{"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\/sv\/blog\/news\/otkryt-kod-spleeter-sistemy-dlya-razdeleniya-muzyki-i-golosa","title":{"rendered":"Koden till Spleeter, systemet f\u00f6r att separera musik och r\u00f6st, har \u00f6ppnats","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Streamingleverant\u00f6ren Deezer har \u00f6ppnat<\/a><\/noindex> de ursprungliga texterna fr\u00e5n det experimentella projektet Spleeter, som utvecklar ett maskininl\u00e4rningssystem f\u00f6r att separera ljudk\u00e4llor fr\u00e5n komplexa ljudkompositioner. Programmet m\u00f6jligg\u00f6r att ta bort s\u00e5ngen fr\u00e5n kompositionen och endast beh\u00e5lla det musikaliska ackompanjemanget, manipulera ljudet fr\u00e5n enskilda instrument eller helt ta bort musiken och beh\u00e5lla r\u00f6sten f\u00f6r att \u00f6verlagra p\u00e5 ett annat ljudsp\u00e5r, skapa mixes, karaoke eller transkription. Projektets kod \u00e4r skriven i Python med hj\u00e4lp av Tensorflow-motorn och sprids<\/a><\/noindex> licensieras under MIT.<\/p>\n

F\u00f6r nedladdning erbjuds<\/a><\/noindex> redan tr\u00e4nade modeller f\u00f6r att separera s\u00e5ng (en r\u00f6st) fr\u00e5n ackompanjemanget, samt f\u00f6r att separera i 4 och 5 str\u00f6mmar som inkluderar s\u00e5ng, trummor, basar, piano och \u00f6vrigt ljud. Spleeter kan anv\u00e4ndas b\u00e5de som en Python-bibliotek och som en frist\u00e5ende kommandoradsverktyg. I det enklaste fallet, baserat p\u00e5 en k\u00e4llfil, skapas<\/a><\/noindex> tv\u00e5, fyra eller fem filer med s\u00e5ng och komponenter fr\u00e5n ackompanjemanget (vocals.wav, drums.wav, bass.wav, piano.wav, other.wav).<\/p>\n

Vid separation i 2 och 4 str\u00f6mmar erbjuder Spleeter mycket h\u00f6g prestanda; till exempel, n\u00e4r en GPU anv\u00e4nds, tar separationen av ljudfilen i 4 str\u00f6mmar 100 g\u00e5nger mindre tid \u00e4n l\u00e4ngden p\u00e5 den ursprungliga kompositionen. P\u00e5 ett system med GPU NVIDIA GeForce GTX 1080 och 32-k\u00e4rnig CPU Intel Xeon Gold 6134 utf\u00f6rdes bearbetningen av testkollektionen musDB, som varade i tre timmar och 27 minuter, p\u00e5 90 sekunder.<\/p>\n

\"Koden<\/a><\/noindex><\/center><\/p>\n


\n<\/p>\n


\n<\/center><\/p>\n

Bland f\u00f6rdelarna med Spleeter, j\u00e4mf\u00f6rt med andra utvecklingar inom ljudseparation, s\u00e5som det \u00f6ppna projektet Open-Unmix<\/a><\/noindex>, n\u00e4mns anv\u00e4ndningen av mer kvalitativa modeller som byggts p\u00e5 en stor upps\u00e4ttning ljudfiler. P\u00e5 grund av upphovsr\u00e4ttsliga begr\u00e4nsningar har forskare inom maskininl\u00e4rning begr\u00e4nsad tillg\u00e5ng till ganska obefintliga offentliga samlingar av musikfiler, medan modellerna f\u00f6r Spleeter har byggts med hj\u00e4lp av data fr\u00e5n en stor musik katalog fr\u00e5n Deezer. <\/p>\n

uttalandet j\u00e4mf\u00f6relse<\/a><\/noindex> Med Open-Unmix verktyget Spleeter sker uppdelningen ungef\u00e4r 35 % snabbare under tester p\u00e5 CPU, det st\u00f6der MP3-filer och genererar avsev\u00e4rt mer kvalitativa resultat (n\u00e4r r\u00f6sten separeras i Open-Unmix finns det sp\u00e5r av vissa instrument, vilket troligen f\u00f6rklaras av att modellerna i Open-Unmix har tr\u00e4nats p\u00e5 en samling om totalt 150 l\u00e5tar). <\/p>\n

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

K\u00e4lla: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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