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		<title>14-10-20 Lantian Li - 版本历史</title>
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		<updated>2026-04-09T04:53:58Z</updated>
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		<id>http://index.cslt.org/mediawiki/index.php?title=14-10-20_Lantian_Li&amp;diff=11960&amp;oldid=prev</id>
		<title>Lilt：以“Weekly Summary  1. Statistical classification results, comparion with the eer result.  The results show that for the FA, using SVM is better than the baseline by eer...”为内容创建页面</title>
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				<updated>2014-10-20T14:36:00Z</updated>
		
		<summary type="html">&lt;p&gt;以“Weekly Summary  1. Statistical classification results, comparion with the eer result.  The results show that for the FA, using SVM is better than the baseline by eer...”为内容创建页面&lt;/p&gt;
&lt;p&gt;&lt;b&gt;新页面&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Weekly Summary&lt;br /&gt;
&lt;br /&gt;
1. Statistical classification results, comparion with the eer result.&lt;br /&gt;
&lt;br /&gt;
The results show that for the FA, using SVM is better than the baseline by eer, but FR is the opposite.&lt;br /&gt;
&lt;br /&gt;
At first, I think the results related to the SVM training data. However, after adjusting the selection criteria,&lt;br /&gt;
&lt;br /&gt;
the result is still the case.&lt;br /&gt;
&lt;br /&gt;
2. Comparion the SVM results with the eer of t-norm, the results show that the number of FA + PR is similar.&lt;br /&gt;
&lt;br /&gt;
3. Read the book &amp;quot;speech communication&amp;quot;, understand the speech prodution and acoustic phonetics.&lt;br /&gt;
&lt;br /&gt;
Next Week&lt;br /&gt;
&lt;br /&gt;
1. With the additional knowledge from cohort, increasing the feature dimension by adding cohort score and score difference.&lt;br /&gt;
&lt;br /&gt;
2. Increase the number of SVM iterations.&lt;br /&gt;
&lt;br /&gt;
3. Go on reading the book &amp;quot;speech communication&amp;quot;&lt;/div&gt;</summary>
		<author><name>Lilt</name></author>	</entry>

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