“Asr-nsfc-weekly-2016-11-07”版本间的差异

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{| class="wikitable"
 
{| class="wikitable"
 
!Date!!People !! Last Week !! This Week
 
!Date!!People !! Last Week !! This Week
 
 
 
 
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| rowspan="5"|2016.10.31
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| rowspan="5"|2016.11.07
|Hang Luo 
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*  Know the source code of joint training.
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*  Experiments on joint training, change the receive computation blocks and try non-symmetric structure.The result expected on this Thursday.
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*  Find paper about joint training to read.
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*  Try new experiments according to last two experiments.
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|清华
 
|清华
 
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DNN and TDNN visualization;CNN baseline(th30) new model DNN+lstm(th30);ML-book [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=shiying&step=view_request&cvssid=569 slide]
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准备训练哈语文本数据,大量文本数据得到
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*  检查哈语语音数据
 
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ML-book continue DNN visualization maybe I should find a new tool t-sne is not powerful enough
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完成训练哈语模型
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|新大
 
|新大
 
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* Joint-training (GMM baseline)
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* xx
 
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* Joint-training
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* xx
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|民大  
 
|民大  
 
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* Joint-training on TASLP (DNN i-vector parts). [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=tangzy&step=view_request&cvssid=573]
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* xx
* Joint-training on SRE and LRE (Neural model is over-fitting...). [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=tangzy&step=view_request&cvssid=574]
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* xx
 
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* Joint-training on TASLP.
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* xx
* Joint-training on SRE and LRE.
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* xx
 
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2016年11月14日 (一) 00:40的最后版本

Date People Last Week This Week
2016.11.07
清华
  • 准备训练哈语文本数据,大量文本数据得到
  • 检查哈语语音数据
  • 完成训练哈语模型
新大
  • xx
  • xx
民大
  • xx
  • xx
  • xx
  • xx