{"title":"Deep Learning Using Raw Audio\u00a0Files","provider_url":"https://hatena.blog","height":"190","author_name":"vivek081166","provider_name":"Hatena Blog","width":"100%","categories":[],"url":"https://developers.goalist.co.jp/entry/2019/04/11/185316","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fdevelopers.goalist.co.jp%2Fentry%2F2019%2F04%2F11%2F185316\" title=\"Deep Learning Using Raw Audio\u00a0Files - Goalist Developers Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2019-04-11 18:53:16","description":"// Feed raw audio files directly into the deep neural network without any feature extraction. // If you have observed, conventional audio and speech analysis systems are typically built using a pipeline structure, where the first step is to extract various low dimensional hand-crafted acoustic featu\u2026","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/v/vivek081166/20190410/20190410152348.png","blog_url":"https://developers.goalist.co.jp/","version":"1.0","blog_title":"Goalist Developers Blog","author_url":"https://blog.hatena.ne.jp/vivek081166/","type":"rich"}