“2022-10-10”版本间的差异

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(10位用户的12个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
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* Literature review for production model
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* Review for TASLP
 
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*
第28行: 第29行:
 
|Ying Shi
 
|Ying Shi
 
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*  
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* Experiments and paper for icassp 2023
 
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* continue on icassp 2023
 
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第39行: 第40行:
 
|Chen Chen
 
|Chen Chen
 
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*  
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* Compare experments on lrw1000
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* hearing test website
 
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* web for music
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* hearing test
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* [https://overleaf.tsinghua.edu.cn/project/632d74aa5f447800a0502aaa paper]
 
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*   
第50行: 第54行:
 
|Pengqi Li
 
|Pengqi Li
 
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* Experiment and summary of gradient based methods
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* Experiment and summary of gradient based methods [https://z1et6d3xtb.feishu.cn/docx/doxcn5QLpYfgqhCxvuwteU854mb Outline]
 
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* finish it
 
* finish it
第62行: 第66行:
 
|Zixi Yan
 
|Zixi Yan
 
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* Graduation thesis
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* Work report
 
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第83行: 第88行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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*
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* Extract embedding
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* Process the data
 
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*
 
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第105行: 第111行:
 
|Renmiao Chen
 
|Renmiao Chen
 
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*  
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* Generate LiRAVD
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* Extract embedding and compute score
 
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* Finish paper writing
 
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第114行: 第121行:
 
|Wenqiang Du
 
|Wenqiang Du
 
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*
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* Translation overview
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*  
 
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第123行: 第131行:
 
|Wan Lin
 
|Wan Lin
 
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*
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* weekly report
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* experiment of shuffle using scenarios
 
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*
 
*
第132行: 第141行:
 
|Tianhao Wang
 
|Tianhao Wang
 
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*  
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* more experiment on time mask method
 
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* How do deep speaker models treat silence and noises
 
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*   
第140行: 第149行:
 
|Xipin Wei
 
|Xipin Wei
 
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* The experiment of mutil-track music generation
 
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* The experiment of mutil-track music generation
 
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2022年10月10日 (一) 10:53的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Literature review for production model
  • Review for TASLP
Lantian Li
  • APT-Lab progress
  • Hard trials (derivation and listening)
  • Overview paper
Ying Shi
  • Experiments and paper for icassp 2023
  • continue on icassp 2023
Chen Chen
  • Compare experments on lrw1000
  • hearing test website
  • web for music
  • hearing test
  • paper
Pengqi Li
  • Experiment and summary of gradient based methods Outline
  • finish it
Zixi Yan
  • Graduation thesis
  • Work report
Sirui Li
Haoyu Jiang
  • Extract embedding
  • Process the data
Ruihai Hou
Renmiao Chen
  • Generate LiRAVD
  • Extract embedding and compute score
  • Finish paper writing
Wenqiang Du
  • Translation overview
Wan Lin
  • weekly report
  • experiment of shuffle using scenarios
Tianhao Wang
  • more experiment on time mask method
  • How do deep speaker models treat silence and noises
Xipin Wei
  • The experiment of mutil-track music generation
  • The experiment of mutil-track music generation