“2020-07-06”版本间的差异

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|Zhiyuan Tang
 
|Zhiyuan Tang
 
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* BetaFlow.
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* Layer-by-layer training for flow.
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* Det-constant flow.
 
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* Analyse det-constant (mostly 1) flow.
 
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第41行: 第43行:
 
|Lantian Li
 
|Lantian Li
 
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* Enroll-test mismatch (data collection)
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* PyPLDA
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* Deisgn on flow-based scoring.
 
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* Flow-based scoring.
 
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第52行: 第56行:
 
|Ying Shi
 
|Ying Shi
 
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* BP + length norm enhancement method
 
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* Sub space flow
 
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* Continue on Sub space flow
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** Mult-SRN variance
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** Cyclie loss
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* Sub space flow plan B
 
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第75行: 第82行:
 
|Yue Fan
 
|Yue Fan
 
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*Baseline for sound event detection
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*CN 's MP4 files organization
 
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*Experiments with different data and models
 
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第86行: 第94行:
 
|Jiawen Kang
 
|Jiawen Kang
 
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* Write multi-condition paper.
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* Arrange near-far data.
 
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* Arrange cross-channel data.
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* Modify code for new data.
 
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第99行: 第107行:
 
|Ruiqi Liu
 
|Ruiqi Liu
 
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* Paper draft
 
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* Complete the experiment and modify the paper
 
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2020年7月6日 (一) 00:04的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • More deisgn on prior-based denoising
  • Investigation on the optimum of NL with respect to liklihood ratio test
  • Complete the deepnorm2 paper
  • Continue on the neural Bayes book
Yunqi Cai
Zhiyuan Tang
  • BetaFlow.
  • Layer-by-layer training for flow.
  • Det-constant flow.
  • Analyse det-constant (mostly 1) flow.
Lantian Li
  • Enroll-test mismatch (data collection)
  • PyPLDA
  • Deisgn on flow-based scoring.
  • Flow-based scoring.
Ying Shi
  • BP + length norm enhancement method
  • Sub space flow
  • Continue on Sub space flow
    • Mult-SRN variance
    • Cyclie loss
  • Sub space flow plan B
Haoran Sun
Yue Fan
  • Baseline for sound event detection
  • CN 's MP4 files organization
  • Experiments with different data and models
Jiawen Kang
  • Write multi-condition paper.
  • Arrange near-far data.
  • Arrange cross-channel data.
  • Modify code for new data.
Ruiqi Liu
  • Paper draft
  • Complete the experiment and modify the paper
Haolin Chen
  • FFJORD/Glow test on BP denoising
  • Review papers on self-supervised learning in speech processing
  • Prepare for the report
  • Subspace method for denoising