{"id":100668,"date":"2021-07-02T16:22:45","date_gmt":"2021-07-02T14:22:45","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/kompaniya-google-otkryla-nedostayushhie-ishodnye-teksty-dlya-audiokodeka-lyra"},"modified":"2021-07-02T16:22:45","modified_gmt":"2021-07-02T14:22:45","slug":"kompaniya-google-otkryla-nedostayushhie-ishodnye-teksty-dlya-audiokodeka-lyra","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sk\/blog\/news\/kompaniya-google-otkryla-nedostayushhie-ishodnye-teksty-dlya-audiokodeka-lyra","title":{"rendered":"Spolo\u010dnos\u0165 Google spr\u00edstupnila ch\u00fdbaj\u00face zdrojov\u00e9 texty pre audiokodek Lyra","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Spolo\u010dnos\u0165 Google vydala aktualiz\u00e1ciu audio kodeku Lyra 0.0.2, optimalizovan\u00e9ho na dosiahnutie maxim\u00e1lnej kvality prenosu re\u010di pri pou\u017eit\u00ed ve\u013emi pomal\u00fdch komunika\u010dn\u00fdch kan\u00e1lov. Kodek bol spr\u00edstupnen\u00fd na za\u010diatku apr\u00edla, ale dod\u00e1val sa v spojen\u00ed s propriet\u00e1rnou matematickou kni\u017enicou. Vo verzii 0.0.2 bol tento nedostatok odstr\u00e1nen\u00fd a pre uveden\u00fa kni\u017enicu bola vytvoren\u00e1 otvoren\u00e1 n\u00e1hrada \u2013 sparse_matmul, ktor\u00e1 je rovnako ako samotn\u00fd kodek distribuovan\u00e1 pod licenciou Apache 2.0. Z \u010fal\u0161\u00edch vylep\u0161en\u00ed m\u00f4\u017eeme spomen\u00fa\u0165 mo\u017enos\u0165 pou\u017eitia syst\u00e9movej kompil\u00e1cie Bazel s kompilerom GCC a pou\u017eitie tejto kombin\u00e1cie ako predvolenej v Linuxe namiesto Bazel+Clang. <\/p>\n

Pripome\u0148me, \u017ee z poh\u013eadu kvality pren\u00e1\u0161an\u00fdch hlasov\u00fdch d\u00e1t pri n\u00edzkych r\u00fdchlostiach Lyra v\u00fdznamne prevy\u0161uje tradi\u010dn\u00e9 kodeky, v ktor\u00fdch s\u00fa pou\u017eit\u00e9 met\u00f3dy digit\u00e1lneho spracovania sign\u00e1lov. Na dosiahnutie vysokej kvality prenosu hlasu v podmienkach obmedzen\u00e9ho objemu pren\u00e1\u0161an\u00fdch inform\u00e1ci\u00ed, okrem be\u017en\u00fdch met\u00f3d kompresie zvuku a konverzie sign\u00e1lov, v Lyra sa pou\u017e\u00edva re\u010dov\u00fd model zalo\u017een\u00fd na syst\u00e9me strojov\u00e9ho u\u010denia, ktor\u00fd umo\u017e\u0148uje rekonstrukciu ch\u00fdbaj\u00facich inform\u00e1ci\u00ed na z\u00e1klade typov\u00fdch charakterist\u00edk re\u010di. Model zapojen\u00fd do generovania zvuku bol tr\u00e9novan\u00fd s pou\u017eit\u00edm nieko\u013ek\u00fdch tis\u00edc hod\u00edn so z\u00e1znamami hlasov vo viac ne\u017e 70 jazykoch. V\u00fdkon navrhnutej implement\u00e1cie je dostato\u010dn\u00fd na k\u00f3dovanie a dek\u00f3dovanie re\u010di v re\u00e1lnom \u010dase na smartf\u00f3noch strednej cenovej kateg\u00f3rie, s oneskoren\u00edm prenosu sign\u00e1lu na \u00farovni 90 milisek\u00fand.
\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 \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u0430\u0443\u0434\u0438\u043e\u043a\u043e\u0434\u0435\u043a\u0430 Lyra 0.0.2, \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \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 \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\u0435\u043a \u0431\u044b\u043b \u043e\u0442\u043a\u0440\u044b\u0442 \u0432 \u043d\u0430\u0447\u0430\u043b\u0435 \u0430\u043f\u0440\u0435\u043b\u044f, \u043d\u043e \u043f\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u043b\u0441\u044f \u0432 \u043f\u0440\u0438\u0432\u044f\u0437\u043a\u0435 \u043a \u043f\u0440\u043e\u043f\u0440\u0438\u0435\u0442\u0430\u0440\u043d\u043e\u0439 \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0435. \u0412 \u0432\u0435\u0440\u0441\u0438\u0438 0.0.2 \u0434\u0430\u043d\u043d\u044b\u0439 \u043d\u0435\u0434\u043e\u0441\u0442\u0430\u0442\u043e\u043a \u0443\u0441\u0442\u0440\u0430\u043d\u0451\u043d \u0438 \u0434\u043b\u044f \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0441\u043e\u0437\u0434\u0430\u043d\u0430 \u043e\u0442\u043a\u0440\u044b\u0442\u0430\u044f \u0437\u0430\u043c\u0435\u043d\u0430 — sparse_matmul, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043a\u0430\u043a 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