{"id":105165,"date":"2022-09-25T21:36:38","date_gmt":"2022-09-25T19:36:39","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/otkryt-kod-sistemy-raspoznavaniya-i-perevoda-rechi-whisper"},"modified":"2022-09-25T21:36:38","modified_gmt":"2022-09-25T19:36:39","slug":"otkryt-kod-sistemy-raspoznavaniya-i-perevoda-rechi-whisper","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/otkryt-kod-sistemy-raspoznavaniya-i-perevoda-rechi-whisper","title":{"rendered":"U hap kodi i sistemit t\u00eb njohjes dhe p\u00ebrkthimit t\u00eb t\u00eb folurit Whisper","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Projekti OpenAI, i angazhuar n\u00eb zhvillimin e projekteve t\u00eb hapura n\u00eb fush\u00ebn e inteligjenc\u00ebs artificiale, publikoi zhvillimet e lidhura me sistemin e njohjes s\u00eb t\u00eb folurit Whisper. Pretendohet se p\u00ebr t\u00eb folur n\u00eb anglisht, sistemi siguron nivele t\u00eb besueshm\u00ebris\u00eb dhe sakt\u00ebsis\u00eb t\u00eb njohjes automatike q\u00eb jan\u00eb af\u00ebr atyre t\u00eb njohjes nga njeriu. Kodi i implementimit referues \u00ebsht\u00eb i hapur dhe bazohet n\u00eb korniz\u00ebn PyTorch, dhe nj\u00eb grup i modeleve t\u00eb trajnuara tashm\u00eb \u00ebsht\u00eb i gatsh\u00ebm p\u00ebr p\u00ebrdorim. Kodi \u00ebsht\u00eb i hapur n\u00ebn licenc\u00ebn MIT.     <\/p>\n<p>P\u00ebr t\u00eb trajnuar modelin jan\u00eb p\u00ebrdorur 680 mij\u00eb or\u00eb t\u00eb dh\u00ebnash t\u00eb t\u00eb folurit, t\u00eb mbledhura nga disa koleksione q\u00eb mbulojn\u00eb gjuh\u00eb dhe tema t\u00eb ndryshme. Rreth 1\/3 e t\u00eb dh\u00ebnave t\u00eb folura q\u00eb u p\u00ebrdor\u00ebn p\u00ebr trajnimin vijn\u00eb nga gjuh\u00eb t\u00eb ndryshme nga anglishtja. Sistemi i ofruar p\u00ebrpunon sakt\u00ebsisht situata t\u00eb tilla si shqiptimi me theks, prania e zhurmave sfondi dhe p\u00ebrdorimi i zhargonit teknik. P\u00ebrve\u00e7 transkriptimit t\u00eb t\u00eb folurit n\u00eb tekst, sistemi gjithashtu mund t\u00eb p\u00ebrkthej\u00eb t\u00eb folurin nga \u00e7do gjuh\u00eb n\u00eb anglisht dhe t\u00eb identifikoj\u00eb shfaqjen e t\u00eb folurit n\u00eb nj\u00eb rrjedh\u00eb audiosh.          <\/p>\n<p>Modelet jan\u00eb formuar n\u00eb dy p\u00ebrfaq\u00ebsime: nj\u00eb model p\u00ebr gjuh\u00ebn angleze dhe nj\u00eb model shum\u00ebgjuh\u00ebsh q\u00eb mb\u00ebshtet, p\u00ebrfshir\u00eb, gjuh\u00ebt ruse, ukrainase dhe bjelloruse. N\u00eb an\u00ebn tjet\u00ebr, \u00e7do p\u00ebrfaq\u00ebsim ndahet n\u00eb 5 variante q\u00eb ndryshojn\u00eb n\u00eb madh\u00ebsi dhe numrin e parametrave t\u00eb mbuluar nga modeli. Sa m\u00eb i madh t\u00eb jet\u00eb madh\u00ebsia, aq m\u00eb e lart\u00eb \u00ebsht\u00eb sakt\u00ebsia dhe cil\u00ebsia e njohjes, por gjithashtu rriten k\u00ebrkesat p\u00ebr madh\u00ebsin\u00eb e memorjes video GPU dhe ulet performanca. P\u00ebr shembull, varianti minimal p\u00ebrfshin 39 milion parametra dhe k\u00ebrkon 1 GB memorie video, nd\u00ebrsa maksimi p\u00ebrfshin 1550 milion parametra dhe k\u00ebrkon 10 GB memorie video. Varianti minimal \u00ebsht\u00eb 32 her\u00eb m\u00eb i shpejt\u00eb se maksimi.       <center><img decoding=\"async\" alt=\"U hap kodi i sistemit t\u00eb njohjes dhe p\u00ebrkthimit t\u00eb t\u00eb folurit Whisper\" src=\"\/wp-content\/uploads\/2022\/09\/d6aa63e77cddead1a7abfa9083ff37cb.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>      <\/p>\n<p>Sistemi p\u00ebrdor arkitektur\u00ebn e rrjetit nervor \"Transformer\", e cila p\u00ebrfshin nj\u00eb kodues dhe nj\u00eb dekodues q\u00eb veprojn\u00eb n\u00eb m\u00ebnyr\u00eb t\u00eb nd\u00ebrsjell\u00eb. Z\u00ebri ndahet n\u00eb fragmente 30-sekond\u00ebshe, t\u00eb cilat konvertohen n\u00eb log-Mel-spektrogram dhe i d\u00ebrgohen koduesit. Rezultati nga koduesi i d\u00ebrgohet dekoduesit, i cili parashikon p\u00ebrfaq\u00ebsimin tekstual, t\u00eb p\u00ebrshtatur me tokenat speciale, duke mund\u00ebsuar q\u00eb n\u00eb nj\u00eb model t\u00eb vet\u00ebm t\u00eb adresohen detyra si identifikimi i gjuh\u00ebs, mbajtja e rendit kronologjik t\u00eb shqiptimeve, transkriptimi i fjal\u00ebve n\u00eb gjuh\u00eb t\u00eb ndryshme dhe p\u00ebrkthimi n\u00eb anglisht.<br \/>\n<br \/>Burimi: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=57812\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u043e\u0435\u043a\u0442 OpenAI, \u0437\u0430\u043d\u0438\u043c\u0430\u044e\u0449\u0438\u0439\u0441\u044f \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0435\u043c \u043e\u0431\u0449\u0435\u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430, \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b \u043d\u0430\u0440\u0430\u0431\u043e\u0442\u043a\u0438, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0435 \u0441 \u0441\u0438\u0441\u0442\u0435\u043c\u043e\u0439 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0440\u0435\u0447\u0438 Whisper. \u0423\u0442\u0432\u0435\u0440\u0436\u0434\u0430\u0435\u0442\u0441\u044f, \u0447\u0442\u043e \u0434\u043b\u044f \u0440\u0435\u0447\u0438 \u043d\u0430 \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u043e\u043c \u044f\u0437\u044b\u043a\u0435 \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u0443\u0440\u043e\u0432\u043d\u0438 \u043d\u0430\u0434\u0451\u0436\u043d\u043e\u0441\u0442\u0438 \u0438 \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u0438 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0431\u043b\u0438\u0437\u043a\u0438\u0435 \u043a \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044e \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u043e\u043c. \u041e\u0442\u043a\u0440\u044b\u0442\u044b \u043a\u043e\u0434 \u044d\u0442\u0430\u043b\u043e\u043d\u043d\u043e\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u043d\u0430 \u0431\u0430\u0437\u0435 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430 PyTorch \u0438 \u043d\u0430\u0431\u043e\u0440 \u0443\u0436\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439, \u0433\u043e\u0442\u043e\u0432\u044b\u0445 \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f. \u041a\u043e\u0434 \u043e\u0442\u043a\u0440\u044b\u0442 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":105166,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-105165","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\u0435\u043a\u0442 OpenAI, \u0437\u0430\u043d\u0438\u043c\u0430\u044e\u0449\u0438\u0439\u0441\u044f \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0435\u043c \u043e\u0431\u0449\u0435\u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 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