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		<title>Lantian Li 2015-11-30 - 版本历史</title>
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		<updated>2026-04-04T16:24:49Z</updated>
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	<entry>
		<id>http://www.cslt.org/mediawiki/index.php?title=Lantian_Li_2015-11-30&amp;diff=17821&amp;oldid=prev</id>
		<title>Lilt：以“Weekly Summary  1. Go on my deep speaker embedding tasks:  1). knowledge transfer for i-vector -- working with Zhiyuan Zhang.  --hold  2). metric learning using line...”为内容创建页面</title>
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				<updated>2015-11-30T14:31:31Z</updated>
		
		<summary type="html">&lt;p&gt;以“Weekly Summary  1. Go on my deep speaker embedding tasks:  1). knowledge transfer for i-vector -- working with Zhiyuan Zhang.  --hold  2). metric learning using line...”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. Go on my deep speaker embedding tasks:&lt;br /&gt;
&lt;br /&gt;
1). knowledge transfer for i-vector -- working with Zhiyuan Zhang.&lt;br /&gt;
&lt;br /&gt;
--hold&lt;br /&gt;
&lt;br /&gt;
2). metric learning using linear transform.&lt;br /&gt;
&lt;br /&gt;
Writing the technical report. -- Done !&lt;br /&gt;
&lt;br /&gt;
2. DNN-ivector -- on the training process.&lt;br /&gt;
&lt;br /&gt;
3. SUSR paper.&lt;br /&gt;
&lt;br /&gt;
The baseline of GMM-UBM and i-vector have been done. &lt;br /&gt;
&lt;br /&gt;
As shown in CVSS 425. The i-vecotr + PLDA is much better than GMM-UBM.&lt;br /&gt;
&lt;br /&gt;
Next Week&lt;br /&gt;
&lt;br /&gt;
1. Go on the task 2 and 3.&lt;/div&gt;</summary>
		<author><name>Lilt</name></author>	</entry>

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