Résumé
Wav2Letter sistem la buy xàmmee kàddu yi bawoo ci Facebook IA, muy jëfandikoo reso neuronal yu konvolusioŋ rek, du am luñu koy baamtu. Dafa am solo ni ap pexe bu gaaw te yomb buy firndeel ni CNNs kese ñoo mëna bind kàddu yi ci anam wu xarañ.
Wav2Letter Convolutional ASR mingi toog ci biir liggéeyu audio-IA biy soppi kàddu, music, ak son ngir jokkoo, yombal jëfandikoo gi, ak defar mejaa yi.
Plongeur bu xóot
Facebook AI Research moo ko dugal ci atum 2016, Wav2Letter génne na ci anam yu bari yu ñuy baamtu ak yu lalu ci HMM ndax dafa wéeru ci reso neuronal convolutionnel ngir mëna xayma audio bi ci araf yi (araf yi), moo tax ñu tuddee ko. Bi ñu koy njëkka tàggat, dafa am AutoSegCriterion (ASG) buy ñàkk, muy anam wu gëna yomba wuutale ñàkk CTC bi gëna bari, bi daaneel màndarga bu amul dara, ba noppi modele arafu jaar-jaar yi ci saasi. Ñu ngi ko bind ci C++ ci backend Flashlight/ArrayFire, ñu defaree ko ngir gaawaay ci CPU ak GPU yépp. Version yi ci topp, Wav2Letter++ ak xeetu convolution bi mat sëkk, dañu leen yokk ba ci ay done yu bari, ñu am njuumte yu bari ci Librispeech. Design bimu am ci convolution rekk moo tax mu mëna parallélisé bu baax te neexa def inference buñu ko méngale ak decodeur RNN yu toppalante.
Gis-gis xarala
Wav2Letter dafay jël ay convolution temporale 1D ci kaw man-mani akustik yi, ak layer bu nekk di yaatal barab biy jot, suko defee ay piye yu xóot yi di jàpp contexte bu yàgg te duñu dellu. Ndax convolution yi dañuy def jéego yépp ci paralel, tàggat ak inference dañu gaaw. ASG perte bi njëkk mingi nuru CTC waaye dindi token bu amul dara ba noppi yokk poñ yu leer ci araf-ci-araf, defar benn xeetu toppalante bu mat sëkk buy méngale audio bu am guddaay bu mën soppiku ak génnug araf te amul etiketu kaadar bu nekk.
xam ASR buy boole arafu Wav2
Wav2Letter sistem la buy xàmmee kàddu yi bawoo ci Facebook IA, muy jëfandikoo reso neuronal yu konvolusioŋ rek, du am luñu koy baamtu. Dafa am solo ni ap pexe bu gaaw te yomb buy firndeel ni CNNs kese ñoo mëna bind kàddu yi ci anam wu xarañ. Wav2Letter Convolutional ASR mingi toog ci biir liggéeyu audio-IA biy soppi kàddu, music, ak son ngir jokkoo, yombal jëfandikoo gi, ak defar mejaa yi. Ngir tabax xam-xam bu xóot, jàppal Wav2Letter Convolutional ASR ni xeetu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeral xalaat yi, ba noppi tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo Wav2Letter Convolutional ASR dañuy jàppee kalite, yeexal, ak nangu ni cër yu am solo ci pexem dugal. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Dafay gëna yombal jëfandikoo gi jaaraleko ci transkripsioŋ, nettali ak interfaasu baat. Ci jamano jooju, risku jëfandikoo Baat bu baaxul ak niru ak nit dafay gëna yokk sudee nanguwul. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Dafay gëna yombal jëfandikoo gi jaaraleko ci transkripsioŋ, nettali ak interfaasu baat.
Dafay gëna yombal jëfandikoo gi jaaraleko ci transkripsioŋ, nettali ak interfaasu baat. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Ekipu mejaa yi mën nañu yónnee audio bu leer ci anam wu gëna gaaw te seen xaalis gëna néew.
Ekipu mejaa yi mën nañu yónnee audio bu leer ci anam wu gëna gaaw te seen xaalis gëna néew. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Sistem yiy jàkkarloo ak kiliyaan bi mën nañu def waxtaan ci anam wu gëna yaatu.
Sistem yiy jàkkarloo ak kiliyaan bi mën nañu def waxtaan ci anam wu gëna yaatu. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
Transkripsioŋ ci jamono dëgg, fu latency bu néew, inference paralel moo gëna am solo ay poñ yu néew ci njub
Xamme kàddu yiñ tënk ci aparey bi wala ci CPU bi mënul jënd dekodeer yu diis yuy baamtu
Gëstu buy méngale ASR ak RNN ak sistem transformatër ci Librispeech
Dafay nekk fondasioŋ ingenieur ngir bibliotek Torsh bu Facebook ak model wav2vec yu ci topp
Modèlu jëfandikoo
Wav2Letter ASR buy boole ci jëf
Transkripsioŋ ci jamono dëgg, fu latency bu woyof, inference paralel moo gëna am solo ay poñ yu néew ci njub.
Transcription ci jamono dëgg, fu latency bu woyof, inference parallel moo gëna am solo ay poñ yu néew ci njub. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Wav2Letter ASR buy boole ci jëf
Xamme kàddu yiñ tënk ci aparey bi wala ci CPU bi mënul jënd dekodeer yu diis yuy baaxoo.
Ci aparey bi wala CPU-bound wax xàmmee bu mënu am decodeur yu diis yu bari Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee thresholds yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Wav2Letter ASR buy boole ci jëf
Gëstub liggéey buy méngale ASR ak RNN ak sistem transformatër ci Librispeech.
Gëstub baselines buy méngale ASR convolutionnel ak RNN ak sistem transformateur ci Librispeech Teams dañuy faral di am njariñ yu gëna baax suñu leeralee kalite ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Wav2Letter ASR buy boole ci jëf
Dafay nekk fondasioŋ ingenieur ci bibliotek Torsh bu Facebook ak model wav2vec yu ci topp.
Liggéey ni fondaasioŋ ingenieur ngir bibliotek Flashlight bu Facebook ak model wav2vec yu ci topp Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee ay threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit yi ak njëgu njuumte yi ci diir bu gàtt.
Risk yi ak balustrade yi
Jëfandikoo baat ci anam wu jaarul yoon ak niru ak nit dafay gëna yokk sudee nanguwul.
Jaar-jaar mën na wàññeeku ci aksan yi, dialect yi wala barab yu bari xumbaay.
Audio synthetik mën nañu ko jaawale ak wax ju dëggu sudee amul etiket bu leer.
Roadmap ngir samp gi
Wutal ndigal bu leer ngir jàpp baat bi, klone ko ak jëfandikoowaat ko.
Wutal ndigal bu leer ngir jàpp baat bi, klone ko ak jëfandikoowaat ko. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Saytu kalite ci kàddukat yu bari ak anam yu bari ci ginaaw.
Saytu kalite ci kàddukat yu bari ak anam yu bari ci ginaaw. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Mandargal kañ la nit wara xoolaat wala nangu ay génne.
Mandargal kañ la nit wara xoolaat wala nangu ay génne. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Etiketu audio synthetik te nga denc dokimaa ci fimu bawoo ngir mëna lim.
Etiketu audio synthetik te nga denc dokimaa ci fimu bawoo ngir mëna lim. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.