{"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\/cs\/blog\/news\/google-opublikoval-audiokodek-lyra-dlya-peredachi-rechi-pri-plohom-kachestve-svyazi","title":{"rendered":"Google zve\u0159ejnil audiosoubor Lyra pro p\u0159enos hlasu p\u0159i \u0161patn\u00e9 kvalit\u011b spojen\u00ed","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Spole\u010dnost Google p\u0159edstavila nov\u00fd audiokodek Lyra, optimalizovan\u00fd pro dosa\u017een\u00ed maxim\u00e1ln\u00ed kvality p\u0159enosu \u0159e\u010di i p\u0159i pou\u017eit\u00ed velmi pomal\u00fdch p\u0159enosov\u00fdch kan\u00e1l\u016f. K\u00f3d realizace Lyra je naps\u00e1n v C++ a je otev\u0159en pod licenc\u00ed Apache 2.0, ale mezi nezbytn\u00fdmi z\u00e1vislostmi pro jeho fungov\u00e1n\u00ed je p\u0159\u00edtomn\u00e1 propriet\u00e1rn\u00ed knihovna libsparse_inference.so s implementac\u00ed j\u00e1dra pro matematick\u00e9 v\u00fdpo\u010dty. Je zd\u016frazn\u011bno, \u017ee propriet\u00e1rn\u00ed knihovna je do\u010dasn\u00e1 \u2013 v budoucnu Google slibuje vyvinout otev\u0159enou alternativu a zajistit podporu pro r\u016fzn\u00e9 platformy. <\/p>\n

Pokud jde o kvalitu p\u0159en\u00e1\u0161en\u00fdch hlasov\u00fdch dat p\u0159i n\u00edzk\u00fdch rychlostech, Lyra v\u00fdrazn\u011b p\u0159evy\u0161uje tradi\u010dn\u00ed kodeky, kter\u00e9 vyu\u017e\u00edvaj\u00ed metody digit\u00e1ln\u00edho zpracov\u00e1n\u00ed sign\u00e1l\u016f. Pro dosa\u017een\u00ed vysok\u00e9 kvality p\u0159enosu hlasu p\u0159i omezen\u00e9m objemu p\u0159en\u00e1\u0161en\u00fdch informac\u00ed, krom\u011b b\u011b\u017en\u00fdch metod komprese zvuku a p\u0159evodu sign\u00e1l\u016f, Lyra vyu\u017e\u00edv\u00e1 \u0159e\u010dov\u00fd model zalo\u017een\u00fd na syst\u00e9mu strojov\u00e9ho u\u010den\u00ed, kter\u00fd umo\u017e\u0148uje rekonstruovat chyb\u011bj\u00edc\u00ed informace na z\u00e1klad\u011b typick\u00fdch rys\u016f \u0159e\u010di. Model pou\u017eit\u00fd pro generaci zvuku byl tr\u00e9nov\u00e1n na n\u011bkolika tis\u00edc\u00edch hodin\u00e1ch nahr\u00e1vek hlas\u016f ve v\u00edce ne\u017e 70 jazyc\u00edch.

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

Kodek obsahuje encoder a decoder. Algoritmus fungov\u00e1n\u00ed encodera spo\u010d\u00edv\u00e1 v extrakci parametr\u016f hlasov\u00fdch dat ka\u017ed\u00fdch 40 milisekund, jejich kompresi a p\u0159enosu p\u0159\u00edjemci po s\u00edti. Pro p\u0159enos dat sta\u010d\u00ed komunika\u010dn\u00ed kan\u00e1l s rychlost\u00ed 3 kilobity za sekundu. Extrahovan\u00e9 zvukov\u00e9 parametry zahrnuj\u00ed logaritmick\u00e9 mel-spektrogramy, kter\u00e9 zohled\u0148uj\u00ed charakteristiky energie \u0159e\u010di v r\u016fzn\u00fdch frekven\u010dn\u00edch p\u00e1smech a jsou p\u0159ipraveny s ohledem na model lidsk\u00e9ho sluchov\u00e9ho vn\u00edm\u00e1n\u00ed.

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

V dekod\u00e9ru se pou\u017e\u00edv\u00e1 generativn\u00ed model, kter\u00fd na z\u00e1klad\u011b p\u0159edan\u00fdch zvukov\u00fdch parametr\u016f rekonstruuje sign\u00e1l s \u0159e\u010d\u00ed. Pro sn\u00ed\u017een\u00ed slo\u017eitosti v\u00fdpo\u010dt\u016f byla aplikov\u00e1na lehk\u00e1 model na z\u00e1klad\u011b rekurentn\u00ed neuronov\u00e9 s\u00edt\u011b, co\u017e je varianta modelu synt\u00e9zy \u0159e\u010di WaveRNN, ve kter\u00e9 se pou\u017e\u00edv\u00e1 ni\u017e\u0161\u00ed vzorkovac\u00ed frekvence, ale paraleln\u011b se generuje n\u011bkolik sign\u00e1l\u016f v r\u016fzn\u00fdch frekven\u010dn\u00edch p\u00e1smech. Z\u00edskan\u00e9 sign\u00e1ly se pot\u00e9 p\u0159ekr\u00fdvaj\u00ed, aby se z\u00edskal jedin\u00fd v\u00fdstupn\u00ed sign\u00e1l odpov\u00eddaj\u00edc\u00ed po\u017eadovan\u00e9 frekvenci vzorkov\u00e1n\u00ed. <\/p>\n

Pro zrychlen\u00ed byly tak\u00e9 vyu\u017eity specializovan\u00e9 procesorov\u00e9 instrukce dostupn\u00e9 v 64bitov\u00fdch procesorech ARM. Nakonec, i p\u0159es pou\u017eit\u00ed strojov\u00e9ho u\u010den\u00ed, m\u016f\u017ee kodek Lyra slou\u017eit k k\u00f3dov\u00e1n\u00ed a dek\u00f3dov\u00e1n\u00ed \u0159e\u010di v re\u00e1ln\u00e9m \u010dase na smartphonech st\u0159edn\u00ed cenov\u00e9 kategorie, p\u0159i\u010dem\u017e ukazuje zpo\u017ed\u011bn\u00ed p\u0159enosu sign\u00e1lu na \u00farovni 90 milisekund.
\n
Zdroj: 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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