt ljud f\u00f6r att \u00e5stadkomma uppgifter som att \u00f6ka volymen av enskilda instrument, \u00e4ndra rytmen och byta instrument. M\u00f6nster anv\u00e4nds ocks\u00e5 f\u00f6r att generera l\u00e5ngvariga kompositioner, sammansatta av en serie sekvenser som ligger n\u00e4ra varandra, med sm\u00e5 f\u00f6r\u00e4ndringar \u00f6ver tid. Separat genererade sekvenser f\u00f6renas i ett kontinuerligt fl\u00f6de genom interpolering av modellens interna parametrar.    <center><img decoding=\"async\" alt=\"Stabil Diffusion-maskininl\u00e4rningssystem \u00e4r anpassat f\u00f6r musiksyntes.\" src=\"\/wp-content\/uploads\/2022\/12\/a338784c3998fb16ce930247a23a6ccb.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>        <\/p>\n<p>F\u00f6r att skapa en spektrogram fr\u00e5n ljud anv\u00e4nds ett f\u00f6nstertransformering av Fourier. N\u00e4r ljudet \u00e5terskapas fr\u00e5n spektrogrammet uppst\u00e5r ett problem med att best\u00e4mma fasen (spektrumet visar endast frekvens och amplitud), f\u00f6r rekonstruktion anv\u00e4nds algoritmen f\u00f6r Griffin-Lim-approximationen.       <center>    <\/center>  <center>  <\/center><br \/>\n<br \/>K\u00e4lla: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=58336\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u043e\u0435\u043a\u0442\u043e\u043c Riffusion \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f Stable Diffusion, \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0434\u043b\u044f \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u043c\u0443\u0437\u044b\u043a\u0438 \u0432\u043c\u0435\u0441\u0442\u043e \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. \u041c\u0443\u0437\u044b\u043a\u0430 \u043c\u043e\u0436\u0435\u0442 \u0441\u0438\u043d\u0442\u0435\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u043e\u0433\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u043d\u0430 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u043c \u044f\u0437\u044b\u043a\u0435 \u0438\u043b\u0438 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u043d\u043e\u0433\u043e \u0448\u0430\u0431\u043b\u043e\u043d\u0430. \u041a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u044b \u0434\u043b\u044f \u0441\u0438\u043d\u0442\u0435\u0437\u0430 \u043c\u0443\u0437\u044b\u043a\u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u044b \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430 PyTorch \u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MIT. \u041e\u0431\u0432\u044f\u0437\u043a\u0430 \u0441 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u043e\u043c \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d\u0430 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 TypeScript \u0438 \u0442\u0430\u043a\u0436\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":106129,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-106128","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u0440\u043e\u0435\u043a\u0442\u043e\u043c Riffusion \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f Stable Diffusion, \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0434\u043b\u044f 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\u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u0421\u0438\u0441\u0442\u0435\u043c\u0430 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f Stable Diffusion \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0430 \u0434\u043b\u044f \u0441\u0438\u043d\u0442\u0435\u0437\u0430 \u043c\u0443\u0437\u044b\u043a\u0438 | ProHoster","og:description":"\u041f\u0440\u043e\u0435\u043a\u0442\u043e\u043c Riffusion \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f Stable Diffusion, \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0434\u043b\u044f \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u043c\u0443\u0437\u044b\u043a\u0438 \u0432\u043c\u0435\u0441\u0442\u043e \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.","og:url":"https:\/\/prohoster.info\/sv\/blog\/news\/sistema-mashinnogo-obucheniya-stable-diffusion-adaptirovana-dlya-sinteza-muzyki","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2022-12-16T13:36:47+00:00","article:modified_time":"2022-12-16T13:36:47+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":[],"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/posts\/106128","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/comments?post=106128"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/posts\/106128\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/media\/106129"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/media?parent=106128"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/categories?post=106128"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/sv\/wp-json\/wp\/v2\/tags?post=106128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}