{"id":52569,"date":"2019-11-11T00:00:00","date_gmt":"2019-11-10T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/otkryt-kod-spleeter-sistemy-dlya-razdeleniya-muzyki-i-golosa"},"modified":"2020-02-18T14:00:20","modified_gmt":"2020-02-18T11:00:20","slug":"otkryt-kod-spleeter-sistemy-dlya-razdeleniya-muzyki-i-golosa","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/otkryt-kod-spleeter-sistemy-dlya-razdeleniya-muzyki-i-golosa","title":{"rendered":"Le code de Spleeter, un syst\u00e8me de s\u00e9paration de la musique et de la voix, a \u00e9t\u00e9 rendu public.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Le fournisseur de streaming Deezer <noindex><a rel=\"nofollow\" href=\"https:\/\/deezer.io\/releasing-spleeter-deezer-r-d-source-separation-engine-2b88985e797e\">a ouvert<\/a><\/noindex> les codes sources du projet exp\u00e9rimental Spleeter, qui d\u00e9veloppe un syst\u00e8me d'apprentissage automatique pour s\u00e9parer les sources sonores des compositions musicales complexes. Le programme permet de retirer la voix d'une composition tout en conservant uniquement l'accompagnement musical, de manipuler le son d'instruments individuels ou de supprimer la musique pour ne conserver que la voix, afin de la superposer \u00e0 une autre piste audio, de cr\u00e9er des mixages, du karaok\u00e9 ou des transcriptions. Le code du projet est \u00e9crit en Python en utilisant le moteur Tensorflow et <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/deezer\/spleeter\">est distribu\u00e9<\/a><\/noindex> sous licence MIT.<\/p>\n<p>Pour charger <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/deezer\/spleeter\/wiki\/3.-Models\">sont sugg\u00e9r\u00e9s<\/a><\/noindex> des mod\u00e8les d\u00e9j\u00e0 entra\u00een\u00e9s pour s\u00e9parer la voix (une seule voix) de l'accompagnement, ainsi que pour la s\u00e9paration en 4 et 5 flux, incluant la voix, les batteries, les basse, le piano et d'autres sons. Spleeter peut \u00eatre utilis\u00e9 comme une biblioth\u00e8que Python ou comme un utilitaire autonome en ligne de commande. Dans le cas le plus simple, \u00e0 partir d'un fichier source <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/deezer\/spleeter\/wiki\/2.-Getting-started\">on cr\u00e9e<\/a><\/noindex> deux, quatre ou cinq fichiers contenant la voix et les \u00e9l\u00e9ments de l'accompagnement (vocals.wav, drums.wav, bass.wav, piano.wav, other.wav).<\/p>\n<p>Lors de la s\u00e9paration en 2 et 4 flux, Spleeter assure une tr\u00e8s haute performance. Par exemple, lorsqu'un GPU est utilis\u00e9, la s\u00e9paration d'un fichier audio en 4 flux prend 100 fois moins de temps que la dur\u00e9e de la composition originale. Sur un syst\u00e8me avec un GPU NVIDIA GeForce GTX 1080 et un CPU Intel Xeon Gold 6134 \u00e0 32 c\u0153urs, le traitement d'une collection de test musDB, d'une dur\u00e9e de trois heures et 27 minutes, a \u00e9t\u00e9 r\u00e9alis\u00e9 en 90 secondes.<\/p>\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/miro.medium.com\/max\/960\/1*j1WakLQXuQkJCXlRk0xt5g.jpeg\"><img decoding=\"async\" alt=\"Le code de Spleeter, un syst\u00e8me de s\u00e9paration de la musique et de la voix, a \u00e9t\u00e9 rendu public.\" src=\"\/wp-content\/uploads\/2019\/11\/6f79ab4b4cc4af0398a09f3e8b3e0f55.jpeg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p><center><br \/>\n<a rel=\"nofollow\"udio style=\"width: 360px; max-width:100%; padding:10; margins: 10\" controls=\"\" src=\"https:\/\/waxy.org\/wp-content\/uploads\/2019\/11\/led_zeppelin_music.mp3\"><\/p>\n<p><a rel=\"nofollow\"udio controls=\"\" style=\"width: 360px; max-width:100%; padding:10; margins: 10\" src=\"https:\/\/waxy.org\/wp-content\/uploads\/2019\/11\/led_zeppelin_vocals.mp3\"><br \/>\n<\/center><\/p>\n<p>Parmi les avantages de Spleeter, par rapport \u00e0 d'autres d\u00e9veloppements dans le domaine de la s\u00e9paration du son, tels que le projet ouvert <noindex><a rel=\"nofollow\" href=\"https:\/\/open.unmix.app\">Open-Unmix<\/a><\/noindex>, on mentionne l'utilisation de mod\u00e8les de meilleure qualit\u00e9, construits sur la base d'une vaste collection de fichiers sonores. En raison des restrictions li\u00e9es aux droits d'auteur, les chercheurs en apprentissage automatique ont un acc\u00e8s limit\u00e9 \u00e0 des collections d'\u0153uvres musicales publiques plut\u00f4t rares, tandis que pour Spleeter, les mod\u00e8les ont \u00e9t\u00e9 construits en utilisant des donn\u00e9es d'un large catalogue musical de Deezer. <\/p>\n<p>Selon <noindex><a rel=\"nofollow\" href=\"https:\/\/waxy.org\/2019\/11\/fast-and-free-music-separation-with-deezers-machine-learning-library\/\">comparativement<\/a><\/noindex> Avec Open-Unmix, l'outil Spleeter r\u00e9alise la s\u00e9paration environ 35 % plus rapidement lors des tests sur CPU, prend en charge les fichiers MP3 et g\u00e9n\u00e8re un r\u00e9sultat de qualit\u00e9 nettement sup\u00e9rieure (en isolant la voix, Open-Unmix laisse des traces de certains instruments, probablement parce que les mod\u00e8les d'Open-Unmix ont \u00e9t\u00e9 entra\u00een\u00e9s sur un ensemble de 150 compositions). <\/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=51838\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u043e\u0432\u0430\u0439\u0434\u0435\u0440 \u043f\u043e\u0442\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0432\u0435\u0449\u0430\u043d\u0438\u044f Deezer \u043e\u0442\u043a\u0440\u044b\u043b \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0442\u0435\u043a\u0441\u0442\u044b \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Spleeter, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u0441\u0438\u0441\u0442\u0435\u043c\u0443 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u043e\u0432 \u0437\u0432\u0443\u043a\u0430 \u0438\u0437 \u0441\u043b\u043e\u0436\u043d\u044b\u0445 \u0437\u0432\u0443\u043a\u043e\u0432\u044b\u0445 \u043a\u043e\u043c\u043f\u043e\u0437\u0438\u0446\u0438\u0439. \u041f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0443\u0434\u0430\u043b\u0438\u0442\u044c \u0438\u0437 \u043a\u043e\u043c\u043f\u043e\u0437\u0438\u0446\u0438\u0438 \u0432\u043e\u043a\u0430\u043b \u0438 \u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u043c\u0443\u0437\u044b\u043a\u0430\u043b\u044c\u043d\u043e\u0435 \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0435\u043d\u0438\u0435, \u043c\u0430\u043d\u0438\u043f\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u0432\u0443\u0447\u0430\u043d\u0438\u0435\u043c \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0445 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0438\u043b\u0438 \u043e\u0442\u0431\u0440\u043e\u0441\u0438\u0442\u044c \u043c\u0443\u0437\u044b\u043a\u0443 \u0438 \u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0433\u043e\u043b\u043e\u0441 \u0434\u043b\u044f \u043d\u0430\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u043d\u0430 \u0434\u0440\u0443\u0433\u043e\u0439 \u0437\u0432\u0443\u043a\u043e\u0432\u043e\u0439 \u0440\u044f\u0434, \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043c\u0438\u043a\u0441\u043e\u0432, \u043a\u0430\u0440\u0430\u043e\u043a\u0435 \u0438\u043b\u0438 \u0442\u0440\u0430\u043d\u0441\u043a\u0440\u0438\u043f\u0446\u0438\u0438. \u041a\u043e\u0434 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":52570,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-52569","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u0440\u043e\u0432\u0430\u0439\u0434\u0435\u0440 \u043f\u043e\u0442\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0432\u0435\u0449\u0430\u043d\u0438\u044f Deezer \u043e\u0442\u043a\u0440\u044b\u043b \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0442\u0435\u043a\u0441\u0442\u044b \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u043e\u0433\u043e.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" 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