“2019-01-09”版本间的差异

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（以“{| class="wikitable" !People !! Last Week !! This Week !! Task Tracking (<font color="red">DeadLine</font>) |- |- |Yibo Liu || * || * * || * |- |- |Xiu...”为内容创建页面）
 
 
（8位用户的17个中间修订版本未显示）
第9行： 第9行：
 
|Yibo Liu
 
|Yibo Liu
 
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* Improved Iambics generation.
 +
* Learned about GAN and VAE.
 
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*  
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* Try to implement VAE in the existing model.
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*  
+
* Try to implement BERT.
 +
* Improve the quality of Iambics.
 
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*   
 
*   
第23行： 第25行：
 
|Xiuqi Jiang
 
|Xiuqi Jiang
 
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* Went deeper into current model and discussed about the possibility of VAE
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* Song iambics can now be generated and different styles of tunes are available
−
*
+
 
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* Polish up the iambics parts
 
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*   
 
*   
第38行： 第39行：
 
|Jiayao Wu
 
|Jiayao Wu
 
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−
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* finished the speech book -- [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Kws.pdf kws]
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*  
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* doing experiment of node -pruning on WSJ chain model
 
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* keep on node-pruning research
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*
+
 
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第53行： 第53行：
 
|Zhaodi Qi
 
|Zhaodi Qi
 
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* Run LID (about Chinese English and Japanese) and Control configs_size within 20M，But it still running.
−
*  
+
* Data segmentation completed, and Waiting for test.
 
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−
*  
+
* Finish the speech book
 +
* Completion the tdnn system performance comparison of test sets of different lengths
 
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*   
第67行： 第68行：
 
|Jiawei Yu
 
|Jiawei Yu
 
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−
*  
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* Done for max-margin recipe.
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*  
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* write the speech book.
 +
* learn to use Tensorflow for attention experiment.
 
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−
*  
+
* finish the emotion recognition speech book.
−
*  
+
* Keep learning the Tensorflow and move max-margin experiment to this platform.
−
* 
+
 
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*   
 
*   
第81行： 第82行：
 
|Yunqi Cai
 
|Yunqi Cai
 
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−
*
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*Run wsj data; Read paper about RNN-LM
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*Use RNN-LM to rescore the wsj data
 
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*
 
*
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第92行： 第93行：
 
|Dan He
 
|Dan He
 
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−
*  
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* Compared the inference time, but the results is not well.
 +
*After TT decomposing the two full-connection layers, it is found that the testing accuracy is very low.
 
||
 
||
−
*
+
*According to some problems found in the experiment, continue to do comparative experiments and analyze the reasons.
−
*
+
 
||
 
||
 
*
 
*
第106行： 第107行：
 
|Yang Zhang
 
|Yang Zhang
 
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*  
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* Wrote a brief [https://github.com/zyzisyz/VPR-wx-client document]
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*
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* submited the source code to [https://gitlab.com/zyzisyz/nebula-listen GitLab].
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*
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* revise for my school subjects and prepare for the final-term examinations.
 
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*   
 
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2019年1月9日 (三) 04:32的最后版本

People Last Week This Week Task Tracking (DeadLine)
Yibo Liu
  • Improved Iambics generation.
  • Learned about GAN and VAE.
  • Try to implement VAE in the existing model.
  • Try to implement BERT.
  • Improve the quality of Iambics.
Xiuqi Jiang
  • Went deeper into current model and discussed about the possibility of VAE
  • Song iambics can now be generated and different styles of tunes are available
  • Polish up the iambics parts
Jiayao Wu
  • finished the speech book -- kws
  • doing experiment of node -pruning on WSJ chain model
  • keep on node-pruning research
Zhaodi Qi
  • Run LID (about Chinese English and Japanese) and Control configs_size within 20M，But it still running.
  • Data segmentation completed, and Waiting for test.
  • Finish the speech book
  • Completion the tdnn system performance comparison of test sets of different lengths
Jiawei Yu
  • Done for max-margin recipe.
  • write the speech book.
  • learn to use Tensorflow for attention experiment.
  • finish the emotion recognition speech book.
  • Keep learning the Tensorflow and move max-margin experiment to this platform.
Yunqi Cai
  • Run wsj data; Read paper about RNN-LM
  • Use RNN-LM to rescore the wsj data
Dan He
  • Compared the inference time, but the results is not well.
  • After TT decomposing the two full-connection layers, it is found that the testing accuracy is very low.
  • According to some problems found in the experiment, continue to do comparative experiments and analyze the reasons.
Yang Zhang
  • revise for my school subjects and prepare for the final-term examinations.
取自“http://index.cslt.org/mediawiki/index.php?title=2019-01-09&oldid=31963”