“2021-11-15”版本间的差异

来自cslt Wiki
跳转至： 导航、 搜索
 
（5位用户的5个中间修订版本未显示）
第29行： 第29行：
 
||  
 
||  
 
* Complete hard trials paper v1.
 
* Complete hard trials paper v1.
−
||
 
−
*
 
 
||
 
||
 
* Go on preparing my defence.
 
* Go on preparing my defence.
 +
||
 +
*
 
|-
 
|-
  
第51行： 第51行：
 
|Haoran Sun
 
|Haoran Sun
 
||  
 
||  
−
*  
+
* speaker and robustness test for CycleFlow-spk
 
||
 
||
−
*  
+
* some improvement
 +
* some other exploration for the model
 
||
 
||
 
*   
 
*   
第73行： 第74行：
 
|Pengqi Li
 
|Pengqi Li
 
||   
 
||   
−
*  
+
* reproduce about CAM(class activation map)
 
||
 
||
 
*  
 
*  
第94行： 第95行：
 
|Weida Liang
 
|Weida Liang
 
||   
 
||   
−
*  
+
* Renew the project website and upload relevant speech sequences
 +
* Draw various loss curves
 +
* Prepare test data for content-relevant tests
 
||
 
||
−
*  
+
* Quantitave test
 +
* Prepare test data for speaker separation tests
 
||
 
||
 
*   
 
*   
−
|-
+
|-  
  
 
|-
 
|-
第127行： 第131行：
 
|Haoyu Jiang
 
|Haoyu Jiang
 
||  
 
||  
−
*  
+
* Data set filtering based on face recognition
 
||
 
||
 
*  
 
*  
第138行： 第142行：
 
|Ruihai Hou
 
|Ruihai Hou
 
||  
 
||  
−
*  
+
* Top 1 filtering based on face recognition
 +
* Prepare enrollment dataset for Top 1 filtering
 
||
 
||
 
*  
 
*  

2021年11月22日 (一) 02:06的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Spoof paper almost done
  • Spoof paper cleaning
  • Hard trials paper
Yunqi Cai
  • Completed THS2021 data preprocessing, image feature extraction, and baseline
Lantian Li
  • Complete hard trials paper v1.
  • Go on preparing my defence.
Ying Shi
  • make a comparison between fncmd with new methods
  • find some cross-modality methods(Cross modality attention)
  • Implement Cross modality attention
Haoran Sun
  • speaker and robustness test for CycleFlow-spk
  • some improvement
  • some other exploration for the model
Chen Chen
Pengqi Li
  • reproduce about CAM(class activation map)
Qingyang Zhu
Weida Liang
  • Renew the project website and upload relevant speech sequences
  • Draw various loss curves
  • Prepare test data for content-relevant tests
  • Quantitave test
  • Prepare test data for speaker separation tests
Zixi Yan
  • Modify wav2vec-u gan network code and output intermediate results
  • Training wav2vec2 model
Sirui Li
  • Compare the training process of TIMIT and Tibetan
  • Fine-tune the Tibetan wav2vec model
  • Prepare the thesis opening report
Haoyu Jiang
  • Data set filtering based on face recognition
Ruihai Hou
  • Top 1 filtering based on face recognition
  • Prepare enrollment dataset for Top 1 filtering
Renmiao Chen
取自“http://index.cslt.org/mediawiki/index.php?title=2021-11-15&oldid=37296”