{"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\/sq\/blog\/news\/kompaniya-mozilla-predstavila-dvizhok-raspoznavaniya-rechi-deepspeech-0-6","title":{"rendered":"Kompania Mozilla prezantoi motorin e njohjes s\u00eb z\u00ebrit DeepSpeech 0.6","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\/\">Presented<\/a><\/noindex> l\u00ebshimi i motorit t\u00eb njohjes s\u00eb z\u00ebrit t\u00eb zhvilluar nga kompania Mozilla <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/releases\/v0.6.0\">DeepSpeech 0.6<\/a><\/noindex>, i cili realizon arkitektur\u00ebn e njohjes s\u00eb z\u00ebrit me t\u00eb nj\u00ebjtin em\u00ebr, <noindex><a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/abs\/1412.5567\">t\u00eb propozuar<\/a><\/noindex> nga hulumtuesit e kompanis\u00eb Baidu. Implementimi \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Python duke p\u00ebrdorur platform\u00ebn e t\u00eb m\u00ebsuarit t\u00eb makinerive TensorFlow dhe <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\">shp\u00ebrndahet<\/a><\/noindex> n\u00ebn licenc\u00ebn e lir\u00eb MPL 2.0. Mb\u00ebshtet funksionimin n\u00eb Linux, Android, macOS dhe Windows. Performanca \u00ebsht\u00eb e mjaftueshme p\u00ebr t\u00eb p\u00ebrdorur motorin n\u00eb plakat LePotato, Raspberry Pi 3 dhe Raspberry Pi 4.<\/p>\n<p>N\u00eb paket\u00eb gjithashtu <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/releases\/download\/v0.6.0\/deepspeech-0.6.0-models.tar.gz\">ofrohen<\/a><\/noindex> jan\u00eb modelet e trajnuara, <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/releases\/download\/v0.6.0\/audio-0.6.0.tar.gz\">shembuj<\/a><\/noindex> skedat audio dhe mjetet p\u00ebr njohjen nga linja e komand\u00ebs. P\u00ebr integrimin e funksionit t\u00eb njohjes s\u00eb z\u00ebrit n\u00eb programet tuaja, jan\u00eb ofruar modula t\u00eb gatshme p\u00ebr p\u00ebrdorim p\u00ebr Python, NodeJS, C++ dhe .NET (modulet p\u00ebr <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/RustAudio\/deepspeech-rs\">Rust<\/a><\/noindex> dhe <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/asticode\/go-astideepspeech\">Go<\/a><\/noindex>jan\u00eb p\u00ebrgatitur ve\u00e7mas nga zhvillues t\u00eb tret\u00eb). Modeli i gatsh\u00ebm ofrohet vet\u00ebm p\u00ebr gjuh\u00ebn angleze, por p\u00ebr gjuh\u00ebt e tjera, p\u00ebr <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/wiki#how-can-i-train-using-my-own-data\">dokumentacionin e ofruar<\/a><\/noindex> <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/blob\/master\/TRAINING.rst#common-voice-training-data\">udh\u00ebzimet<\/a><\/noindex> mund t\u00eb m\u00ebsohet sistemi vet\u00eb, duke p\u00ebrdorur <noindex><a rel=\"nofollow\" href=\"https:\/\/voice.mozilla.org\/en\/datasets\">t\u00eb dh\u00ebna vokale<\/a><\/noindex>, t\u00eb mbledhura nga projekti Common Voice. <\/p>\n<p>DeepSpeech \u00ebsht\u00eb ndjesh\u00ebm m\u00eb i thjesht\u00eb se sistemet tradicionale dhe megjithat\u00eb siguron cil\u00ebsi m\u00eb t\u00eb lart\u00eb njohjeje n\u00eb prani t\u00eb zhurmave t\u00eb tjera. N\u00eb zhvillim nuk p\u00ebrdoren modelet tradicionale akustike dhe koncepti i fonemave, por zbatohen nj\u00eb sistem i optimizuar mir\u00eb i t\u00eb m\u00ebsuarit t\u00eb makinerive i bazuar n\u00eb rrjeta neuronale, i cili lejon t\u00eb evitohet zhvillimi i komponenteve t\u00eb ve\u00e7anta p\u00ebr modelimin e devijimeve t\u00eb ndryshme, si zhurma, jehona dhe ve\u00e7orit\u00eb e t\u00eb folurit. <\/p>\n<p>An\u00eb tjet\u00ebr e k\u00ebtij qasje \u00ebsht\u00eb se p\u00ebr t\u00eb marr\u00eb njohje cil\u00ebsore dhe p\u00ebr t\u00eb trajnuar rrjetin neuronal, motori DeepSpeech k\u00ebrkon nj\u00eb sasi t\u00eb madhe t\u00eb dh\u00ebnash t\u00eb ndryshme, t\u00eb diktuara n\u00eb kushte reale nga z\u00ebra t\u00eb ndrysh\u00ebm dhe n\u00eb prani t\u00eb zhurmave natyrore.<br \/>\nMbledhjen e t\u00eb dh\u00ebnave t\u00eb tilla e menaxhon projekti i krijuar n\u00eb Mozilla <noindex><a rel=\"nofollow\" href=\"https:\/\/voice.mozilla.org\/\">Common Voice<\/a><\/noindex>, q\u00eb ofron nj\u00eb set t\u00eb dh\u00ebnash t\u00eb verifikuara me 780 or\u00eb n\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/voice.mozilla.org\/en\/datasets\">gjuh\u00ebn angleze<\/a><\/noindex>, 325 n\u00eb gjermanisht, 173 n\u00eb fr\u00ebngjisht dhe 27 or\u00eb n\u00eb rusisht. <\/p>\n<p>Q\u00ebllimi p\u00ebrfundimtar i projektit Common Voice \u00ebsht\u00eb grumbullimi i 10 mij\u00eb or\u00ebve me regjistrime t\u00eb ndryshme t\u00eb shqiptimeve t\u00eb frazave standarde t\u00eb generuara nga njeriu, q\u00eb do t\u00eb mund\u00ebsoj\u00eb arritjen e nj\u00eb nivele t\u00eb pranueshme t\u00eb gabimeve n\u00eb njohjen e z\u00ebrit. Aktualisht, pjes\u00ebmarr\u00ebsit n\u00eb projekt kan\u00eb regjistruar gjithsej 4.3 mij\u00eb ora, prej t\u00eb cilave 3.5 mij\u00eb kan\u00eb kaluar verifikimin. N\u00eb trajnimin e modelit p\u00ebrfundimtar t\u00eb gjuh\u00ebs angleze p\u00ebr DeepSpeech jan\u00eb p\u00ebrdorur 3816 or\u00eb z\u00ebri, p\u00ebrve\u00e7 Common Voice q\u00eb p\u00ebrfshin t\u00eb dh\u00ebna nga projektet LibriSpeech, Fisher dhe Switchboard, si dhe rreth 1700 or\u00eb regjistrimesh t\u00eb transkriptuara t\u00eb shfaqjeve radiofonike.<\/p>\n<p>Me p\u00ebrdorimin e modelit t\u00eb gatsh\u00ebm p\u00ebr shkarkim p\u00ebr gjuh\u00ebn angleze, niveli i gabimeve t\u00eb njohjes n\u00eb DeepSpeech \u00ebsht\u00eb 7.5% sipas vler\u00ebs\u00ebs s\u00eb setit testues <noindex><a rel=\"nofollow\" href=\"http:\/\/www.openslr.org\/12\/\">LibriSpeech<\/a><\/noindex>. P\u00ebr krahasim, niveli i gabimeve n\u00eb njohjen nga njeriu <noindex><a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/pdf\/1412.5567v1.pdf\">p\u00ebrcaktohet<\/a><\/noindex> n\u00eb 5.83%.<\/p>\n<p>DeepSpeech \u0441\u043e\u0441\u0442\u043e\u0438\u0442 \u0438\u0437 \u0434\u0432\u0443\u0445 \u043f\u043e\u0434\u0441\u0438\u0441\u0442\u0435\u043c &#8212; \u0430\u043a\u0443\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u0438 \u0434\u0435\u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u0430. \u0410\u043a\u0443\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u043c\u0435\u0442\u043e\u0434\u044b \u0433\u043b\u0443\u0431\u0438\u043d\u043d\u043e\u0433\u043e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u0438 \u043d\u0430\u043b\u0438\u0447\u0438\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0451\u043d\u043d\u044b\u0445 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432 \u0432 \u043f\u043e\u0434\u0430\u0432\u0430\u0435\u043c\u043e\u043c \u043d\u0430 \u0432\u0445\u043e\u0434 \u0437\u0432\u0443\u043a\u0435. \u0414\u0435\u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442 \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c \u043b\u0443\u0447\u0435\u0432\u043e\u0433\u043e \u043f\u043e\u0438\u0441\u043a\u0430 \u0434\u043b\u044f \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445 \u043e \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u0438 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432 \u0432 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u043e\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435.<\/p>\n<p>Main <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/releases\/v0.6.0\">innovations<\/a><\/noindex> DeepSpeech 0.6 (dega 0.6 nuk \u00ebsht\u00eb e kompatibilshme me versionet e m\u00ebparshme dhe k\u00ebrkon p\u00ebrdit\u00ebsimin e kodit dhe modeleve):<\/p>\n<ul>\n<li class=\"l\"> \u00cbsht\u00eb propozuar nj\u00eb dekodues i ri n\u00eb rrjedh\u00eb q\u00eb ofron ndjeshm\u00ebri m\u00eb t\u00eb lart\u00eb dhe nuk varet nga madh\u00ebsia e t\u00eb dh\u00ebnave audio q\u00eb p\u00ebrpunohen. Si rezultat, n\u00eb versionin e ri t\u00eb DeepSpeech, \u00ebsht\u00eb arritur t\u00eb zvog\u00eblohet vonesa e njohjes deri n\u00eb 260 ms, q\u00eb \u00ebsht\u00eb 73% m\u00eb e shpejt\u00eb se m\u00eb par\u00eb, dhe lejon p\u00ebrdorimin e DeepSpeech n\u00eb zgjidhje p\u00ebr njohjen e z\u00ebrit n\u00eb koh\u00eb reale.\n<li class=\"l\"> Jan\u00eb b\u00ebr\u00eb ndryshime n\u00eb API dhe \u00ebsht\u00eb punuar p\u00ebr unifikimin e emrave t\u00eb funksioneve. Jan\u00eb shtuar funksione p\u00ebr t\u00eb marr\u00eb metadatat shtes\u00eb mbi sinkronizimin, duke e lejuar jo vet\u00ebm q\u00eb t\u00eb merrni nj\u00eb p\u00ebrfaq\u00ebsim tekstual n\u00eb dalje, por gjithashtu t\u00eb ndihmoni n\u00eb ndjekjen e lidhjes s\u00eb simboleve dhe fjali me pozitat n\u00eb fluksin audio.\n<li class=\"l\"> Nj\u00eb mb\u00ebshtetje p\u00ebr p\u00ebrdorimin e biblioteka <noindex><a rel=\"nofollow\" href=\"https:\/\/developer.nvidia.com\/cudnn\">CuDNN<\/a><\/noindex> p\u00ebr optimizimin e pun\u00ebs me rrjetet neurale rekursive (RNN), gj\u00eb q\u00eb leht\u00ebsoi arritjen e nj\u00eb rritjeje t\u00eb dukshme (af\u00ebrsisht dyfish) t\u00eb eficienc\u00ebs s\u00eb trajnimit t\u00eb modelit, por k\u00ebrkoi ndryshime n\u00eb kod q\u00eb d\u00ebmtonin kompatibilitetin me modelet e p\u00ebrgatitura m\u00eb her\u00ebt.\n<li class=\"l\"> K\u00ebrkesat minimale p\u00ebr versionin e TensorFlow jan\u00eb rritur nga 1.13.1 n\u00eb 1.14.0. Shtohet mb\u00ebshtetje p\u00ebr edicionin e leht\u00eb TensorFlow Lite, e cila, duke u p\u00ebrdorur, ka ulur madh\u00ebsin\u00eb e paket\u00ebs DeepSpeech nga 98 MB n\u00eb 3.7 MB. P\u00ebr p\u00ebrdorimin n\u00eb pajisje t\u00eb integruara dhe mobile, madh\u00ebsia e skedarit t\u00eb paketuar me modelin \u00ebsht\u00eb reduktuar gjithashtu nga 188 MB n\u00eb 47 MB (metoda e kvantizimit \u00ebsht\u00eb p\u00ebrdorur pas p\u00ebrfundimit t\u00eb trajnimit t\u00eb modelit).\n<li class=\"l\"> Modeli gjuh\u00ebsor \u00ebsht\u00eb transferuar n\u00eb nj\u00eb format tjet\u00ebr t\u00eb strukturave t\u00eb dh\u00ebnash, q\u00eb lejon realizimin e mapimit t\u00eb skedar\u00ebve n\u00eb memorje gjat\u00eb ngarkimit. Mb\u00ebshtetje p\u00ebr formatin e vjet\u00ebr \u00ebsht\u00eb ndalur.\n<li class=\"l\"> Kushti i ngarkes\u00ebs s\u00eb skedarit me modelin gjuh\u00ebsor \u00ebsht\u00eb ndryshuar, duke leht\u00ebsuar konsumimin e memories dhe duke reduktuar vonesat gjat\u00eb p\u00ebrpunimit t\u00eb k\u00ebrkes\u00ebs s\u00eb par\u00eb pas krijimit t\u00eb modelit. Gjat\u00eb funksionimit, DeepSpeech tani konsumon 22 her\u00eb m\u00eb pak memorie dhe niset 500 her\u00eb m\u00eb shpejt.\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=\"Kompania Mozilla prezantoi motorin e njohjes s\u00eb z\u00ebrit DeepSpeech 0.6\" src=\"\/wp-content\/uploads\/2019\/12\/113ef11374da37383391cc886c488741.png\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<li class=\"l\"> \u00cbsht\u00eb b\u00ebr\u00eb filtrimi i fjal\u00ebve t\u00eb rralla n\u00eb modelin gjuh\u00ebsor. Numri total i fjal\u00ebve \u00ebsht\u00eb reduktuar n\u00eb 500 mij\u00eb fjal\u00ebt m\u00eb t\u00eb njohura, q\u00eb hasen n\u00eb tekstin e p\u00ebrdorur p\u00ebr trajnimin e modelit. Pas pastrimit t\u00eb kryer, madh\u00ebsia e modelit gjuh\u00ebsor \u00ebsht\u00eb ulur nga 1800MB n\u00eb 900MB, duke mos ndikuar pothuajse fare n\u00eb treguesit e nivelit t\u00eb gabimeve n\u00eb njohjen.\n<li class=\"l\"> Shtohet mb\u00ebshtetje p\u00ebr teknika t\u00eb ndryshme <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/mozilla\/DeepSpeech\/commit\/58fdd55eea951dabd91a1158207f2228d745e657\">t\u00eb krijimit t\u00eb variacioneve shtes\u00eb (augmentation) t\u00eb t\u00eb dh\u00ebnave audio, q\u00eb p\u00ebrdoren gjat\u00eb trajnimit (p\u00ebr shembull, duke shtuar nj\u00eb grup variantesh, t\u00eb cilat kan\u00eb p\u00ebrfshir\u00eb deformacione ose zhurma).<\/a><\/noindex> Shtohet nj\u00eb bibliotek\u00eb me binde p\u00ebr integrimin me aplikacionet mbi platform\u00ebn .NET.\n<li class=\"l\"> Dokumentacioni \u00ebsht\u00eb rishikuar dhe tani \u00ebsht\u00eb i mbledhur n\u00eb nj\u00eb faqe t\u00eb ve\u00e7ant\u00eb\n<li class=\"l\"> deepspeech.readthedocs.io <noindex><a rel=\"nofollow\" href=\"https:\/\/deepspeech.readthedocs.io\/en\/latest\">Konfigurimi i rrjetit t\u00eb sht\u00ebpis\u00eb + NAS n\u00eb unRAID (pjesa 2)<\/a><\/noindex>.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Burimi: <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, 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