“2020-03-23”版本间的差异

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|Zhiyuan Tang
 
|Zhiyuan Tang
 
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* Multi-conditioned glow, on how to involving in spk info.
 
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* Continue following blow strategies, or adversarial examples.
 
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|Lantian Li
 
|Lantian Li
 
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* Complete the study on back-end scoring (python vs. Kaldi).
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* Quantitative analysis on DNF model.
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* Obtain the basic result on VAE-based Bayesian scoring.
 
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* Study on NDA scoring.
 
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|Wenqiang Du
 
|Wenqiang Du
 
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*test DNF based ASR  system
 
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|Sitong Chengs
 
|Sitong Chengs
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* Finish training with fbank
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* Made some tests on the model
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* Extract more feature with higher dimension
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* Make tests on variable models
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|Zhixin Liu
 
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|Haolin Chen
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* Some investigation on the structure of glow
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* More experiments
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* Prepare paper
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2020年10月19日 (一) 01:07的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • More investigation on subspace DNF.
  • Coine the NDA theory, passed some simulation tests.
  • Some ideas on Beyasian scoring and closed-form training for variational Bayes.
  • Drafted the channel-transform paper
  • More investigation on subspace DNF & NDA. They look closely connected.
Yunqi Cai
  • Some experiments on EBMs model
  • Modify the DNF patent
  • Coding on VAE based bayes score model
  • More experiments of VAE based bayes score model
Zhiyuan Tang
  • Multi-conditioned glow, on how to involving in spk info.
  • Continue following blow strategies, or adversarial examples.
Lantian Li
  • Complete the study on back-end scoring (python vs. Kaldi).
  • Quantitative analysis on DNF model.
  • Obtain the basic result on VAE-based Bayesian scoring.
  • Study on NDA scoring.
Ying Shi
  • Summarize result about current model.
  • more analysis about speech enhancement via Flow
  • More experiments based on current result
Wenqiang Du
  • test DNF based ASR system
Haoran Sun
Yue Fan
  • Looking for data sources
  • Upload data and program processing
  • Solve the remaining data collection issues
  • Processing 500 people with the pipeline program
Jiawen Kang
  • Speaker vector distribution experiments.
  • Arranging tf-kaldi codes.
  • Runing meta learning experiments.
Ruiqi Liu
  • Arrang experiments code and observe the distribution of speakers in different scenes.
  • Learn mate-learning and do experiments.
Sitong Chengs
  • Finish training with fbank
  • Made some tests on the model
  • Extract more feature with higher dimension
  • Make tests on variable models
Zhixin Liu
Zhixin Liu
Haolin Chen
  • Some investigation on the structure of glow
  • More experiments
  • Prepare paper
取自“http://index.cslt.org/mediawiki/index.php?title=2020-03-23&oldid=35540”