Jasper iyo QuartzNet ASR
Jasper iyo QuartzNet waa NVIDIA dhamaadka-ilaa-dhamaadka moodooyinka aqoonsiga hadalka ee kacaanka ah, iyadoo QuartzNet ay tahay mid aad u yar, dib-u-qaabayn hufan oo Jasper ah.
Dulmar
They matter for showing how to get strong accuracy with far fewer parameters, ideal for deployment.
quusid qoto dheer
Jasper (Kaliya Aqoonta Hadalka Kale), oo ay sii daysay NVIDIA 2019, waa shabakad qotodheer oo 1D ah, ilaa 54 lakab, kaas oo khariidadaha mel-spectrogram u dhigaya jilayaasha isticmaalaya khasaaraha CTC. Waxay soo bandhigtay isku-xirno cufan oo haraaga ah si gradients-ku si nadiif ah ugu qulqulaan xirmooyin aad u qoto dheer. QuartzNet, oo la sii daayay isla sanadkaas, waxay ilaalisay qaab dhismeedka Jasper laakiin waxay ku beddeshay convolutions caadiga ah oo leh waqti-channel convolutions kala saari kara, u kala qaybin shaandhayn kasta oo u kala qaybsanaan ku meel gaar ah oo qoto dheer iyo tallaabo isku darka kanaalka qumman. Wax-soo-saarkan ayaa hoos u dhigay cabirrada Jasper ee ku dhawaad 333 milyan ilaa ku dhawaad 19 milyan iyada oo la mid ah saxnaanta Librispeech. Labada markab ee NVIDIA's NeMo Toolkit waxaana loo habeeyey tababbarka degdegga ah ee GPU-ga iyo soo-jeedinta waqtiga-dhabta ah, taasoo ka dhigaysa dhismooyin caan ah oo wax soo saar leh ASR.
Aragtida Farsamada
Waxtarka QuartzNet wuxuu ka yimaadaa kanaalka waqtiga-waqtiga isku-dhafan, fikrad la mid ah ayaa ka dambeysa MobileNet. Isku-dhafka caadiga ah ee 1D wuxuu isku daraa wakhtiga iyo kanaalada, qiimihiisu K times C-in waqtiyada C-baxyada miisaannada. U kala soocida is-dhexgal qotodheer oo qoto dheer oo waqti ah oo lagu daray 1x1 iskudhafan dhanka kanaalada ah waxay yaraynaysaa qiyaasaha K times C iyo C-in times C-out. Isku duuban baloogyada haraaga ah oo lagu tababaray CTC, tani waxay siinaysaa saxnaanta Jasper ee u dhow qayb yar oo ka mid ah cabbirka qaabka iyo xisaabinta.
Saamaynta Istiraatijiyadeed
Helitaanka iyo gaarsiinta
Waxay wanaajisaa marin u helida iyada oo loo marayo qoraal-qorid, sheeko, iyo is-dhexgalyo cod.
Qiimaha iyo miisaaniyada
Kooxaha warbaahintu waxay ku soo rari karaan codka sifaysan si degdeg ah iyagoo wata miisaaniyado yaryar.
Xawaaraha iyo miisaanka
Nidaamyada u jeedda macmiisha waxay ka baaraandegi karaan isdhexgalka hadalka si weyn.
Mustaqbalka Jasper iyo QuartzNet ASR
QuartzNet's line-convolution lineage si toos ah u horseeday NVIDIA's Citrinet iyo moodooyinka Conformer-ka ee aadka loo isticmaalo, kuwaas oo ku dara is-fiirsi si ay u qabtaan macnaha guud ee caalamiga ah iyada oo ay weheliso iskudhacyada maxalliga ah. Filo dhaqdhaqaaqa sii socda ee ku wajahan convolution-ka iyo qaab-dhismeedyada fiiro gaar ah iyo beddelayaasha (RNN-T) ee baahinta. Casharka udub-dhexaadka u ah, isbedbeddelka waxtarka leh ee cidhifka iyo geynta-waqtiga-dhabta ah, ayaa weli udub dhexaad u ah marka ASR ay ku riixdo taleefannada, baabuurta, iyo aaladaha ku xidhan.
Dhaqangelinta Adduunka-dhabta ah
Qoraal-waqtiga-dhabta ah iyo caawiyayaasha codka ayaa la geeyay NVIDIA GPU-yada iyada oo loo sii marayo qalabka NeMo
Cidhif iyo gundhig ASR halkaas oo raadka yar ee QuartzNet ay ku habboon tahay aaladaha xusuusta xaddidan
Isbaarooyinka QuartzNet ee hore loo tababaray ee si fiican loo habeeyey ee erayo gaar ah oo domain ah sida ereyo caafimaad ama sharci
Falanqaynta xarunta wicitaanka oo si dhakhso leh oo kharash-ool leh u qoraya tiro badan oo maqal ah
Khatarta & Dariiqyada Ilaalada
Si xun u isticmaalka codka iyo khataraha is-yeelyeelku way kordhaan marka oggolaanshaha la waayo.
Saxnimadu waxay hoos ugu dhici kartaa lahjadaha, lahjadaha, ama jawiga buuqa badan.
Maqalka synthetic waxaa lagu khaldi karaa hadal dhab ah iyada oo aan si cad loo calaamadin.
Qorshe Hawleedka Dhaqangelinta
Hel ogolaansho cad oo ku saabsan qabashada codka, xidhitaanka, iyo dib u isticmaalka
Tijaabi tayada ku hadasha kala duwan iyo xaaladaha asalka.
Qeex marka bani'aadamku ay tahay inuu dib u eego ama oggolaado wax soo saarka.
Ku calaamadee codka synthetic oo xafid diiwaannada la-xisaabtanka.
Sii wad Sahaminta
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Wav2Letter Convolutional ASR
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What is Jasper and QuartzNet ASR?
Jasper iyo QuartzNet waa NVIDIA dhamaadka-ilaa-dhamaadka moodooyinka aqoonsiga hadalka ee kacaanka ah, iyadoo QuartzNet ay tahay mid aad u yar, dib-u-qaabayn hufan oo Jasper ah. Waxay muhiim u yihiin inay muujiyaan sida loo helo saxsanaan adag oo leh cabbirro aad uga yar, oo ku habboon in la diro.
Hal-abuur noocee ah ayaa u oggolaanaya QuartzNet inay isticmaasho cabbirro aad uga yar kuwa Jasper?
QuartzNet waxay ku beddeshaa isbedbeddelka caadiga ah ee kanaalka-wakhti-waqtiga isdhaafsiga, iyadoo si aad ah u jaraysa tirinta cabbirka iyadoo la ilaalinayo saxnaanta.
Qiyaastii imisa xuduudood ayay QuartzNet leedahay marka la barbar dhigo 333 milyan ee Jasper?
QuartzNet waxa ay hoos ugu dhacaysaa ku dhawaad 19 milyan oo cabbir, oo ku saabsan hoos u dhac 17x ah, iyada oo la mid ah saxnaanta Jasper's Librispeech.
Shirkaddee soo saartay Jasper iyo QuartzNet?
Labada noocba waxaa soo saaray NVIDIA waxaana lagu qaybiyaa qalabkeeda NeMo talkal AI.
Waa maxay shaqada khasaaraha ay isticmaalaan Jasper iyo QuartzNet si ay u tababbaraan iyada oo aan si cad loo toosin?
Labaduba waxay isticmaalaan khasaaraha CTC, kaas oo ku toosiya maqalka dhererka doorsoomiyaha iyo taxanaha jilayaasha iyada oo aan loo baahnayn calaamado-jir kasta.
Qaabkee qaabdhismeedkee ah ayaa caawiya gradients in ay dhex maraan shabakada aadka u qoto dheer ee Jasper (ilaa 54-lakab)?
Jasper waxay isticmaashaa isku xidhka haraaga cufan (ka boodi) si ay gradients-ku ugu faafiyaan si nadiif ah iyada oo loo marayo xidhmooyinkeeda kacaanka ee qoto dheer.