UMHLAHLANDLELA WE-AI womsindo

I-MelGAN Generative Vocoder

I-MelGAN iyivoda esekelwe ngokugcwele ye-GAN eshintsha ama-mel-spectrogram abe amaza omsindo angahluziwe ngendlela eyodwa eya phambili esheshayo.

Uhlolojikelele

I-MelGAN iyivoda esekelwe ngokugcwele ye-GAN eshintsha ama-mel-spectrogram abe amaza omsindo angahluziwe ngendlela eyodwa eya phambili esheshayo. Bekubalulekile ngoba kufakazele ukuthi ukuhlanganiswa kwenkulumo kwekhwalithi ephezulu, okungalawuleki kungasebenza ngokushesha izikhathi ezingamakhulu kunesikhathi sangempela ku-GPU.

I-MelGAN Generative Vocoder ihlezi ku-audio-AI workflows eguqula inkulumo, umculo, nomsindo wokuxhumana, ukufinyeleleka, nokukhiqizwa kwemidiya.

I-Deep Dive

UMelGAN, wethulwa nguKumar et al. ngo-2019, ikhiqiza umsindo ngaphandle kwe-loop ehamba kancane yesampula-by-sampuli esetshenziswa yi-WaveNet. Ijeneretha yayo iyinqwaba yama-convolutions aguquliwe enza isampula ye-mel-spectrogram (imvamisa yamabhendi angama-80) kufika esilinganisweni sesampula somsindo, namabhulokhi ayinsalela asebenzisa ama-convolutions anwetshiwe ukuze kunwetshwe inkambu yokwamukela. Ukuqamba okusha okubalulekile bekuwukuqeqeshwa ngabacwasi abaningi abasebenza esikalini somsindo esihlukile (ifomethi yegagasi yoqobo kanye nezinguqulo ezingasampuliwe phansi), ngamunye ebheka amawindi agqagqene. Ukulahlekelwa okufanisa isici kuqhathanisa ukwenziwa kusebenze kombandlululi phakathi komsindo wangempela noma mbumbulu, ukuzinzisa ukuqeqeshwa kwe-GAN. Imodeli incane ngezindinganiso ze-neural-audio futhi isebenza ngokushesha kunesikhathi sangempela ngisho naku-CPU, iyenza isebenziseke ekugxiliseni nasekukhulumeni umbhalo uye enkulumeni kudivayisi.

I-Technical Insight

Umhlukanisi wezilinganiso eziningi we-MelGAN usebenzisa amanethiwekhi amathathu afanayo abheka umsindo ngokulungiswa okugcwele, uhhafu, kanye nekota, isakhiwo ngasinye sokuthwebula kumabanga ahlukene wefrikhwensi. Okubalulekile ukuthi, i-MelGAN incike ekulahlekelweni okufaniswayo (ibanga elingu-L1 phakathi kwamamephu wesici esibandlululayo womsindo wangempela uma uqhathaniswa nokukhiqizwa) kunokulahlekelwa okusobala kokwakhiwa kabusha kwe-spectrogram, okukhuthaza ijeneretha ukuthi ifanise isendlalelo sezibalo zomsindo wangempela ngokwesendlalelo.

I-Mastering MelGAN Generative Vocoder

I-MelGAN iyivoda esekelwe ngokugcwele ye-GAN eshintsha ama-mel-spectrogram abe amaza omsindo angahluziwe ngendlela eyodwa eya phambili esheshayo. Bekubalulekile ngoba kufakazele ukuthi ukuhlanganiswa kwenkulumo kwekhwalithi ephezulu, okungalawuleki kungasebenza ngokushesha izikhathi ezingamakhulu kunesikhathi sangempela ku-GPU. I-MelGAN Generative Vocoder ihlezi ku-audio-AI workflows eguqula inkulumo, umculo, nomsindo wokuxhumana, ukufinyeleleka, nokukhiqizwa kwemidiya. Ukuze wakhe ukuqonda okujulile, phatha i-MelGAN Generative Vocoder njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela oyifunayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.

Empeleni, amaqembu aqinile asebenzisa i-MelGAN Generative Vocoder aphatha ikhwalithi, ukubambezeleka, kanye nemvume njengezingxenye ezibalulekile ngokulinganayo zesu lokuthumela. 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.

Ikusasa le-MelGAN Generative Vocoder

UMelGAN uhlanyele umndeni wamavokhoda we-GAN. Abayilandela, i-HiFi-GAN kanye ne-UnivNet, bagcine indlela esheshayo yokungalawuleki kodwa bengeze ababandlululi bezikhathi eziningi kanye nezixazululo eziningi kumafrikhwensi aphezulu ahlanzekile. Isakhiwo sihlala ku-TTS ekudivayisi nasekusakazeni lapho ukubambezeleka nosayizi wemodeli kubalulekile, futhi imibono yakhona yokubandlulula iqhubeka nokuba nomthelela kuma-codec e-neural kanye nezinhlelo zokukhiqiza umculo lapho ukuqeqeshwa okuphikisayo kuthuthukisa ikhwalithi yokucabanga.

Ukuqaliswa Komhlaba Wangempela

Umbhalo uye inkulumo ekudivayisini kuzisizi zeselula lapho i-vokhoda encane, esheshayo igwema uhambo lokubuya nokubuya

Amapayipi okuguqula izwi esikhathi sangempela aguqula i-mel-spectrogram yesipika ibe yizwi eliqondiwe

Amathuluzi egeyimu nawopopayi ahlanganisa ingxoxo yomlingiswa kusukela kuma-spectrogram akhiqiziwe ane-latency ephansi

Izisekelo zocwaningo zama-GAN omsindo, lapho ukulahlekelwa kokufanisa isici sika-MelGAN kusetshenziswa kabusha emculweni nasekukhiqizeni umphumela womsindo.

Amaphethini Okusebenzisa

I-MelGAN Generative Vocoder isebenza

Umbhalo uye enkulumeni ekudivayisini kuzisizi zeselula lapho i-vokhoda encane, esheshayo igwema uhambo lokuya nokubuya.

Umbhalo uye-enkulumweni ekudivayisini kubasizi beselula lapho i-vokhoda encane, esheshayo igwema uhambo lokubuya nokubuya namafu Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-MelGAN Generative Vocoder isebenza

Amapayipi okuguqula izwi esikhathi sangempela aguqula i-mel-spectrogram yesipika ibe yizwi eliqondiwe.

Amapayipi okuguqulwa kwezwi esikhathi sangempela aguqula i-mel-spectrogram yesipika ibe yizwi eliqondiwe Amathimba ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-MelGAN Generative Vocoder isebenza

Amathuluzi egeyimu nawopopayi ahlanganisa ingxoxo yomlingiswa kusukela kuma-spectrogram akhiqiziwe ane-latency ephansi.

Amathuluzi egeyimu nawopopayi ahlanganisa inkhulumomphendvulwano yabalingiswa kusukela kuma-spectrogram akhiqiziwe ane-latency ephansi Amathimba ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-MelGAN Generative Vocoder isebenza

Ucwaningo oluyisisekelo lwama-GAN omsindo, lapho ukulahlekelwa kokufanisa isici se-MelGAN kusetshenziswa kabusha emculweni nasekukhiqizeni umphumela womsindo.

Izisekelo zokucwaninga zama-GAN alalelwayo, lapho ukulahlekelwa kokufanisa isici se-MelGAN kusetshenziswa kabusha umculo kanye namaQembu akhiqiza umphumela womsindo ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

Izingozi & Guardrails

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Ukusetshenziswa kabi kwezwi kanye nezingozi zokuzenza ongeyena ziyanda uma imvume ingekho.

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Ukunemba kungase kwehle kuzo zonke izinhlobo zokuphimisela, izilimi zesigodi, noma izindawo ezinomsindo.

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Umsindo wokwenziwa ungenziwa iphutha njengenkulumo eyiqiniso ngaphandle kokulebula okucacile.

Ukuqalisa Umhlahlandlela

1

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.

2

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.

3

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.

4

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.

Qhubeka Uhlole