“2020-04-27”版本间的差异

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(6位用户的6个中间修订版本未显示)
第6行: 第6行:
 
|Dong Wang
 
|Dong Wang
 
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* Speech Book two chapters completed
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* Check speech book
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第20行: 第17行:
 
|Yunqi Cai
 
|Yunqi Cai
 
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* speach book check
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* check speach book  
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第34行: 第29行:
 
|Zhiyuan Tang
 
|Zhiyuan Tang
 
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* Speech book revise.
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* Autoregressive glow.
 
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* Deliver speech book.
 
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第46行: 第41行:
 
|Lantian Li
 
|Lantian Li
 
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* Solve the mismatch between NL scoring and PLDA scoring.
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* Study the relationship between NDA and PLDA.
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* Study the length normalization before NL/PLDA scoring
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* Check speech book
 
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* Check speech book
 
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第93行: 第90行:
 
|Jiawen Kang
 
|Jiawen Kang
 
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* Finish experiments about deeper net.
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* Repeat experiments on singing, moive, play.
 
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* Write experiments report.
 
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第104行: 第102行:
 
|Ruiqi Liu
 
|Ruiqi Liu
 
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* Multi-Scene Generalization test via meta-learning.
 
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* Organize all the results and make an experiment report.
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2020年4月27日 (一) 00:24的最后版本

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People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Speech Book two chapters completed
  • Check speech book
Yunqi Cai
  • check speach book
Zhiyuan Tang
  • Speech book revise.
  • Autoregressive glow.
  • Deliver speech book.
Lantian Li
  • Solve the mismatch between NL scoring and PLDA scoring.
  • Study the relationship between NDA and PLDA.
  • Study the length normalization before NL/PLDA scoring
  • Check speech book
  • Check speech book
Ying Shi
  • Experiments about condition + prior methods for speech enhancement
  • Experiments about self supervised enhancement method
  • Check book and finish it
  • self supervised enhancement method
Haoran Sun
Yue Fan
  • Get 1000-people data
  • Complete the data collection of cn-celeb2
  • Continue the experiments of gun detection
Jiawen Kang
  • Finish experiments about deeper net.
  • Repeat experiments on singing, moive, play.
  • Write experiments report.
Ruiqi Liu
  • Multi-Scene Generalization test via meta-learning.
  • Organize all the results and make an experiment report.
Sitong Cheng
Zhixin Liu
Haolin Chen
  • Rerun experiments on double flow structures with white noise
  • Test models on white noise
  • Rerun experiments on double flow structures with other enrionmental noise
  • Semi-supervised training with double flow