I-AI Foundations
Qonda ukuthi iyini i-AI, ukuthi amasistimu afunda kanjani, lapho ehluleka khona, kanye nendlela yokwahlulela izimangalo ngaphandle kokukhohlisa.
Umtapo wezincwadi we-AI wamahhala
117 imihlahlandlela yesiNgisi esicacile, izindlela zokufunda ezihlelekile, nomtapo wolwazi ovulekile — wakhiwe inhlangano engenzi nzuzo ye-501(c)(3) ezimele ukuze noma ubani aqonde i-AI yesimanje.
Qala lapha
Isifundo ngasinye sihlanganisa imiphumela esobala, amakhono afakwe kumephu, imisebenzi yokuzilolonga, kanye netshe eliyinhloko elisetshenzisiwe.
Qonda ukuthi iyini i-AI, ukuthi amasistimu afunda kanjani, lapho ehluleka khona, kanye nendlela yokwahlulela izimangalo ngaphandle kokukhohlisa.
Sebenzisa i-AI ngendlela ekhiqizayo kuyilapho uvikela ubumfihlo, ubheka imiphumela, futhi ulondoloza ukuziphendulela komuntu.
Linganisa izimo zokusetshenziswa kwendawo yokusebenza, sebenzisa abashayeli bezindiza abaphephile, kala inani, futhi uxhumane nezinguquko ngokuzibophezela.
Hlaziya izinhlelo ze-AI ngokusebenzisa amalungelo, ukulingana, ukubusa, ukuphepha, kanye nemiphumela yenzuzo yomphakathi.
Qonda amamodeli olimi, ukubuyisa, abasebenzeli, ukuhlola, izindleko, nokuvikela ukusetshenziswa ngokuklama kwesistimu okusebenzayo.
Amathrekhi esihloko
Gxumela endaweni oyikhathalelayo. Wonke amathrekhi anemihlahlandlela eminingi yesiNgisi esilula.
Umtapo wolwazi ogcwele
117 kwe 1019 imihlahlandlela ebonisiwe. Hlunga ngethrekhi noma sesha ngenhla.
I-EnCodec iyikhodekhi yomsindo we-neural ethembekile engu-Meta ecindezela inkulumo nomculo ngama-bitrate aphansi kakhulu ngekhwalithi ephikisana namafomethi asinda kakhulu.
Umsindo we-AII-Residual Vector quantization (RVQ) yindlela eguqula ukushumeka komsindo okuqhubekayo kube yinqwaba yamakhodi ahlukene ngokuphindaphinda…
Umsindo we-AII-ECAPA-TDNN i-neural network architecture eshintsha noma yisiphi isiqeshana senkulumo sibe ukushumeka 'izwi' elihlangene, elivumela imishini ukuthi isho ukuthi ubani okhulumayo.
Umsindo we-AII-Anti-spoofing isendlalelo sokuzivikela esithola amazwi mbumbulu noma adlaliwe kabusha azama ukukhohlisa amasistimu okufakazela ubuqiniso bezwi.
Umsindo we-AII-RNNoise inethiwekhi ye-neural encane, esheshayo esusa umsindo wangemuva enkulumweni ngesikhathi sangempela.
Umsindo we-AIUkushumeka komsindo kuguqula umsindo kube amavekhtha ezinombolo abamba incazelo, ukuze imishini ikwazi ukuqhathanisa, ukucinga, nokuhlukanisa umsindo ngendlela abantu abayibona ngayo...
Umsindo we-AII-Acoustic echo cancellation (AEC) ubuchwepheshe obukuvimba ukuthi uzwe izwi lakho libuyela emuva ngesikhathi socingo.
Umsindo we-AIUkuhlukaniswa kwenkulumo kuwumsebenzi wokudonsa amazwi ngamanye ngaphandle kokurekhodiwe lapho abantu abambalwa bekhuluma ngesikhathi esisodwa.
Umsindo we-AII-Permutation invariant training (PIT) iyisu lokuqeqesha elihlakaniphile elivumela imodeli ukuthi ihlukanise amazwi amaningi ngaphandle kokunaka ukuthi iphimbo eliphumayo ngalinye lihlala kuphi…
Umsindo we-AII-Music Information Retrieval (MIR) inkambu efundisa amakhompyutha ukuhlaziya, ukuqonda, nokusesha umculo kumasiginali omsindo nezikolo.
Umsindo we-AIFunda ukuthi i-Demucs ne-HT-Demucs ziwuhlukanisa kanjani umculo ube amazwi neziqu zezinsimbi kusetshenziswa i-waveform, i-spectrogram, kanye ne-transformer modelling.
Umsindo we-AIUkuqaphela imisindo yomsindo kuwumsebenzi wokulebula ngokuzenzakalelayo ama-chords adlalwa engomeni yonkana ngokuqondile kumsindo wayo.
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