{"id":53722,"date":"2019-12-08T00:00:00","date_gmt":"2019-12-07T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/kompaniya-mozilla-predstavila-dvizhok-raspoznavaniya-rechi-deepspeech-0-6"},"modified":"2020-02-18T14:01:39","modified_gmt":"2020-02-18T11:01:39","slug":"kompaniya-mozilla-predstavila-dvizhok-raspoznavaniya-rechi-deepspeech-0-6","status":"publish","type":"post","link":"https:\/\/prohoster.info\/az\/blog\/news\/kompaniya-mozilla-predstavila-dvizhok-raspoznavaniya-rechi-deepspeech-0-6","title":{"rendered":"Mozilla \u015firk\u0259ti DeepSpeech 0.6 s\u0259s tan\u0131ma m\u00fch\u0259rrikini t\u0259qdim etdi","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><noindex><a rel=\"nofollow\" href=\"https:\/\/hacks.mozilla.org\/2019\/12\/deepspeech-0-6-mozillas-speech-to-text-engine\/\">T\u0259qdim olunur<\/a><\/noindex> Mozilla t\u0259r\u0259find\u0259n inki\u015faf etdiril\u0259n nitqi tan\u0131ma m\u00fch\u0259rrikinin burax\u0131l\u0131\u015f\u0131 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/releases\/v0.6.0\">DeepSpeech 0.6<\/a><\/noindex>, eyni adl\u0131 nitqi tan\u0131ma arxitekturas\u0131n\u0131 h\u0259yata ke\u00e7irir, <noindex><a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/abs\/1412.5567\">t\u0259klif olunan<\/a><\/noindex> Baidu \u015firk\u0259tinin t\u0259dqiqat\u00e7\u0131lar\u0131 t\u0259r\u0259find\u0259n. \u0130cra Python dilind\u0259 TensorFlow ma\u015f\u0131n \u00f6yr\u0259nm\u0259 platformas\u0131ndan istifad\u0259 ed\u0259r\u0259k yaz\u0131l\u0131b v\u0259 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\">yay\u0131l\u0131r<\/a><\/noindex> MPL 2.0 a\u00e7\u0131q lisenziyas\u0131 alt\u0131nda d\u0259st\u0259kl\u0259nir. Linux, Android, macOS v\u0259 Windows-da i\u015fl\u0259m\u0259yi d\u0259st\u0259kl\u0259yir. M\u00fch\u0259rrikin LePotato, Raspberry Pi 3 v\u0259 Raspberry Pi 4 platalar\u0131nda istifad\u0259si \u00fc\u00e7\u00fcn kifay\u0259t q\u0259d\u0259r performans\u0131 var.<\/p>\n<p>D\u0259st\u0259 d\u0259 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/releases\/download\/v0.6.0\/deepspeech-0.6.0-models.tar.gz\">t\u0259klif edilir<\/a><\/noindex> t\u0259lim ke\u00e7mi\u015f modell\u0259r, <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/releases\/download\/v0.6.0\/audio-0.6.0.tar.gz\">Pi say\u0131s\u0131n\u0131 virg\u00fclden sonra bir milyar basama\u011fa kadar do\u011fru bir \u015fekilde hesaplamak i\u00e7in etkili programlar. Matematik\u00e7i Fabrice Bellard, Pi say\u0131s\u0131n\u0131 hesaplamak i\u00e7in en h\u0131zl\u0131 form\u00fcl\u00fcn yarat\u0131c\u0131s\u0131 olarak tan\u0131nmaktad\u0131r.<\/a><\/noindex> s\u0259s fayllar\u0131 v\u0259 komanda x\u0259tti \u00fc\u00e7\u00fcn tan\u0131ma al\u0259tl\u0259ri daxildir. Nitqi tan\u0131ma funksiyas\u0131n\u0131 proqramlar\u0131n\u0131za inteqrasiya etm\u0259k \u00fc\u00e7\u00fcn Python, NodeJS, C++ v\u0259 .NET \u00fc\u00e7\u00fcn istifad\u0259y\u0259 haz\u0131r modullar t\u0259klif edilir (m\u00fcst\u0259qil inki\u015faf\u00e7\u0131lar t\u0259r\u0259find\u0259n ayr\u0131ca modullar haz\u0131rlan\u0131b <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/RustAudio\/deepspeech-rs\">Rust<\/a><\/noindex> v\u0259 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/asticode\/go-astideepspeech\">Go<\/a><\/noindex>). Haz\u0131r model yaln\u0131z ingilis dili \u00fc\u00e7\u00fcn t\u0259qdim edilir, lakin dig\u0259r dill\u0259r \u00fc\u00e7\u00fcn <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/wiki#how-can-i-train-using-my-own-data\">t\u00f6vsiy\u0259 olunan<\/a><\/noindex> <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/blob\/master\/TRAINING.rst#common-voice-training-data\">t\u0259limatda<\/a><\/noindex> sistem \u00f6z\u00fcn\u00fcz\u00fc \u00f6yr\u0259d\u0259 bil\u0259rsiniz, istifad\u0259 ed\u0259r\u0259k <noindex><a rel=\"nofollow\" href=\"https:\/\/voice.mozilla.org\/en\/datasets\">s\u0259s m\u0259lumatlar\u0131<\/a><\/noindex>, Common Voice layih\u0259si t\u0259r\u0259find\u0259n toplanm\u0131\u015fd\u0131r. <\/p>\n<p>DeepSpeech \u0259n\u0259n\u0259vi sisteml\u0259rd\u0259n xeyli asand\u0131r v\u0259 eyni zamanda xarici s\u0259s-k\u00fcy alt\u0131nda tan\u0131ma keyfiyy\u0259tini d\u0259 art\u0131r\u0131r. \u0130nki\u015fafda \u0259n\u0259n\u0259vi akustik modell\u0259r v\u0259 fonem anlay\u0131\u015f\u0131 istifad\u0259 edilmir, bunun \u0259v\u0259zin\u0259 m\u00fcxt\u0259lif sapmalara, m\u0259s\u0259l\u0259n, s\u0259s-k\u00fcy, \u0259ks-s\u0259da v\u0259 dan\u0131\u015f\u0131q \u00f6z\u0259llikl\u0259rin\u0259 modell\u0259\u015fdirm\u0259k \u00fc\u00e7\u00fcn ayr\u0131ca komponentl\u0259rin inki\u015faf\u0131na ehtiyac olmadan yax\u015f\u0131 optimalla\u015fd\u0131r\u0131lm\u0131\u015f neyron \u015f\u0259b\u0259k\u0259 \u0259sasl\u0131 ma\u015f\u0131n \u00f6yr\u0259nm\u0259 sistemi t\u0259tbiq olunur. <\/p>\n<p>Bel\u0259 bir yana\u015fman\u0131n \u0259ks t\u0259r\u0259fi budur ki, keyfiyy\u0259tli tan\u0131ma v\u0259 neyron \u015f\u0259b\u0259k\u0259nin \u00f6yr\u0259dilm\u0259si \u00fc\u00e7\u00fcn DeepSpeech m\u00fch\u0259rriki b\u00f6y\u00fck m\u00fcxt\u0259liflilikd\u0259 real \u015f\u0259raitd\u0259 f\u0259rqli s\u0259sl\u0259 s\u00f6yl\u0259nmi\u015f m\u0259lumatlar t\u0259l\u0259b edir.<br \/>\nBel\u0259 m\u0259lumatlar\u0131n toplanmas\u0131 Mozilla-da yarad\u0131lm\u0131\u015f Common Voice layih\u0259si t\u0259r\u0259find\u0259n h\u0259yata ke\u00e7irilir, <noindex><a rel=\"nofollow\" href=\"https:\/\/voice.mozilla.org\/\">Common Voice<\/a><\/noindex>, 780 saat \u0259rzind\u0259\/ <noindex><a rel=\"nofollow\" href=\"https:\/\/voice.mozilla.org\/en\/datasets\">ingilis dilind\u0259<\/a><\/noindex>, 325 alman, 173 frans\u0131z v\u0259 27 saat rusca. <\/p>\n<p>Common Voice layih\u0259sinin son m\u0259qs\u0259di, nitqi tan\u0131ma zaman\u0131 q\u0259bul edil\u0259n s\u0259hv s\u0259viyy\u0259sini t\u0259min etm\u0259k \u00fc\u00e7\u00fcn m\u00fcxt\u0259lif t\u0259l\u0259ff\u00fczl\u0259rl\u0259 standart c\u00fcml\u0259l\u0259rin qeydl\u0259rini toplamaqd\u0131r. Layih\u0259nin hal-haz\u0131rda, i\u015ftirak\u00e7\u0131lar t\u0259r\u0259find\u0259n toplam 4.3 min saat qeyd\u0259 al\u0131nm\u0131\u015fd\u0131r, bunlardan 3.5 min saat yoxlan\u0131lm\u0131\u015fd\u0131r. DeepSpeech \u00fc\u00e7\u00fcn ingilis dili modelinin \u00f6yr\u0259dilm\u0259si zaman\u0131 3816 saat nitq istifad\u0259 edilmi\u015fdir, Common Voice layih\u0259si il\u0259 yana\u015f\u0131 LibriSpeech, Fisher v\u0259 Switchboard layih\u0259l\u0259rind\u0259n m\u0259lumatlar da daxil edilmi\u015fdir v\u0259 h\u0259m\u00e7inin t\u0259xmin\u0259n 1700 saat radio proqram\u0131n\u0131n transkrib edilmi\u015f qeydl\u0259rini \u0259hat\u0259 edir.<\/p>\n<p>Y\u00fckl\u0259nm\u0259k \u00fc\u00e7\u00fcn t\u0259qdim edil\u0259n ingilis dili modelind\u0259n istifad\u0259 ed\u0259rk\u0259n DeepSpeech-y\u0259 tan\u0131ma s\u0259hvl\u0259ri 7.5% olur, test d\u0259stin\u0259 \u0259sas\u0259n <noindex><a rel=\"nofollow\" href=\"http:\/\/www.openslr.org\/12\/\">LibriSpeech<\/a><\/noindex>. M\u00fcqayis\u0259 \u00fc\u00e7\u00fcn, insan t\u0259r\u0259find\u0259n tan\u0131ma zaman\u0131 s\u0259hv s\u0259viyy\u0259si <noindex><a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/pdf\/1412.5567v1.pdf\">qiym\u0259tl\u0259ndirilir<\/a><\/noindex> 5.83%-\u0259.<\/p>\n<p>DeepSpeech iki \u0259sas alt sistemd\u0259n ibar\u0259tdir - akustik model v\u0259 dekoder. Akustik model, daxil olan s\u0259sd\u0259 m\u00fc\u0259yy\u0259n simvollar\u0131n m\u00f6vcudluq ehtimal\u0131n\u0131 hesablamak \u00fc\u00e7\u00fcn d\u0259rin ma\u015f\u0131n \u00f6yr\u0259nm\u0259 metodlar\u0131ndan istifad\u0259 edir. Dekoder is\u0259 simvollar\u0131n ehtimal m\u0259lumatlar\u0131n\u0131 m\u0259tn t\u0259qdimat\u0131na \u00e7evirm\u0259k \u00fc\u00e7\u00fcn \u015f\u00fca axtar\u0131\u015f alqoritmind\u0259n yararlan\u0131r.<\/p>\n<p>\u018fsas <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/releases\/v0.6.0\">yeni x\u00fcsusiyy\u0259tl\u0259r<\/a><\/noindex> DeepSpeech 0.6 (0.6 versiyas\u0131 \u0259vv\u0259lki burax\u0131l\u0131\u015flarla uy\u011fun deyil v\u0259 kod v\u0259 modell\u0259rin yenil\u0259nm\u0259sini t\u0259l\u0259b edir):<\/p>\n<ul>\n<li class=\"l\"> Yeni ax\u0131n dekoderd\u0259 daha y\u00fcks\u0259k reaksiyan\u0131 t\u0259min ed\u0259n v\u0259 emal olunan s\u0259s m\u0259lumatlar\u0131n\u0131n \u00f6l\u00e7\u00fcs\u00fcnd\u0259n as\u0131l\u0131 olmayan bir sistem t\u0259klif edilmi\u015fdir. N\u0259tic\u0259d\u0259, yeni versiya il\u0259 DeepSpeech-in tan\u0131ma gecikm\u0259si 260 ms-\u0259 endirilmi\u015fdir ki, bu da \u0259vv\u0259lkind\u0259n 73% daha s\u00fcr\u0259tlidir v\u0259 DeepSpeech-in canl\u0131 s\u0259s tan\u0131ma h\u0259llind\u0259 t\u0259tbiq edilm\u0259sin\u0259 imkan verir.\n<li class=\"l\"> API-d\u0259 d\u0259yi\u015fiklikl\u0259r edilib v\u0259 funksiyalar\u0131n adlar\u0131n\u0131n standartla\u015fd\u0131r\u0131lmas\u0131 \u00fcz\u0259rind\u0259 i\u015f apar\u0131l\u0131b. \u0130stifad\u0259\u00e7il\u0259r\u0259 yaln\u0131z m\u0259tn t\u0259qdim etm\u0259kl\u0259 qalmay\u0131b, eyni zamanda, ayr\u0131 simvollar\u0131n v\u0259 c\u00fcml\u0259l\u0259rin s\u0259s ax\u0131n\u0131ndak\u0131 m\u00f6vqeyi il\u0259 ba\u011fl\u0131 m\u0259lumatlar\u0131 izl\u0259m\u0259k imkan\u0131 ver\u0259n \u0259lav\u0259 metadata \u0259ld\u0259 etm\u0259y\u0259 imkan ver\u0259n funksiyalar \u0259lav\u0259 olunmu\u015fdur.\n<li class=\"l\"> T\u0259lim modullar\u0131 \u00fc\u00e7\u00fcn al\u0259t d\u0259stin\u0259 <noindex><a rel=\"nofollow\" href=\"https:\/\/developer.nvidia.com\/cudnn\">CuDNN<\/a><\/noindex> kitabxanas\u0131n\u0131n istifad\u0259sini d\u0259st\u0259kl\u0259m\u0259yi \u0259lav\u0259 ed\u0259r\u0259k, T\u0259nziml\u0259n\u0259n Neyron \u015e\u0259b\u0259k\u0259l\u0259r (RNN) il\u0259 i\u015f zaman\u0131 modelin t\u0259lim performans\u0131n\u0131, t\u0259xmin\u0259n iki d\u0259f\u0259 art\u0131rma\u011fa Nail olmas\u0131na, lakin \u00f6nc\u0259ki modell\u0259rl\u0259 uy\u011funlu\u011fu pozan kod d\u0259yi\u015fikl\u0259rini t\u0259l\u0259b edir.\n<li class=\"l\"> TensorFlow-un minimal versiya t\u0259l\u0259bl\u0259ri 1.13.1-d\u0259n 1.14.0-a y\u00fcks\u0259ldilmi\u015fdir. TensorFlow Lite y\u00fcng\u00fcl versiyas\u0131n\u0131 d\u0259st\u0259kl\u0259m\u0259yi \u0259lav\u0259 ed\u0259r\u0259k, DeepSpeech paketinin \u00f6l\u00e7\u00fcs\u00fcn\u00fc 98 MB-dan 3.7 MB-a q\u0259d\u0259r azaltm\u0131\u015fd\u0131r. 188 MB-dan 47 MB-a q\u0259d\u0259r olan model fayl\u0131n\u0131n s\u0131x\u0131lmas\u0131, modelin t\u0259limi ba\u015fa \u00e7atd\u0131qdan sonra kvantla\u015fd\u0131rma metodundan istifad\u0259 il\u0259 h\u0259yata ke\u00e7irilmi\u015fdir.\n<li class=\"l\"> Dilli model f\u0259rqli m\u0259lumat strukturu format\u0131na ke\u00e7irilib ki, bu da y\u00fckl\u0259m\u0259 zaman\u0131 fayllar\u0131n yadda\u015fa x\u0259rit\u0259sini \u00e7\u0131xarma\u011fa imkan verir. K\u00f6hn\u0259 format\u0131n d\u0259st\u0259yi dayand\u0131r\u0131l\u0131b.\n<li class=\"l\"> Dilli model fayl\u0131n\u0131 y\u00fckl\u0259m\u0259k rejimi d\u0259yi\u015fdirilmi\u015fdir ki, bu da yadda\u015f istehlak\u0131n\u0131 azaltma\u011fa v\u0259 model yarad\u0131ld\u0131qdan sonra ilk sor\u011fu i\u015fl\u0259y\u0259nd\u0259 gecikm\u0259l\u0259ri azaltma\u011fa imkan vermi\u015fdir. DeepSpeech i\u015fl\u0259diyi zaman indi 22 d\u0259f\u0259 daha az yadda\u015f istehlak\u0131 edir v\u0259 500 d\u0259f\u0259 daha s\u00fcr\u0259tli ba\u015flad\u0131l\u0131r.\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/2r4s9p1yi1fa2jd7j43zph8r-wpengine.netdna-ssl.com\/files\/2019\/11\/startup_memory-1.png\"><img decoding=\"async\" alt=\"Mozilla \u015firk\u0259ti DeepSpeech 0.6 s\u0259s tan\u0131ma m\u00fch\u0259rrikini t\u0259qdim etdi\" src=\"\/wp-content\/uploads\/2019\/12\/113ef11374da37383391cc886c488741.png\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<li class=\"l\"> Dilli modeld\u0259 nadir s\u00f6zl\u0259rin filtr\u0259si apar\u0131l\u0131b. \u00dcmumilikd\u0259, modelin t\u0259limind\u0259 istifad\u0259 olunan m\u0259tnl\u0259rd\u0259 rastlanan \u0259n populyar 500 min s\u00f6z\u0259 q\u0259d\u0259r say azald\u0131lm\u0131\u015fd\u0131r. Apar\u0131lan t\u0259mizl\u0259m\u0259 dilli modelin \u00f6l\u00e7\u00fcs\u00fcn\u00fc 1800MB-dan 900MB-a endir\u0259r\u0259k, tan\u0131ma s\u0259hvl\u0259ri g\u00f6st\u0259ricil\u0259rin\u0259 praktiki m\u0259nada t\u0259sir etm\u0259mi\u015fdir.\n<li class=\"l\"> M\u00fcxt\u0259lif <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/commit\/58fdd55eea951dabd91a1158207f2228d745e657\">texnikalar\u0131n d\u0259st\u0259yi \u0259lav\u0259 olunmu\u015fdur<\/a><\/noindex> s\u0259s m\u0259lumatlar\u0131n\u0131n \u0259lav\u0259 variantlar\u0131n\u0131n (augmentation) yarad\u0131lmas\u0131, hans\u0131lar ki, t\u0259lim zaman\u0131 istifad\u0259 olunur (m\u0259s\u0259l\u0259n, variants d\u0259stin\u0259 t\u0259hrifl\u0259r v\u0259 ya s\u0259s-k\u00fcyl\u0259r \u0259lav\u0259 etm\u0259k).\n<li class=\"l\"> Platforma .NET \u0259sasl\u0131 t\u0259tbiql\u0259rl\u0259 inteqrasiya \u00fc\u00e7\u00fcn ba\u011flay\u0131c\u0131lar\u0131 olan bir kitabxana \u0259lav\u0259 edilmi\u015fdir.\n<li class=\"l\"> Art\u0131q ayr\u0131ca bir saytda toplanm\u0131\u015f olan s\u0259n\u0259d haz\u0131rlanm\u0131\u015fd\u0131r. <noindex><a rel=\"nofollow\" href=\"https:\/\/deepspeech.readthedocs.io\/en\/latest\">deepspeech.readthedocs.io<\/a><\/noindex>.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>M\u0259nb\u0259: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51991\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u043c\u043e\u0433\u043e \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 Mozilla \u0434\u0432\u0438\u0436\u043a\u0430 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0440\u0435\u0447\u0438 DeepSpeech 0.6, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u0435\u0442 \u043e\u0434\u043d\u043e\u0438\u043c\u0451\u043d\u043d\u0443\u044e \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0443 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0440\u0435\u0447\u0438, \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u043d\u0443\u044e \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044f\u043c\u0438 \u0438\u0437 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 Baidu. \u0420\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0430 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f TensorFlow \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u0439 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MPL 2.0. \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0440\u0430\u0431\u043e\u0442\u0430 \u0432 Linux, Android, macOS \u0438 Windows. \u041f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0434\u0432\u0438\u0436\u043a\u0430 \u043d\u0430 \u043f\u043b\u0430\u0442\u0430\u0445 LePotato, [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":53723,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-53722","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u043c\u043e\u0433\u043e \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 Mozilla \u0434\u0432\u0438\u0436\u043a\u0430 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0440\u0435\u0447\u0438\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta 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