“2018-12-26”版本间的差异

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（4位用户的5个中间修订版本未显示）
第10行： 第10行：
 
|Yibo Liu
 
|Yibo Liu
 
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* Cleaned up code of predict part of Vivi. Organized the files. Simplified the instructions. Wrote document.
 
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* Add Song Iambics mode. Read paper of Conditional VAE.
 
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第37行： 第37行：
 
|Jiayao Wu
 
|Jiayao Wu
 
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*finished ASR technique report
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*doing pruning experiment
 
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* continue to do pruning experiment
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* write the assigned chapter of SPEECH BOOK
 
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第53行： 第55行：
 
* Convert the word version of the Bi-weekly task report to the latex version and upload
 
* Convert the word version of the Bi-weekly task report to the latex version and upload
 
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* Continue to build the DID system
 
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第67行： 第69行：
 
* read max-margin code and paper
 
* read max-margin code and paper
 
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* extract d-vector and phone vector by max-margin
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* extract d-vector and phone vector for max-margin
 
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2018年12月26日 (三) 04:31的最后版本

People Last Week This Week Task Tracking (DeadLine)
Yibo Liu
  • Cleaned up code of predict part of Vivi. Organized the files. Simplified the instructions. Wrote document.
  • Add Song Iambics mode. Read paper of Conditional VAE.
Xiuqi Jiang
  • Finished cleaning up the code of ViVi and completed the document.
  • Did some reconstruction and made training and predicting processes more clearly.
  • Try to build demo of generating iambics.
Jiayao Wu
  • finished ASR technique report
  • doing pruning experiment
  • continue to do pruning experiment
  • write the assigned chapter of SPEECH BOOK
Zhaodi Qi
  • Completed acoustic model of dialect
  • Convert the word version of the Bi-weekly task report to the latex version and upload
  • Continue to build the DID system
Jiawei Yu
  • run thch30 recipe for d-vector and asr model
  • read max-margin code and paper
  • extract d-vector and phone vector for max-margin
Yunqi Cai
  • Learn how to use Xhell, Linux and Kaldi.
  • Be familiar with the functions of Kaldi through run "Thchs30" on it.
  • Run through "Thchs30" on Kaldi and learn every steps
Dan He
  • Run the experimental code of the paper about tensorizing nerual networks
  • Have not finished yet
  • Contiune running the code
  • Understand the experimental code
Yang Zhang
  • Built a more reliable speaker recognition service in our server.
  • Now, we can test and use 3 kind of VPR models(ours, Microsoft and SpeakIN) in our Wechat APP.
  • Fix some small bugs, beautify web UI design.
  • Prepare for my final-term examinations.
取自“http://index.cslt.org/mediawiki/index.php?title=2018-12-26&oldid=31711”