“2020-04-20”版本间的差异

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第32行: 第32行:
 
|Zhiyuan Tang
 
|Zhiyuan Tang
 
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* Denoising speech with different colors of noise.
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* Speech book: kws chapter.
 
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* Continue the enhancement, nda.
 
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第44行: 第44行:
 
|Lantian Li
 
|Lantian Li
 
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* Go on study NDA scoring.(Fast convergence)
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* Verify the consistent on NDA + NL vs. PLDA scoring.
 
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第56行: 第55行:
 
|Ying Shi
 
|Ying Shi
 
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* Write speech book of minority chapter
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* Summary experiment about speech enhancement
 
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* Finish speech book
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* Make report about speech enhancement
 
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第92行: 第91行:
 
|Jiawen Kang
 
|Jiawen Kang
 
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* Experiments about loss function, NN depth.
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* read more papers about meta learning.
 
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* Try ft-based and metric-based mate learning.
 
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第103行: 第103行:
 
|Ruiqi Liu
 
|Ruiqi Liu
 
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* Meta-learning experiments.
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* ASR engine authorization for Shengyuan company.
 
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* Continue last week's work.
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第115行: 第115行:
 
|Sitong Cheng
 
|Sitong Cheng
 
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* some tests of DNF baseline
 
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* Use language information to replace pronunciation score
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* prepare a report
 
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第136行: 第137行:
 
|Haolin Chen
 
|Haolin Chen
 
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* Experiments on BP denoising
 
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* Finalize all results
 
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2020年4月20日 (一) 00:03的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Book chapter for language recognition and emotion recognition
  • Design prior + condition approach for speech enhancement
  • Complete the two chapters of the speech book
Yunqi Cai
  • some simulate experiments on VAE-NDA model
  • check ASR book
Zhiyuan Tang
  • Denoising speech with different colors of noise.
  • Speech book: kws chapter.
  • Continue the enhancement, nda.
Lantian Li
  • Go on study NDA scoring.(Fast convergence)
  • Verify the consistent on NDA + NL vs. PLDA scoring.
Ying Shi
  • Write speech book of minority chapter
  • Summary experiment about speech enhancement
  • Finish speech book
  • Make report about speech enhancement
Haoran Sun
Yue Fan
  • Download all the data of cn2
  • Processed 90% of data
  • Make poster and video of Icassp
  • Get 1000-people data
Jiawen Kang
  • Experiments about loss function, NN depth.
  • read more papers about meta learning.
  • Try ft-based and metric-based mate learning.
Ruiqi Liu
  • Meta-learning experiments.
  • ASR engine authorization for Shengyuan company.
  • Continue last week's work.
Sitong Cheng
  • some tests of DNF baseline
  • Use language information to replace pronunciation score
  • prepare a report
Zhixin Liu
Haolin Chen
  • Experiments on BP denoising
  • Finalize all results