“2019-02-20”版本间的差异

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（8位用户的9个中间修订版本未显示）
第9行： 第9行：
 
|Yibo Liu
 
|Yibo Liu
 
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* Reconstructed the model on pytorch.
 
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* 1.Tune the parameters and train a model with good results.
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* 2.Add planning and polishing procedure.
 
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第22行： 第23行：
 
|Xiuqi Jiang
 
|Xiuqi Jiang
 
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* Reproducing the planning part and provide a simple framework of planning procedure.
 
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* Post polishing still remains to be finished.
 
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第35行： 第36行：
 
|Jiayao Wu
 
|Jiayao Wu
 
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*finished several experiments on node-sparseness
 
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*keep on doing experiments
 
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第48行： 第49行：
 
|Zhaodi Qi
 
|Zhaodi Qi
 
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* finished x-vector system
 
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* improve the system ，because the results is bad.
 
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第61行： 第62行：
 
|Jiawei Yu
 
|Jiawei Yu
 
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* Familiar with the code of attention experiment.
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* Modify the code to achieve phonetic attention.
 
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*  finish the phonetic attention experiment.
 
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第87行： 第89行：
 
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*Continue to study the time complexity of TT-decomposition
 
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第98行： 第100行：
 
|Yang Zhang
 
|Yang Zhang
 
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* learn tf
 
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* did some experiments in mnist dataset
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第111行： 第113行：
 
|Wenwei Dong
 
|Wenwei Dong
 
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*ivector+fbank as feature compare with fbank in GOP
 
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*read papers, find some new speaker adaptation methods
 
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2019年2月20日 (三) 04:51的最后版本

People Last Week This Week Task Tracking (DeadLine)
Yibo Liu
  • Reconstructed the model on pytorch.
  • 1.Tune the parameters and train a model with good results.
  • 2.Add planning and polishing procedure.
Xiuqi Jiang
  • Reproducing the planning part and provide a simple framework of planning procedure.
  • Post polishing still remains to be finished.
Jiayao Wu
  • finished several experiments on node-sparseness
  • keep on doing experiments
Zhaodi Qi
  • finished x-vector system
  • improve the system ，because the results is bad.
Jiawei Yu
  • Familiar with the code of attention experiment.
  • Modify the code to achieve phonetic attention.
  • finish the phonetic attention experiment.
Yunqi Cai
  • 1,use the ASR test_data set ref.txt to test the original bert and then compare with the fine-tuned Bert.
  • 2,compare the difference between hyp.text which comes from ASR test results, and investigate how to mask the error in the sentence of the ASR result.
  • 3,set a rule among all the result(hyp.text) to find out the error to be masked.
Dan He
  • Continue to study the time complexity of TT-decomposition
Yang Zhang
  • learn tf
  • did some experiments in mnist dataset
Wenwei Dong
  • ivector+fbank as feature compare with fbank in GOP
  • read papers, find some new speaker adaptation methods
取自“http://index.cslt.org/mediawiki/index.php?title=2019-02-20&oldid=32228”