HAGAHA Audio AI

Wav2Letter Convolutional ASR

Wav2Letter waa habka aqoonsiga hadalka ee dhamaadka-ilaa-dhamaadka ah ee ka socda Facebook AI kaas oo isticmaalay kaliya shabakadaha neerfaha ee kacaanka, oo aan soo noqnoqoneynin.

2 daqiiqo akhriMarkii u dambaysay ee la cusbooneysiiyay

Dulmar

It mattered as a fast, simple alternative that proved CNNs alone could transcribe speech competitively.

quusid qoto dheer

Waxaa soo bandhigay Facebook AI Research 2016, Wav2Letter wuxuu ka jabay hababka soo noqnoqda ee soo noqnoqda iyo HMM-ku-saleysan isagoo gebi ahaanba ku tiirsan shabakadaha neerfayaasha ee isbeddelka si ay si toos ah u sawiraan maqalka jilayaasha (xarafyada), markaa magaca. Waxay asal ahaan ku tababartay luminta AutoSegCriterion (ASG), beddelka fudud ee khasaaraha CTC ee caadiga ah ee hoos u dhigay calaamadda bannaan iyo qaab beddelka xarfaha tooska ah. Waxaa lagu qoray C++ iyadoo la adeegsanayo Flashlight/ArrayFire backend, waxaa loogu talagalay xawaaraha CPU iyo GPU labadaba. Noocyadii dambe, Wav2Letter++ iyo kala duwanaanshiyaha dhammaystiran ee isbedbeddelka ah, ayaa la miisaamay xog-ururin weyn oo lagu gaadhay heerar khaladaad kelmad tartan ah oo ku saabsan Librispeech. Nashqaddeeda-ka-soo-kabashada-keliya ayaa ka dhigtay mid si heersare ah loo barbar-dhigi karo oo saaxiibtinimo-saaxiibtinimo ah marka la barbar dhigo qalabka isku-xigta ee RNN.

Aragtida Farsamada

Wav2Letter waxay ku urursan tahay 1D isku-dhafan ku-meel-gaar ah oo ku saabsan sifooyinka dhawaaqa, iyada oo lakab kastaa uu ballaarinayo goobta soo dhaweynta si ay xirmooyinka qoto dheer u qabtaan macnaha dheer iyada oo aan soo noqnoqon. Sababtoo ah isku dhacyadu waxay u habeeyaan dhammaan talaabooyinka waqti isku mid ah, tababarka iyo ka-fiirsashadu waa dhakhso. Luminta ASG-ga asalka ah waxay la mid tahay CTC laakiin waxay ka saartaa calaamadda bannaan oo waxay ku daraysaa buundooyinka kala-guurka ee xaraf-u-kala-guurka cad, taasoo soo saarta jaangooyo isku xigxig oo dhammaystiran oo kala duwanaan kara kaasoo toosiya codka dhererka doorsoomaya iyo soo-saarka jilaha iyada oo aan lahayn calaamado-frame kasta.

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 Wav2Letter Convolutional ASR

Nasabka tooska ah ee Wav2Letter wuxuu ku dhex nool yahay Tooshka, Maktabadda barashada mashiinka ee Facebook ee C++, wuxuuna ku wargeliyay moodooyinka is-maamula ee wav2vec ee hadda xukuma. Casharka ballaadhan, in is-beddelka iyo qaab-dhismeedyada isbar-barya-ku-soo-noqoshada ah ay la jaan-qaadi karaan soo-noqnoqoshada, oo si toos ah loogu quudiyo ASR-ku-salaysan beddelka. Filo nidaamyada mustaqbalka si ay u sii wadaan amaahashada Wav2Letter xoogga saaraysa wax ku ool ah, barbar socda, si buuxda u kala duwanaan karo dhuumaha dhamaadka-ilaa-dhamaadka iyada oo la dul saarayo is-horumarin is-horumarineed ee luqadaha kheyraadka hoose.

Dhaqangelinta Adduunka-dhabta ah

Qoraal-waqtiga-dhabta ah halka ay daahsoon-yaraan, isbarbar-dhiggu ka qiimo badan yahay dhowr dhibcood oo sax ah

Aqoonsiga hadalka aaladda ama CPU-ku-xidhan ee aan awoodin inay awoodaan furayaasha culus ee soo noqnoqda

Saldhigyada cilmi-baarista ee isbarbardhigga ASR-ka-ganacsiga ee ka dhanka ah RNN iyo nidaamyada beddelka ee Librispeech

U adeegaya sidii aasaaska injineernimada maktabadda toosh ee Facebook iyo moodooyinka dambe ee wav2vec

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

1

Hel ogolaansho cad oo ku saabsan qabashada codka, xidhitaanka, iyo dib u isticmaalka

2

Tijaabi tayada ku hadasha kala duwan iyo xaaladaha asalka.

3

Qeex marka bani'aadamku ay tahay inuu dib u eego ama oggolaado wax soo saarka.

4

Ku calaamadee codka synthetic oo xafid diiwaannada la-xisaabtanka.

Sii wad Sahaminta

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What is Wav2Letter Convolutional ASR?

Wav2Letter waa habka aqoonsiga hadalka ee dhamaadka-ilaa-dhamaadka ah ee ka socda Facebook AI kaas oo isticmaalay kaliya shabakadaha neerfaha ee kacaanka, oo aan soo noqnoqoneynin. Waxay muhiim u ahayd dhakhso badan, beddel fudud oo caddeeyey in CNN-yada keligood ay u qori karaan hadalka si tartan ah.

Waa maxay qaab-dhismeedka shabakada neerfaha uu Wav2Letter si gaar ah ugu tiirsan yahay?

Wav2Letter waxay caan ku tahay isticmaalka kaliya shabakadaha neerfaha ee isbedbeddelaya, iyada oo laga fogaanayo soo noqoshada gebi ahaanba.

Ururkee markii hore sameeyay Wav2Letter?

Wav2Letter waxaa soo bandhigay Facebook AI Research 2016 ka dibna u xuubsiibtay maktabadda Tooshka.

Waa maxay xarafka 'Wav2Letter' ku jira?

Wav2Letter waxay si toos ah u qaabaysaa mowjadda maqalka ee taxanaha jilayaasha (xarafyada), hab dhammaadka-ilaa-dhamaadka ah.

Sidee buu khasaaraha asalka ah ee AutoSegCriterion (ASG) uga duwan yahay khasaaraha CTC ee caadiga ah?

ASG waxay hoos u dhigtaa calaamada bannaan ee CTC waxayna taa beddelkeeda ku daraysaa buundooyinka kala-guurka cad ee xarfaha iyadoo si buuxda loo kala saari karo.

Waa maxay faa'iidada dhabta ah ee muhiimka ah ee naqshadaynta kaliya ee Wav2Letter?

Si ka duwan RNN-yada isku xigxiga, isugeynta waxaa loo xisaabin karaa isbarbar waqtiga oo dhan, taasoo ka dhigaysa nidaamka mid dhakhso badan oo hufan.