{"id":77570,"date":"2020-04-11T19:42:07","date_gmt":"2020-04-11T17:42:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-opublikoval-dannye-i-model-mashinnogo-obucheniya-dlya-razdeleniya-zvukov"},"modified":"2020-04-11T19:42:07","modified_gmt":"2020-04-11T17:42:07","slug":"google-opublikoval-dannye-i-model-mashinnogo-obucheniya-dlya-razdeleniya-zvukov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pt\/blog\/news\/google-opublikoval-dannye-i-model-mashinnogo-obucheniya-dlya-razdeleniya-zvukov","title":{"rendered":"O Google publicou dados e um modelo de aprendizado de m\u00e1quina para separar sons","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A empresa Google publicou<\/a><\/noindex> um banco de dados de sons mistos de refer\u00eancia, acompanhado de anota\u00e7\u00f5es, que pode ser usado em sistemas de aprendizado de m\u00e1quina aplicados \u00e0 separa\u00e7\u00e3o de sons mistos arbitr\u00e1rios em componentes individuais. Tamb\u00e9m foi publicada uma modelo universal de aprendizado profundo (TDCN++), que pode ser usada no Tensorflow para separa\u00e7\u00e3o de sons. Os dados foram preparados com base em uma cole\u00e7\u00e3o freesound.org<\/a><\/noindex> e foram publicados<\/a><\/noindex> sob a licen\u00e7a CC BY 4.0. <\/p>\n

O projeto apresentado FUSS (Free Universal Sound Separation) visa resolver o problema da separa\u00e7\u00e3o de qualquer n\u00famero de sons arbitr\u00e1rios, sobre os quais n\u00e3o se sabe previamente nada. Outros sistemas semelhantes, em geral, est\u00e3o limitados \u00e0 tarefa de separar certos sons, como voz e n\u00e3o voz ou diferentes pessoas falando. <\/p>\n

O banco de dados cont\u00e9m cerca de 20 mil misturas. O conjunto tamb\u00e9m inclui caracter\u00edsticas de impulso da sala previamente calculadas, preparadas com o aux\u00edlio de um simulador de sala especialmente criado e que consideram a reflex\u00e3o das paredes, a localiza\u00e7\u00e3o da fonte de som e a localiza\u00e7\u00e3o do microfone. <\/p>\n

<\/a><\/noindex><\/p>\n

Fonte: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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