Uhlolojikelele
I-Wav2Letter iwuhlelo lokuqaphela inkulumo kusukela ekupheleni ukuya ekupheleni oluvela ku-Facebook AI olusebenzise kuphela amanethiwekhi e-convolutional neural, akukho ukuphindeka. Bekubalulekile njengendlela esheshayo, elula efakazele ukuthi ama-CNN ewodwa angabhala inkulumo ngokuncintisana.
I-Wav2Letter Convolutional ASR ihlezi ku-audio-AI workflows eguqula inkulumo, umculo, nomsindo wokuxhumana, ukufinyeleleka, nokukhiqizwa kwemidiya.
I-Deep Dive
Yethulwe yi-Facebook AI Research ngo-2016, i-Wav2Letter yaphuma ezindleleni ezihamba phambili eziphindelelayo nezisekelwe ku-HMM ngokuthembela ngokuphelele kumanethiwekhi e-convolutional neural ukuze kumephu umsindo ngokuqondile kubalingiswa (izinhlamvu), yingakho igama. Ekuqaleni iqeqeshwe ngokulahlekelwa ngokwezifiso kwe-AutoSegCriterion (ASG), enye indlela elula yokulahlekelwa okuvame kakhulu kwe-CTC elahle uphawu olungenalutho kanye nokuguqulwa kohlamvu oluyimodeli ngokuqondile. Ibhalwe ngo-C++ kusetshenziswa i-Flashlight/ArrayFire backend, yakhelwe isivinini kukho kokubili i-CPU ne-GPU. Izinguqulo zakamuva, i-Wav2Letter++ kanye nokwahluka okuguqulwa ngokugcwele, kukalwe kumasethi edatha amakhulu futhi kwafinyelelwa kumazinga amaphutha wamagama aqhudelanayo ku-Librispeech. Idizayini yayo ye-convolution kuphela iyenze yafana kakhulu futhi yasebenziseka kalula uma iqhathaniswa namadekhoda e-RNN alandelanayo.
I-Technical Insight
I-Wav2Letter inqwabelanisa i-1D temporal convolutions ngaphezu kwezici ze-acoustic, isendlalelo ngasinye esinweba inkambu yokwamukela ukuze izitaki ezijulile zithwebule umongo omude ngaphandle kokuphinda. Ngoba ama-convolutions acubungula zonke izinyathelo zesikhathi ngokuhambisana, ukuqeqeshwa kanye nencazelo kuyashesha. Ukulahlekelwa kwe-ASG yasekuqaleni kufana ne-CTC kodwa kususa ithokheni engenalutho futhi kwengeze amaphuzu okuguqulwa kohlamvu kuya ohlamvu olusobala, okukhiqiza umbandela wokulandelana ohlukaniseka ngokugcwele oqondanisa ubude obuguquguqukayo bokuphuma kohlamvu ngaphandle kwamalebula ozimele ngamunye.
I-Mastering Wav2Letter Convolutional ASR
I-Wav2Letter iwuhlelo lokuqaphela inkulumo kusukela ekupheleni ukuya ekupheleni oluvela ku-Facebook AI olusebenzise kuphela amanethiwekhi e-convolutional neural, akukho ukuphindeka. Bekubalulekile njengendlela esheshayo, elula efakazele ukuthi ama-CNN ewodwa angabhala inkulumo ngokuncintisana. I-Wav2Letter Convolutional ASR ihlezi ku-audio-AI workflows eguqula inkulumo, umculo, nomsindo wokuxhumana, ukufinyeleleka, nokukhiqizwa kwemidiya. Ukuze wakhe ukuqonda okujulile, phatha i-Wav2Letter Convolutional ASR njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Wav2Letter Convolutional ASR aphatha ikhwalithi, ukubambezeleka, kanye nemvume njengezingxenye ezibalulekile ngokulinganayo zesu lokuphakelwa. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Ithuthukisa ukufinyeleleka ngokuloba, ukulandisa, nezixhumi ezibonakalayo zezwi. Ngesikhathi esifanayo, ukusetshenziswa kabi kwezwi kanye nezingozi zokuzenza ongeyena ziyakhuphuka uma imvume ingekho. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Ithuthukisa ukufinyeleleka ngokuloba, ukulandisa, nezixhumi ezibonakalayo zezwi.
Ithuthukisa ukufinyeleleka ngokuloba, ukulandisa, nezixhumi ezibonakalayo zezwi. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Amaqembu emidiya angathumela umsindo opholishiwe ngokushesha ngamabhajethi amancane.
Amaqembu emidiya angathumela umsindo opholishiwe ngokushesha ngamabhajethi amancane. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Amasistimu abhekene nekhasimende angacubungula ukusebenzelana okukhulunyiwe ngesilinganiso esikhulu.
Amasistimu abhekene nekhasimende angacubungula ukusebenzelana okukhulunyiwe ngesilinganiso esikhulu. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Okulotshiweyo kwesikhathi sangempela lapho ukubambezeleka okuphansi, ukuqonda okuhambisanayo kubaluleke kakhulu kunamaphuzu ambalwa okunemba
Ukubonwa kwenkulumo okukudivayisi noma eboshwe yi-CPU engakwazi ukukhokhela amadekhoda asindayo avelayo
Ucwaningo oluyisisekelo oluqhathanisa i-ASR ye-convolutional ngokumelene ne-RNN kanye nezinhlelo ze-transformer ku-Librispeech
Isebenza njengesisekelo sobunjiniyela selabhulali ye-Flashlight ye-Facebook kanye namamodeli akamuva we-wav2vec
Amaphethini Okusebenzisa
I-Wav2Letter Convolutional ASR iyasebenza
Okulotshiweyo kwesikhathi sangempela lapho ukubambezeleka okuphansi, ukulinganisa okuhambisanayo kubaluleke kakhulu kunamaphuzu ambalwa okunemba.
Okulotshiweyo kwesikhathi sangempela lapho ukubambezeleka okuphansi, ukuqagela okuhambisanayo kubaluleke kakhulu kunamaphuzu ambalwa okunemba Amathimba ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Wav2Letter Convolutional ASR iyasebenza
Ukubonwa kwenkulumo okukudivayisi noma eboshwe yi-CPU engakwazi ukukhokhela amadekhoda asindayo avelayo.
Ukuqashelwa kwenkulumo okukudivayisi noma okuhlanganiswe ne-CPU okungakwazi ukukhokhela ama-decoder asindayo avelayo Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Wav2Letter Convolutional ASR iyasebenza
Ucwaningo oluyisisekelo oluqhathanisa i-ASR ye-convolutional ngokumelene ne-RNN kanye nezinhlelo ze-transformer ku-Librispeech.
Izisekelo zocwaningo eziqhathanisa i-ASR ye-convolution ne-RNN kanye nezinhlelo ze-transformer Kumaqembu e-Librispeech ngokuvamile zithola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Wav2Letter Convolutional ASR iyasebenza
Isebenza njengesisekelo sobunjiniyela selabhulali ye-Flashlight ye-Facebook kanye namamodeli akamuva we-wav2vec.
Usebenza njengesisekelo sobunjiniyela selabhulali ye-Flashlight ye-Facebook kanye namamodeli akamuva we-wav2vec Amaqembu ngokuvamile athola imiphumela engcono uma echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Ukusetshenziswa kabi kwezwi kanye nezingozi zokuzenza ongeyena ziyanda uma imvume ingekho.
Ukunemba kungase kwehle kuzo zonke izinhlobo zokuphimisela, izilimi zesigodi, noma izindawo ezinomsindo.
Umsindo wokwenziwa ungenziwa iphutha njengenkulumo eyiqiniso ngaphandle kokulebula okucacile.
Ukuqalisa Umhlahlandlela
Thola imvume esobala yokuthwebula izwi, ukuhlanganisa, nokusebenzisa kabusha.
Thola imvume esobala yokuthwebula izwi, ukuhlanganisa, nokusebenzisa kabusha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ikhwalithi yokuhlola kuzo zonke izipikha nezimo zangemuva.
Ikhwalithi yokuhlola kuzo zonke izipikha nezimo zangemuva. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Chaza ukuthi kunini lapho umuntu kufanele abuyekeze noma agunyaze okuphumayo.
Chaza ukuthi kunini lapho umuntu kufanele abuyekeze noma agunyaze okuphumayo. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Lebula umsindo wokwenziwa futhi ugcine amarekhodi atholakalayo ukuze aziphendulele.
Lebula umsindo wokwenziwa futhi ugcine amarekhodi atholakalayo ukuze aziphendulele. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.