“2020-03-30”版本间的差异

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（7位用户的7个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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* Establish neural Bayes theory
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* Unify the subspace DNF and NDA
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* More investigation on neural PCA
 
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* More work on neural PCA
 +
* Investigate incremental training algorithm
 
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第31行： 第34行：
 
|Zhiyuan Tang
 
|Zhiyuan Tang
 
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* Training NDA for TTS (also used for speaker conversion/speaker recognition).
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* A patent tech doc about flow encryptor.
 
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* Analysis the NDA sys.
 
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第42行： 第46行：
 
|Lantian Li
 
|Lantian Li
 
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* Failed the VAE-based Bayesian scoring.
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* Review Bayesian hypothesis test.
 
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* Study on NDA scoring.
 
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第53行： 第58行：
 
|Ying Shi
 
|Ying Shi
 
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* Investigate how to apply mse loss on parallel flow
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*  experiment about  unsupervised sequential flow
 
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* train unsupervised sequential flow
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* experiment about supervised sequential flow
 
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第86行： 第93行：
 
|Yue Fan
 
|Yue Fan
 
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* Data collection
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* Program processing
 
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*Train dnf model with gun&nongun and test
 
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第97行： 第105行：
 
|Jiawen Kang
 
|Jiawen Kang
 
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* Adapting meta learning code to speaker recognition task.
 
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* Running experiments.
 
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第108行： 第116行：
 
|Ruiqi Liu
 
|Ruiqi Liu
 
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* Study meta-learning experiments and modify the code.
 
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* Continue to study meta-learning experiments.
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* Provide ASR training tools for Shengyuan company.
 
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第137行： 第146行：
 
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|Haolin Chen
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* Cooperate with Shi Ying on experiments
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* ...
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2020年3月30日 (一) 00:05的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Establish neural Bayes theory
  • Unify the subspace DNF and NDA
  • More investigation on neural PCA
  • More work on neural PCA
  • Investigate incremental training algorithm
Yunqi Cai
  • Did some experiments on VAE Bayes score
  • Apply NDA to xvector's deep normlization
  • Investigate the literature on Deep generative model
  • keep on literature Investigation
  • Give some consistent reults on NDA-xvector deep normlization
Zhiyuan Tang
  • Training NDA for TTS (also used for speaker conversion/speaker recognition).
  • A patent tech doc about flow encryptor.
  • Analysis the NDA sys.
Lantian Li
  • Failed the VAE-based Bayesian scoring.
  • Review Bayesian hypothesis test.
  • Study on NDA scoring.
Ying Shi
  • Investigate how to apply mse loss on parallel flow
  • experiment about unsupervised sequential flow
  • train unsupervised sequential flow
  • experiment about supervised sequential flow
Wenqiang Du
Haoran Sun
Yue Fan
  • Data collection
  • Program processing
  • Train dnf model with gun&nongun and test
Jiawen Kang
  • Adapting meta learning code to speaker recognition task.
  • Running experiments.
Ruiqi Liu
  • Study meta-learning experiments and modify the code.
  • Continue to study meta-learning experiments.
  • Provide ASR training tools for Shengyuan company.
Sitong Cheng
Zhixin Liu
Haolin Chen
  • Cooperate with Shi Ying on experiments
  • ...
取自“http://index.cslt.org/mediawiki/index.php?title=2020-03-30&oldid=34847”