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		<title>Lantian Li 2015-04-08 - 版本历史</title>
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		<updated>2026-04-09T04:57:45Z</updated>
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	<entry>
		<id>http://index.cslt.org/mediawiki/index.php?title=Lantian_Li_2015-04-08&amp;diff=14588&amp;oldid=prev</id>
		<title>Lilt：以“Weekly Summary  1. Addtional experiments are made for semi text-independent SV based on d-vector.  Results show that phone posteriors (without utterance CMVN but mak...”为内容创建页面</title>
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				<updated>2015-04-08T14:25:08Z</updated>
		
		<summary type="html">&lt;p&gt;以“Weekly Summary  1. Addtional experiments are made for semi text-independent SV based on d-vector.  Results show that phone posteriors (without utterance CMVN but mak...”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. Addtional experiments are made for semi text-independent SV based on d-vector.&lt;br /&gt;
&lt;br /&gt;
Results show that phone posteriors (without utterance CMVN but make Global CMVN)  &lt;br /&gt;
&lt;br /&gt;
combined with Fbanks (without utterance CMVN but make Global CMVN) as DNN input feature&lt;br /&gt;
&lt;br /&gt;
performs the best.   &lt;br /&gt;
&lt;br /&gt;
2. Addtional experiments are made for text-dependent SV on d-vector. Aiming to compare the performance between &lt;br /&gt;
&lt;br /&gt;
CNN and DNN. &lt;br /&gt;
&lt;br /&gt;
Results show that the performance of d-vectors extracted from the traditional DNN are better than CNN's on this text-dependent SV task.&lt;br /&gt;
&lt;br /&gt;
3. Prepare for the cohort-based classfication task in score-level on GMM-UBM system. &lt;br /&gt;
&lt;br /&gt;
Next Week&lt;br /&gt;
&lt;br /&gt;
1. Go on the task 2, 3.&lt;/div&gt;</summary>
		<author><name>Lilt</name></author>	</entry>

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