UMHLAHLANDLELA WE-AI womsindo

I-Audio Fingerprinting

Izigxivizo zeminwe zomsindo zakha isiginesha yedijithali ehlangene, engazwani nomsindo ukuze ibonakale kamuva, ngisho nangomsindo wangemuva noma ukurekhodwa kwekhwalithi ephansi.

2 amaminithi ukufundaIgcine ukubuyekezwa

Uhlolojikelele

It is the technology behind Shazam and content-ID systems.

I-Deep Dive

Izigxivizo zeminwe zomsindo ziyisifinyezo esifingqiwe sezici ze-acoustic ezirekhodiwe ezihluke kakhulu, eziklanywe ngendlela yokuthi ingoma efanayo ikhiqize izigxivizo zeminwe ezifanayo naphezu komsindo, ukuminyanisa, noma imakrofoni yefoni. Indlela yakudala ye-Shazam yakha i-spectrogram, ithola amaza aphakeme endawo ('amaphoyinti okunamathisela okwehange' aqinile asinda ekuhlanekeni), futhi ihlanganisa iziqongo eziseduze zibe ama-hash afaka amafrikhwensi awo kanye negebe lesikhathi. Izigidi zalawa ma hashi zakha isizindalwazi eseshekayo. Ukuze uhlonze isiqeshana, izigxivizo zeminwe zesistimu ngendlela efanayo futhi zibheka ingoma ama-hashe ayo akleliswe ngesikhathi, okufanayo kwakha umugqa we-diagonal ongashintshi ku-scatterplot. Ngenxa yokuthi incike ebudlelwaneni obuphakeme obuhlobene kunomsindo ongahluziwe, ibekezelela umsindo ngokuphawulekayo futhi isebenza kusukela kumasekhondi ambalwa nje omsindo.

I-Technical Insight

Iqhinga ukuqina ngokusebenzisa sparsity. Esikhundleni sokuqhathanisa umsindo ogcwele, amasistimu esitayela se-Shazam agcina kuphela iziqongo ze-spectral, amaphuzu aphezulu kakhulu emvamisa yesikhathi okungenzeka ukuthi ambozwe wumsindo. Amapheya okuphakama aphenduka ama-hashes encoding (frequency1, frequency2, time-delta), okunikeza izigidigidi zezimpawu zomhlaba ezihlukile. Ukufanisa kubala ukuthi mangaki ama-hashe abelana ngesikhathi esifanayo phakathi kombuzo nereferensi, ngakho-ke ngisho nesiqeshana esinomsindo samasekhondi angu-5 sikhiqiza izimpawu zendawo eziqondaniswe ezanele ukuze kubhekwe isizindalwazi esiqinisekayo, esisheshayo.

I-Strategic Impact

Finyelela futhi ufinyelele

Ithuthukisa ukufinyeleleka ngokuloba, ukulandisa, nezixhumi ezibonakalayo zezwi.

Izindleko kanye nesabelomali

Amaqembu emidiya angathumela umsindo opholishiwe ngokushesha ngamabhajethi amancane.

Isivinini nesikali

Amasistimu abhekene nekhasimende angacubungula ukusebenzelana okukhulunyiwe ngesilinganiso esikhulu.

Ikusasa Lokuphrinta Kweminwe Yomsindo

Izigxivizo zeminwe ziyakhula zisuka ekuqashelweni okufana ncamashi ziye ekuhlonzeni izinguqulo zekhava, ama-remix, namakhonsathi abukhoma, lapho iphimbo ne-tempo kuhluka khona kodwa umculo uphikelela. Ukushumeka okufundiwe okuvela kumanethiwekhi e-neural kuya ngokuya kwengezela ama-hashes aphezulu akhiwe ngesandla, kuthuthukisa ukuqina futhi kuvumela ukutholwa okucishe kube yimpinda. Lindela ukusetshenziswa okubanzi ekuqapheni kokusakaza kwesikhathi sangempela, ukusetshenziswa kwe-copyright okuzenzakalelayo esikalini sokulayisha, kanye nolwazi lwesikrini sesibili. Inselele ukulinganisa ukunemba, isivinini, nosayizi wesizindalwazi njengoba amakhathalogi afinyelela amakhulu ezigidi zamathrekhi.

Ukuqaliswa Komhlaba Wangempela

I-Shazam ne-SoundHound ehlonza ingoma edlala endaweni yokudlela enomsindo kusukela kumasekhondi ambalwa omsindo wefoni

I-Content ID ye-YouTube ifanisa amavidiyo alayishiwe ngokumelene nesizindalwazi sokuhlaba umkhosi umculo one-copyright

Isevisi yokuqapha yokusakaza ilandelela ukuthi ingoma noma isikhangiso sidlala kaningi kangakanani ezinkulungwaneni zeziteshi zomsakazo

Ama-Smart TV asebenzisa izigxivizo zeminwe zomsindo ukuze abone ukuthi yimuphi umbukiso odlala izibalo noma izici zesikrini sesibili

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

1

Thola imvume esobala yokuthwebula izwi, ukuhlanganisa, nokusebenzisa kabusha.

2

Ikhwalithi yokuhlola kuzo zonke izipikha nezimo zangemuva.

3

Chaza ukuthi kunini lapho umuntu kufanele abuyekeze noma agunyaze okuphumayo.

4

Lebula umsindo wokwenziwa futhi ugcine amarekhodi atholakalayo ukuze aziphendulele.

Qhubeka Uhlole

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Umhlahlandlela olandelayo

Ukutholwa kwe-Audio Deepfake

Imibuzo evame ukubuzwa

What is Audio Fingerprinting?

Izigxivizo zeminwe zomsindo zakha isiginesha yedijithali ehlangene, engazwani nomsindo ukuze ibonakale kamuva, ngisho nangomsindo wangemuva noma ukurekhodwa kwekhwalithi ephansi. Iwubuchwepheshe obusekela i-Shazam kanye nezinhlelo ze-content-ID.

Yini izigxivizo zeminwe ezilalelwayo?

Izigxivizo zeminwe yisiginesha ye-acoustic efinyeziwe eklanyelwe ukukhomba okurekhodiwe ngisho naphakathi komsindo noma ukucindezelwa.

Yiziphi izici ezikhishwa i-algorithm yakudala ka-Shazam ku-spectrogram?

Ikhomba iziqongo ze-spectral, amaphoyinti emvamisa yesikhathi anomsindo kakhulu, asinda emsindweni futhi akha isisekelo samahashi awo.

Kungani kusiza ukugcina iziqongo ze-spectral kuphela (sparsity)?

Ngokugcina iziqongo eziqine kakhulu kuphela, izigxivizo zeminwe zihlala zibonakala ngisho nalapho umsindo wonakalisa izingxenye ezithule.

Isinyathelo sokufanisa siqinisekisa kanjani ubunikazi bengoma?

Uma ama-hashe amaningi emibuzo eqondana nereferensi ngesikhathi esifanayo, enza i-diagonal engaguquki, eqinisekisa ukufana.

Yiluphi ulwazi ihashi lesitayela se-Shazam elivamise ukulifaka?

Ukupheya kweziqongo kusheshisiwe njengokuthi (imvamisa1, imvamisa2, i-time-delta), kudala izimpawu zendawo ezihlukile, eziqaphela isikhundla.