“2020-02-17”版本间的差异

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(9位用户的9个中间修订版本未显示)
第20行: 第20行:
 
|Yunqi Cai
 
|Yunqi Cai
 
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* retest the plda score(lenth norm false)
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* train and test sota xvector
 
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* more investigation on Between class var of DNF
 
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第31行: 第32行:
 
|Zhiyuan Tang
 
|Zhiyuan Tang
 
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* Confirmed that Glow can disentangle audio (content/non-content, silence/non-silence, to be confirmed)
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* Noise audio cannot be disentangled.
 
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* Try to disentangel noise audio.
 
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第42行: 第44行:
 
|Lantian Li
 
|Lantian Li
 
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* Update SOTA.
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* Complete NF + LDA/PLDA.
 
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* DNF + LDA/PLDA
 
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第88行: 第91行:
 
|Yue Fan
 
|Yue Fan
 
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*Arrange the work of the CN2
 
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*baseline on svm&gmm
 
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第99行: 第102行:
 
|Jiawen Kang
 
|Jiawen Kang
 
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* Prepare SOTA vectors
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* Prepare CNceleb as test set
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* Continute experiments
 
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* Continute experiments
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* evaluatte models on diffierent geners
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* Prepare paper writing
 
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第110行: 第117行:
 
|Ruiqi Liu
 
|Ruiqi Liu
 
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* Experiments about ResNet and prepare vectors.
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* Supplement the last experimental data  and prepare paper writing.
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第121行: 第130行:
 
|Sitong Cheng
 
|Sitong Cheng
 
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* modify DNF code
 
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* prepare paper writing
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* step 2&3 with DNF
 
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第132行: 第142行:
 
|Zhixin Liu
 
|Zhixin Liu
 
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* Get initial conclusion of task 1
 
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* Analyze results
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* Prepare DNF
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|Haolin Chen
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* Run experiments with white noise, consider adding discriminative structure
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* Run experiments with realnoise, Evaluation on result.
 
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2020年2月17日 (一) 00:14的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Code cleaning for DNF
  • More review on DNF theory
  • More review on speech enhancement with deep generative models
  • More investigation on subspace DNF
  • Draft paper for DNF properties
Yunqi Cai
  • retest the plda score(lenth norm false)
  • train and test sota xvector
  • more investigation on Between class var of DNF
Zhiyuan Tang
  • Confirmed that Glow can disentangle audio (content/non-content, silence/non-silence, to be confirmed)
  • Noise audio cannot be disentangled.
  • Try to disentangel noise audio.
Lantian Li
  • Update SOTA.
  • Complete NF + LDA/PLDA.
  • DNF + LDA/PLDA
Ying Shi
  • double flow denoise experiment and visualization
  • DAE baseline
  • DAE baseline
  • timit ASR baseline
Wenqiang Du
Haoran Sun
Yue Fan
  • Arrange the work of the CN2
  • baseline on svm&gmm
Jiawen Kang
  • Prepare SOTA vectors
  • Prepare CNceleb as test set
  • Continute experiments
  • Continute experiments
  • evaluatte models on diffierent geners
  • Prepare paper writing
Ruiqi Liu
  • Experiments about ResNet and prepare vectors.
  • Supplement the last experimental data and prepare paper writing.
Sitong Cheng
  • modify DNF code
  • prepare paper writing
  • step 2&3 with DNF
Zhixin Liu
  • Get initial conclusion of task 1
  • Analyze results
  • Prepare DNF
Haolin Chen
  • Run experiments with white noise, consider adding discriminative structure
  • Run experiments with realnoise, Evaluation on result.