{"id":3029,"date":"2019-11-06T15:47:09","date_gmt":"2019-11-06T20:47:09","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=3029"},"modified":"2025-04-15T14:56:18","modified_gmt":"2025-04-15T18:56:18","slug":"cs388-week-10-update-3","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/11\/06\/cs388-week-10-update-3\/","title":{"rendered":"CS388 &#8211; Week 10 &#8211; Update"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Finished my first draft of proposal. I read some blogs about speaker verification tech and found out that I was wrong on some aspects (actually I was confused). Those blogs help me understand more and deeper about speaker verification. So I revised my framework and flowcharts: take voice input -&gt; feature extraction -&gt; modeling -&gt; database. The modeling part is the most difficult part in speaker verification. The most popular models are: Hidden Markov Model, Gaussian Mixture Model, Vector Quantization, etc. I am not sure which one I will use for sure. It all depends on my dataset and customer need. I need to experiment several models to know which one I want the best. But I chose GMM temporarily on my proposal. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Finished my first draft of proposal. I read some blogs about speaker verification tech and found out that I was wrong on some aspects (actually I was confused). Those blogs help me understand more and deeper about speaker verification. So I revised my framework and flowcharts: take voice input -&gt; feature extraction -&gt; modeling -&gt; &#8230; <a title=\"CS388 &#8211; Week 10 &#8211; Update\" class=\"read-more\" href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/11\/06\/cs388-week-10-update-3\/\" aria-label=\"Read more about CS388 &#8211; Week 10 &#8211; Update\">Read more<\/a><\/p>\n","protected":false},"author":54,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[80,19,100],"tags":[],"class_list":["post-3029","post","type-post","status-publish","format-standard","hentry","category-80","category-student","category-yuqian-zhang"],"_links":{"self":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3029","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/users\/54"}],"replies":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/comments?post=3029"}],"version-history":[{"count":1,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3029\/revisions"}],"predecessor-version":[{"id":3030,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3029\/revisions\/3030"}],"wp:attachment":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/media?parent=3029"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/categories?post=3029"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/tags?post=3029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}