{"id":99675,"date":"2021-04-06T22:22:41","date_gmt":"2021-04-06T20:22:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-opublikoval-audiokodek-lyra-dlya-peredachi-rechi-pri-plohom-kachestve-svyazi"},"modified":"2021-04-06T22:22:41","modified_gmt":"2021-04-06T20:22:42","slug":"google-opublikoval-audiokodek-lyra-dlya-peredachi-rechi-pri-plohom-kachestve-svyazi","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/news\/google-opublikoval-audiokodek-lyra-dlya-peredachi-rechi-pri-plohom-kachestve-svyazi","title":{"rendered":"Google je objavio audio kodek Lyra za prenos govora pri lo\u0161oj kvaliteti veze","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Podjetje Google je predstavilo nov avdio kodek Lyra, optimiziran za dosego maksimalne kakovosti prenosa govora, celo pri zelo po\u010dasnih komunikacijskih kanalih. Implementacija kodeka Lyra je napisana v C++ in je odprta pod licenco Apache 2.0, vendar med potrebnimi odvisnostmi za delovanje obstaja tudi lastni\u0161ka knji\u017enica libsparse_inference.so, ki implementira jedro za matemati\u010dne izra\u010dune. Opozarjajo, da je lastni\u0161ka knji\u017enica za\u010dasna \u2014 Google obljublja, da bo v prihodnosti razvil odprto zamenjavo in omogo\u010dil podporo za razli\u010dne platforme. <\/p>\n

Po kakovosti prenesenih glasovnih podatkov pri nizkih hitrostih Lyra mo\u010dno presega tradicionalne kodeke, ki uporabljajo metode digitalne obdelave signalov. Za dosego visoke kakovosti prenosa glasu v pogojih omejenega obsega prenesenih informacij, poleg obi\u010dajnih metod stiskanja zvoka in pretvorbe signalov, Lyra uporablja govorno modeliranje z vgrajenim sistemom strojnega u\u010denja, ki omogo\u010da obnovo manjkajo\u010dih informacij na podlagi tipi\u010dnih zna\u010dilnosti govora. Model, uporabljen za generiranje zvoka, je bil usposobljen z uporabo ve\u010d tiso\u010d ur posnetkov glasov v ve\u010d kot 70 jezikih.

\"Google<\/center> <\/p>\n

Kodek vklju\u010duje kodirnik in dekodirnik. Algoritem delovanja kodirnika se zmanj\u0161uje na ekstrakcijo parametrov glasovnih podatkov vsakih 40 milisekund, njihovo stiskanje in prenos prejemniku po omre\u017eju. Za prenos podatkov zadostuje komunikacijski kanal s hitrostjo 3 kilobite na sekundo. Izvle\u010deni zvo\u010dni parametri vklju\u010dujejo logaritemske mel-spektrograma, ki upo\u0161tevajo zna\u010dilnosti energije govora v razli\u010dnih frekven\u010dnih pasovih in so pripravljeni ob upo\u0161tevanju modela \u010dlove\u0161kega sluha.

\"Google<\/center> <\/p>\n

V decodirniku se uporablja generativni model, ki na podlagi posredovanih zvo\u010dnih parametrov ponovno ustvari signal z govorom. Za zmanj\u0161anje kompleksnosti izra\u010dunov je bila uporabljena lahka modela, ki temelji na rekurentni nevronski mre\u017ei, ki predstavlja razli\u010dico modela sinteze govora WaveRNN, pri \u010demer se uporablja ni\u017eja frekvenca vzor\u010denja, vendar se generira hkrati ve\u010d signalov v razli\u010dnih frekven\u010dnih obmo\u010djih. Pridobljeni signali se nato prekrivajo za pridobitev enotnega izhodnega signala, ki ustreza zahtevani frekvenci diskretizacije. <\/p>\n

Za pospe\u0161itev so bile uporabljene tudi specializirane procesorske instrukcije, ki so na voljo v 64-bitnih procesorjih ARM. Tako lahko kljub uporabi strojnega u\u010denja kodek Lyra uporablja za kodiranje in dekodiranje govora v realnem \u010dasu na pametnih telefonih srednjega cenovnega razreda, pri \u010demer se prikazuje zakasnitev prenosa signala na ravni 90 milisekund.
\n
Izvor: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043d\u043e\u0432\u044b\u0439 \u0430\u0443\u0434\u0438\u043e\u043a\u043e\u0434\u0435\u043a Lyra, \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0434\u043b\u044f \u0434\u043e\u0441\u0442\u0438\u0436\u0435\u043d\u0438\u044f \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0438 \u0440\u0435\u0447\u0438 \u0434\u0430\u0436\u0435 \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u043e\u0447\u0435\u043d\u044c \u043c\u0435\u0434\u043b\u0435\u043d\u043d\u044b\u0445 \u043a\u0430\u043d\u0430\u043b\u043e\u0432 \u0441\u0432\u044f\u0437\u0438. \u041a\u043e\u0434 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 Lyra \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 C++ \u0438 \u043e\u0442\u043a\u0440\u044b\u0442 \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0, \u043d\u043e \u0432 \u0447\u0438\u0441\u043b\u0435 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u044b\u0445 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0435\u0439 \u043f\u0440\u0438\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u043f\u0440\u043e\u043f\u0440\u0438\u0435\u0442\u0430\u0440\u043d\u0430\u044f \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 libsparse_inference.so \u0441 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u044f\u0434\u0440\u0430 \u0434\u043b\u044f \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0439. \u041e\u0442\u043c\u0435\u0447\u0430\u0435\u0442\u0441\u044f, 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