“2019-12-02”版本间的差异

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（8位用户的12个中间修订版本未显示）
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|Yunqi Cai
 
|Yunqi Cai
 
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* trained LDA-flow with guass constrain on mean-vector
 
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* nonlinear LDA-flow：appending some couple layers (VP) before the linear layer
 
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|Lantian Li
 
|Lantian Li
 
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* APSIPA 2019 ending
 
 
* CN-Celeb egs
 
* CN-Celeb egs
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* Flow review
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* Flow review and Hire-Flow design
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* Hire-Flow  
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* Hire-Flow
 
* Hire-Flow
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|Ying Shi
 
|Ying Shi
 
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* review the code about flow and glow
 
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* Experiment about cvss 725
 
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|Wenqiang Du
 
|Wenqiang Du
 
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* Prepare for the experiment in my graduation thesis(CNN+TDNN+Attention）
 
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* Model parameter adjustment
 
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|Yue Liu
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* Run through the CeaOS source code
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* Completed the technical summary document of cmd module of CeaOS platform
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* Start to write module code
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* Plan data collection
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|Yue Fan
 
|Yue Fan
 
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* Environment configuration and data preprocessing
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* CN-Celeb egs
 
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* Experiences on flow
 
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|Jiawen Kang
 
|Jiawen Kang
 
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* Look into Flow applications;
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* Look into Flow applications & flow-based models;
 
*Hands on experiences about speech conversion;
 
*Hands on experiences about speech conversion;
 
*Graduate program application & Research proposal.
 
*Graduate program application & Research proposal.
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|Sitong Cheng
 
|Sitong Cheng
 
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* data preparation of ERJ
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* script of data augmentation with musan and thchs30
 
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* run glow of train set with noise to find the destination which noise is independence
 
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|Zhixin Liu
 
|Zhixin Liu
 
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* Get familiar with ERJ
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* data preparation of ERJ
 
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* train data using glow
 
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2019年12月2日 (一) 07:53的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Go through papers on ICASSP 2019 and Interspeech 2019
  • MelGan investigation
  • MelGan training
  • Interspeech 2019 and NIPS 2019 paper checking
Yunqi Cai
  • trained LDA-flow with guass constrain on mean-vector
  • nonlinear LDA-flow：appending some couple layers (VP) before the linear layer
Zhiyuan Tang
  • Trained a basic glow with timit.
  • Re-train the model with labels.
Lantian Li
  • CN-Celeb egs
  • Flow review and Hire-Flow design
  • Hire-Flow
Ying Shi
  • review the code about flow and glow
  • Experiment about cvss 725
Wenqiang Du
  • Prepare for the experiment in my graduation thesis(CNN+TDNN+Attention）
  • Model parameter adjustment
Yue Liu
  • Run through the CeaOS source code
  • Completed the technical summary document of cmd module of CeaOS platform
  • Start to write module code
  • Plan data collection
Haoran Sun
Yue Fan
  • Environment configuration and data preprocessing
  • CN-Celeb egs
  • Experiences on flow
Jiawen Kang
  • Look into Flow applications & flow-based models;
  • Hands on experiences about speech conversion;
  • Graduate program application & Research proposal.
  • Continue experiences about speech conversion;
  • Research proposal.
Ruiqi Liu
  • did experiments and read papers on ‘speech factorization’ and 'Glow'.
  • Learn some basics and pytorch.
  • Determine my research direction.
Sitong Cheng
  • data preparation of ERJ
  • script of data augmentation with musan and thchs30
  • run glow of train set with noise to find the destination which noise is independence
Zhixin Liu
  • Get familiar with ERJ
  • data preparation of ERJ
  • train data using glow
取自“http://cslt.org/mediawiki/index.php?title=2019-12-02&oldid=34392”