“Asr-nsfc-weekly-2016-11-07”版本间的差异

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(以“{| class="wikitable" !Date!!People !! Last Week !! This Week |- | rowspan="5"|2016.10.31 |Hang Luo || * Know the source code of joint training. * Experiments...”为内容创建页面)
 
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| rowspan="5"|2016.10.31
 
| rowspan="5"|2016.10.31
|Hang Luo 
 
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*  Know the source code of joint training.
 
*  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.
 
*  Try new experiments according to last two experiments.
 
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2016年11月7日 (一) 02:55的版本

Date People Last Week This Week


2016.10.31


清华
  • DNN and TDNN visualization;CNN baseline(th30) new model DNN+lstm(th30);ML-book slide
  • ML-book continue DNN visualization maybe I should find a new tool t-sne is not powerful enough
新大
  • Joint-training (GMM baseline)
  • Joint-training
民大
  • Joint-training on TASLP (DNN i-vector parts). [1]
  • Joint-training on SRE and LRE (Neural model is over-fitting...). [2]
  • Joint-training on TASLP.
  • Joint-training on SRE and LRE.