{"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\/et\/blog\/news\/otkryt-kod-spleeter-sistemy-dlya-razdeleniya-muzyki-i-golosa","title":{"rendered":"Ava Spleeteri kood, muusika ja h\u00e4\u00e4le eraldamise s\u00fcsteem","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Vooges Deezer avatud<\/a><\/noindex> katsete allikaid eksperimentaalsest projektist Spleeter, mis arendab masin\u00f5ppe s\u00fcsteemi heliallikate eraldamiseks keerulistest helikoostistest. Programm v\u00f5imaldab eemaldada teosest laulu ja j\u00e4tta ainult muusikalise saatmise, manipuleerida \u00fcksikute instrumentide heliga v\u00f5i j\u00e4tta muusika ja j\u00e4tta h\u00e4\u00e4l, et neid teiste heliridadega segada, mikste teha, karaoket v\u00f5i transkribeerida. Projekti kood on kirjutatud Pythonis kasutades Tensorflow'd ja levitatakse<\/a><\/noindex> MIT litsentsi alusel.<\/p>\n

Allalaadimiseks pakuvad<\/a><\/noindex> juba treenitud mudeleid, mis eraldavad laulu (\u00fche h\u00e4\u00e4le) saatest ning ka 4 ja 5 voogu, mis h\u00f5lmavad laulu, trumme, basse, klaverit ja \u00fclej\u00e4\u00e4nud heli. Spleeterit saab kasutada nii Python'i teegina kui ka iseseisva k\u00e4suviiba utiliidina. Lihtsaimal juhul luuakse l\u00e4htfailist kaks, neli v\u00f5i viis faili, kus on h\u00e4\u00e4l ja saatmise koostisosad (vocals.wav, drums.wav, bass.wav, piano.wav, other.wav).<\/a><\/noindex> 2 ja 4 vooga eraldamisel tagab Spleeter v\u00e4ga k\u00f5rge j\u00f5udluse, n\u00e4iteks GPU kasutamisel v\u00f5tab helifaili jagamine 4 voogu 100 korda v\u00e4hem aega kui algse teose kestus. NVIDIA GeForce GTX 1080 GPU ja 32- s\u00fcdamikuga Intel Xeon Gold 6134 s\u00fcsteemis tehti testkollektsiooni musDB, mille kestus on kolm tundi ja 27 minutit, t\u00f6\u00f6tlemine 90 sekundi jooksul.<\/p>\n

Spleeteri eelisteks v\u00f5rreldes teiste helide eraldamise arendustega, nagu avatud projekt<\/p>\n

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


\n<\/p>\n


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

Open-Unmix , tuuakse v\u00e4lja kasutatud kvaliteetsemad mudelid, mis on loodud ulatuslikest helifailide kollektsioonidest. Autori\u00f5iguste piirangute t\u00f5ttu on masin\u00f5ppe uurijad piiratud juurdep\u00e4\u00e4suga piisavalt v\u00e4hestele avalikele muusikafailide kollektsioonidele, samas kui Spleeter'i mudelid on loodud kasutades laia muusikakatalooge Deezer.<\/a><\/noindex>v\u00f5rreldes <\/p>\n

Ajal muudega.<\/a><\/noindex> Open-Unmixi t\u00f6\u00f6riistakomplekt Spleeter sooritab eraldamise umbes 35% kiiremini CPU testimise ajal, toetab MP3-faile ja genereerib m\u00e4rgatavalt kvaliteetsema tulemuse (kui Open-Unmixis eraldatakse h\u00e4\u00e4l, j\u00e4\u00e4vad m\u00f5ned instrumentide j\u00e4ljed, mis t\u00f5en\u00e4oliselt tulenevad sellest, et Open-Unmixi mudelid on treenitud 150 kompositsioonist koosneva kogumi peal). <\/p>\n

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

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

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