{"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\/pl\/blog\/news\/kompaniya-google-otkryla-nedostayushhie-ishodnye-teksty-dlya-audiokodeka-lyra","title":{"rendered":"Firma Google udost\u0119pni\u0142a brakuj\u0105ce kody \u017ar\u00f3d\u0142owe dla kodeka audio Lyra","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Firma Google opublikowa\u0142a aktualizacj\u0119 kodeka audio Lyra 0.0.2, zoptymalizowanego w celu osi\u0105gni\u0119cia maksymalnej jako\u015bci przesy\u0142u mowy przy u\u017cyciu bardzo wolnych \u0142\u0105czy. Kodek zosta\u0142 udost\u0119pniony na pocz\u0105tku kwietnia, ale by\u0142 dostarczany razem z zastrze\u017con\u0105 bibliotek\u0105 matematyczn\u0105. W wersji 0.0.2 ten problem zosta\u0142 rozwi\u0105zany, a dla wskazanej biblioteki stworzono otwart\u0105 alternatyw\u0119 \u2014 sparse_matmul, kt\u00f3ra, podobnie jak sam kodek, jest udost\u0119pniana na licencji Apache 2.0. W\u015br\u00f3d innych usprawnie\u0144 warto zauwa\u017cy\u0107 mo\u017cliwo\u015b\u0107 korzystania z systemu budowania Bazel z kompilatorem GCC oraz domy\u015blne u\u017cycie tego zestawu w systemie Linux zamiast Bazel+Clang. <\/p>\n

Przypomnijmy, \u017ce pod wzgl\u0119dem jako\u015bci przesy\u0142anych danych g\u0142osowych przy niskich przep\u0142ywno\u015bciach Lyra wyra\u017anie przewy\u017csza tradycyjne kodeki wykorzystuj\u0105ce metody cyfrowego przetwarzania sygna\u0142\u00f3w. Aby osi\u0105gn\u0105\u0107 wysok\u0105 jako\u015b\u0107 transmisji g\u0142osu przy ograniczonej ilo\u015bci przesy\u0142anych danych, opr\u00f3cz standardowych metod kompresji d\u017awi\u0119ku i przekszta\u0142cania sygna\u0142\u00f3w, w Lyrze stosowany jest model mowy oparty na systemie uczenia maszynowego, kt\u00f3ry pozwala odtworzy\u0107 brakuj\u0105ce informacje na podstawie typowych cech mowy. Model u\u017cywany do generowania d\u017awi\u0119ku zosta\u0142 wytrenowany z wykorzystaniem kilku tysi\u0119cy godzin nagra\u0144 g\u0142osowych w ponad 70 j\u0119zykach. Wydajno\u015b\u0107 zaproponowanej implementacji jest wystarczaj\u0105ca do kodowania i dekodowania mowy w czasie rzeczywistym na smartfonach ze \u015bredniej p\u00f3\u0142ki cenowej, z op\u00f3\u017anieniem transmisji sygna\u0142u na poziomie 90 milisekund.
\n
\u0179r\u00f3d\u0142o: 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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