http://index.cslt.org/mediawiki/index.php?action=history&feed=atom&title=0920_-_Lantian_Li
0920 - Lantian Li - 版本历史
2026-04-07T14:56:29Z
本wiki的该页面的版本历史
MediaWiki 1.23.3
http://index.cslt.org/mediawiki/index.php?title=0920_-_Lantian_Li&diff=11431&oldid=prev
2014年9月22日 (一) 10:22 Lilt
2014-09-22T10:22:56Z
<p></p>
<table class='diff diff-contentalign-left'>
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">2014年9月22日 (一) 10:22的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第11行：</td>
<td colspan="2" class="diff-lineno">第11行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>3). Re-score for the four parts on the cohort set.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>3). Re-score for the four parts on the cohort set.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>4). Score ranking for each part and draw score-rank distrubution <del class="diffchange diffchange-inline">diagram</del>.  </div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>4). Score ranking for each part and draw score-rank distrubution <ins class="diffchange diffchange-inline">diagrams</ins>.  </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>Next Week</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>Next Week</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>1. Go on the task1 to explore the inherent law of re-scoring results and <del class="diffchange diffchange-inline">try to </del>use the cohort set to  </div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>1. Go on the task1 to explore the inherent law of re-scoring results and use the cohort set to  </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>reduce the error rate on the "Sensitive True Speaker"/"Sensitive Imp Speaker".</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>reduce the error rate on the "Sensitive True Speaker"/"Sensitive Imp Speaker".</div></td></tr>
</table>
Lilt
http://index.cslt.org/mediawiki/index.php?title=0920_-_Lantian_Li&diff=11430&oldid=prev
Lilt：以“Weekly Summary 1. To go on studying a scoring method on GMM-UBM aiming to design a cohort reference speaker models. 1). Implement the K-means algorithem to cluster...”为内容创建页面
2014-09-22T10:22:07Z
<p>以“Weekly Summary 1. To go on studying a scoring method on GMM-UBM aiming to design a cohort reference speaker models. 1). Implement the K-means algorithem to cluster...”为内容创建页面</p>
<p><b>新页面</b></p><div>Weekly Summary<br />
<br />
1. To go on studying a scoring method on GMM-UBM aiming to design a cohort reference speaker models.<br />
<br />
1). Implement the K-means algorithem to cluster the training set in order for organizing the cohort set.<br />
<br />
2). Make the verfication score results dividied into four parts. --"Real True Speaker"/"Sensitive True <br />
<br />
Speaker"/"Sensitive Imp Speaker"/"Abosulte Imp Speaker".<br />
<br />
3). Re-score for the four parts on the cohort set.<br />
<br />
4). Score ranking for each part and draw score-rank distrubution diagram. <br />
<br />
Next Week<br />
<br />
1. Go on the task1 to explore the inherent law of re-scoring results and try to use the cohort set to <br />
<br />
reduce the error rate on the "Sensitive True Speaker"/"Sensitive Imp Speaker".</div>
Lilt