{"id":33791,"date":"2019-10-31T21:54:42","date_gmt":"2019-10-31T18:54:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/google-translatotron-tehnologiya-sinhronnogo-perevoda-rechi-imitiruyushhaya-golos-polzovatelya\/"},"modified":"2019-10-31T21:54:42","modified_gmt":"2019-10-31T18:54:42","slug":"google-translatotron-tehnologiya-sinhronnogo-perevoda-rechi-imitiruyushhaya-golos-polzovatelya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/google-translatotron-tehnologiya-sinhronnogo-perevoda-rechi-imitiruyushhaya-golos-polzovatelya","title":{"rendered":"Google Translatotron \u2013 une technologie de traduction simultan\u00e9e qui imite la voix de l'utilisateur","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Les d\u00e9veloppeurs de Google ont pr\u00e9sent\u00e9 un nouveau projet qui a donn\u00e9 naissance \u00e0 une technologie capable de traduire des phrases orales d'une langue \u00e0 une autre. La principale diff\u00e9rence entre ce nouveau traducteur, appel\u00e9 Translatotron, et ses homologues est qu'il fonctionne uniquement avec le son, sans utiliser de texte interm\u00e9diaire. Cette approche a permis d'acc\u00e9l\u00e9rer consid\u00e9rablement le fonctionnement du traducteur. Un autre aspect remarquable est que le syst\u00e8me imite assez fid\u00e8lement la fr\u00e9quence et le ton du locuteur.<\/p>\n

La cr\u00e9ation de Translatotron a \u00e9t\u00e9 rendue possible gr\u00e2ce \u00e0 des ann\u00e9es de travail continu. Les chercheurs de Google ont longtemps explor\u00e9 la possibilit\u00e9 de convertir directement la parole, mais il a fallu jusqu'\u00e0 r\u00e9cemment pour que le projet se concr\u00e9tise.<\/p>\n

\"Google<\/p>\n

Les syst\u00e8mes de traduction simultan\u00e9e actuellement utilis\u00e9s fonctionnent le plus souvent selon un m\u00eame algorithme. Au d\u00e9part, la parole source est transform\u00e9e en texte. Ensuite, le texte dans une langue est converti en texte dans une autre langue. Puis, le texte obtenu est converti en parole dans la langue souhait\u00e9e. Cette m\u00e9thode fonctionne plut\u00f4t bien, mais elle n'est pas sans d\u00e9fauts. \u00c0 chaque \u00e9tape, des erreurs peuvent survenir, s'accumulant et r\u00e9duisant la qualit\u00e9 de la traduction.<\/p>\n

Pour atteindre le r\u00e9sultat souhait\u00e9, les chercheurs ont \u00e9tudi\u00e9 des spectrogrammes sonores. Ils ont essay\u00e9 de faire en sorte qu'un spectrogramme dans une langue se transforme en un spectrogramme dans une autre langue, en \u00e9vitant les \u00e9tapes de conversion du son en texte.<\/p>\n

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

Il convient de noter que, malgr\u00e9 la complexit\u00e9 de ce type de conversion, le traitement de la parole se fait en une seule \u00e9tape, et non en trois comme auparavant. Avec une puissance de calcul suffisante, Translatotron effectuera la traduction simultan\u00e9e beaucoup plus rapidement. Un autre point important est que cette approche permet de conserver les caract\u00e9ristiques et l'intonation de la voix d'origine.<\/p>\n

\u00c0 ce stade, Translatotron ne peut pas se vanter d'une pr\u00e9cision de traduction aussi \u00e9lev\u00e9e que celle des syst\u00e8mes standard. N\u00e9anmoins, les chercheurs affirment que la plupart des traductions effectu\u00e9es sont de qualit\u00e9 suffisante. \u00c0 l'avenir, le travail sur Translatotron se poursuivra, car les chercheurs souhaitent am\u00e9liorer la qualit\u00e9 de la traduction simultan\u00e9e de la parole.<\/p>\n

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\n\t\t\t\t\t\t\t\t<\/center>
Source : 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0438 \u0438\u0437 Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0438 \u043d\u043e\u0432\u044b\u0439 \u043f\u0440\u043e\u0435\u043a\u0442, \u0432 \u0440\u0430\u043c\u043a\u0430\u0445 \u043a\u043e\u0442\u043e\u0440\u043e\u0433\u043e \u0431\u044b\u043b\u0430 \u0441\u043e\u0437\u0434\u0430\u043d\u0430 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u044f, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u0430\u044f \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u0438\u0442\u044c \u0443\u0441\u0442\u043d\u044b\u0435 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0441 \u043e\u0434\u043d\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 \u043d\u0430 \u0434\u0440\u0443\u0433\u043e\u0439. \u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0435 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u043d\u043e\u0432\u043e\u0433\u043e \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u0447\u0438\u043a\u0430 \u043f\u043e\u0434 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c Translatotron \u043e\u0442 \u0430\u043d\u0430\u043b\u043e\u0433\u043e\u0432 \u0437\u0430\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f \u0432 \u0442\u043e\u043c, \u0447\u0442\u043e \u043e\u043d \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u0438\u0441\u043a\u043b\u044e\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0441\u043e \u0437\u0432\u0443\u043a\u043e\u043c, \u043d\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u043f\u0440\u0438 \u044d\u0442\u043e\u043c \u043f\u0440\u043e\u043c\u0435\u0436\u0443\u0442\u043e\u0447\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442. \u0422\u0430\u043a\u043e\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u043f\u043e\u0437\u0432\u043e\u043b\u0438\u043b \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u0443 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