“2021-10-25”版本间的差异

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（10位用户的14个中间修订版本未显示）
第5行： 第5行：
 
|Dong Wang
 
|Dong Wang
 
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* Neural PCA paper
 
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* Neural PCA paper
 
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第16行： 第16行：
 
|Yunqi Cai
 
|Yunqi Cai
 
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* THS2021 experiments
 
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第27行： 第27行：
 
|Lantian Li
 
|Lantian Li
 
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* CNC response
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* Project delivery
 
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* Hard trials paper
 
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第55行： 第56行：
 
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|Tiankai Zhi
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|Chen Chen
 
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第68行： 第68行：
  
 
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|Chen Chen
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|Pengqi Li
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* audio important maps based mask
 
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第78行： 第78行：
  
 
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|Jingxin Shen
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|Qingyang Zhu
 
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第86行： 第86行：
 
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|Pengqi Li
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|Weida Liang
 
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* Publish the baseline test data on the website
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* Realize the cycle-loss model
 
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* More models with different layers and parameters need to be tested
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* Test whether the current model is better than baseline
 
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第98行： 第101行：
  
 
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|Qingyang Zhu
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|Zixi Yan
 
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* Tibetan text data download
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* Hyper-parameters finetuning
 
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* analyse reason of the problem of wav2vec-u in Tibetan
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* Hyper-parameters finetuning
 
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第108行： 第113行：
  
 
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|Weida Liang
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|Sirui Li
 
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* Tibetan language training in wav2vec-u
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* Rebuild wav2vec-u experimental environment
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* Solve the problem of wav2vec-u in Tibetan
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|Haoyu Jiang
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* VGGish model test
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* Voxceleb2 data set collation
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* Fine-tuning VGGish model
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|Ruihai Hou
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|Renmiao Chen
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* Download Voxceleb2 video database
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* Download Voxceleb1 video database
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* Generate data list and divide database
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* Use some model to get SOTA model
 
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2021年10月31日 (日) 13:57的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Neural PCA paper
  • Neural PCA paper
Yunqi Cai
  • THS2021 experiments
Lantian Li
  • CNC response
  • Project delivery
  • Hard trials paper
Ying Shi
Haoran Sun
Chen Chen
Pengqi Li
  • audio important maps based mask
Qingyang Zhu
Weida Liang
  • Publish the baseline test data on the website
  • Realize the cycle-loss model
  • More models with different layers and parameters need to be tested
  • Test whether the current model is better than baseline
Zixi Yan
  • Tibetan text data download
  • Hyper-parameters finetuning
  • analyse reason of the problem of wav2vec-u in Tibetan
  • Hyper-parameters finetuning
Sirui Li
  • Tibetan language training in wav2vec-u
  • Rebuild wav2vec-u experimental environment
  • Solve the problem of wav2vec-u in Tibetan
Haoyu Jiang
  • VGGish model test
  • Voxceleb2 data set collation
  • Fine-tuning VGGish model
Ruihai Hou
Renmiao Chen
  • Download Voxceleb2 video database
  • Download Voxceleb1 video database
  • Generate data list and divide database
  • Use some model to get SOTA model
取自“http://index.cslt.org/mediawiki/index.php?title=2021-10-25&oldid=37205”