{"id":53004,"date":"2019-11-21T00:00:00","date_gmt":"2019-11-20T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/nejroseti-vyveli-kachestvo-sinteza-russkoyazychnoj-rechi-na-novyj-uroven"},"modified":"2020-02-18T14:00:50","modified_gmt":"2020-02-18T11:00:50","slug":"nejroseti-vyveli-kachestvo-sinteza-russkoyazychnoj-rechi-na-novyj-uroven","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pl\/blog\/news\/nejroseti-vyveli-kachestvo-sinteza-russkoyazychnoj-rechi-na-novyj-uroven","title":{"rendered":"Sieci neuronowe wynios\u0142y jako\u015b\u0107 syntezy rosyjskiego j\u0119zyka m\u00f3wionego na nowy poziom","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Grupa firm CRT, nale\u017c\u0105ca do ekosystemu Sberbanku, og\u0142osi\u0142a opracowanie nowoczesnej platformy syntezy mowy, kt\u00f3ra, jak twierdzi, zapewnia p\u0142ynno\u015b\u0107 i ekspresyjno\u015b\u0107 w odczytywaniu dowolnego tekstu.<\/p>\n

Przedstawione rozwi\u0105zanie to trzecia generacja systemu syntezatora mowy. Wysokiej jako\u015bci sygna\u0142 audio generuj\u0105 z\u0142o\u017cone modele sieci neuronowych. Tw\u00f3rcy twierdz\u0105, \u017ce wynikiem dzia\u0142ania tych algorytm\u00f3w jest najbardziej realistyczny syntez mowy w j\u0119zyku rosyjskim.<\/p>\n

\"Sieci<\/p>\n

W sk\u0142ad platformy wchodzi modu\u0142 przewidywania akcent\u00f3w w s\u0142owach, kt\u00f3re nie s\u0105 jeszcze dost\u0119pne w podstawowym s\u0142owniku. Ponadto, przewidziano automatyczne poprawianie typowych b\u0142\u0119d\u00f3w ortograficznych. Dzi\u0119ki g\u0142\u0119bokiej analizie lingwistycznej tekstu wymowa b\u0119dzie odpowiada\u0142a normom j\u0119zykowym nawet w trudnych przypadkach.<\/p>\n

Kolejn\u0105 zalet\u0105 platformy jest to, \u017ce nie wymaga drogich serwery<\/a>, wyposa\u017cone w akceleratory GPU. Technologi\u0119 mo\u017cna wykorzysta\u0107 na dwa sposoby \u2013 przez chmur\u0119 lub wbudowa\u0107 w w\u0142asne rozwi\u0105zanie.<\/p>\n

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

W\u015br\u00f3d mo\u017cliwych obszar\u00f3w zastosowania opracowania wymienia si\u0119 chatboty i asystent\u00f3w g\u0142osowych, us\u0142ugi informacyjne i powiadamianie, us\u0142ugi g\u0142osowe z natychmiastow\u0105 syntez\u0105 dowolnego tekstu w trakcie rozmowy itd.<\/p>\n

\u201eW zautomatyzowanych scenariuszach komunikacji z klientami technologia pozwala na indywidualne interakcje z ka\u017cdym abonentem, poniewa\u017c nie ma sztywnych wiadomo\u015bci, a ka\u017cdy tekst mo\u017ce by\u0107 syntezowany w trakcie rozmowy\u201d, m\u00f3wi\u0105 tw\u00f3rcy.<\/p>\n

Technologi\u0119 mo\u017cna wypr\u00f3bowa\u0107 tutaj<\/a><\/noindex>. <\/p>\n

<\/p>\n

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\u0179r\u00f3d\u0142o: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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