Difference between revisions of "2020-05-25"

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|Ying Shi
 
|Ying Shi
 
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* compute the result about flow denoise and glow denoise on SDR  PESQ fwSNR
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* train new flow with both postive samples and negative samples
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* train RPCA baseline
 
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* finish the result form with RPCA and the new flow
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* train an energy model
 
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Revision as of 00:00, 25 May 2020

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Some experiments with flow-based denoising: GMM-based noise model, spectrum flow criterion.
  • Some literature reivew with deep denoising methods
  • More literature reivew for denosing
  • More literature review/theory design for NDA.
Yunqi Cai
Zhiyuan Tang
Lantian Li
Ying Shi
  • compute the result about flow denoise and glow denoise on SDR PESQ fwSNR
  • train new flow with both postive samples and negative samples
  • train RPCA baseline
  • finish the result form with RPCA and the new flow
  • train an energy model
Haoran Sun
Yue Fan
  • Check cn2
  • Gun data preparation
  • Do exprintments on mdl-cn
  • Perform more experiments on gunshot recognition with speaker recognition
Jiawen Kang
  • Organize meta-learning code
  • Check cn2
  • Prepare shared PPT
  • Prepare cross-channel and near-far data.
Ruiqi Liu
  • Kaldi baseline experiments on cn2.
  • Get some information about speakers to analyze cn2.
  • Other experiments.
Sitong Cheng
Zhixin Liu
Haolin Chen