“2022-09-12”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
 
(7位用户的7个中间修订版本未显示)
第28行: 第28行:
 
|Ying Shi
 
|Ying Shi
 
||  
 
||  
*  
+
* outline of my research proposal
 +
* training data for multi-lingual kws
 +
* the final aishell course
 
||
 
||
*  
+
* write research proposal
 +
* finish muli-lingual kws training and test on real test data(jiuming)
 
||
 
||
 
*   
 
*   
第39行: 第42行:
 
|Chen Chen
 
|Chen Chen
 
||  
 
||  
*  
+
* Process and annotate speech data (~2500 spk, ~270h)
 +
* write download->transcode->process script
 
||
 
||
*  
+
* finish annotating speech data
 +
* finish script
 +
* reproduce vts code
 
||
 
||
 
*   
 
*   
第50行: 第56行:
 
|Pengqi Li
 
|Pengqi Li
 
||   
 
||   
*
+
* gradient-based methods(integrated gradient(IG), LRP(1/2))
 
||
 
||
*
+
* Experiments and summary
 
||
 
||
 
*   
 
*   
第62行: 第68行:
 
|Zixi Yan
 
|Zixi Yan
 
||   
 
||   
*
+
* LiRAVD data collection
 
||
 
||
 
*
 
*
第84行: 第90行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
||  
 
||  
*
+
* Check LiRAVD data
 +
* Find more people to collect
 
||
 
||
 
*
 
*
第95行: 第102行:
 
|Renmiao Chen
 
|Renmiao Chen
 
||  
 
||  
*  
+
* add new functions for collect web
 +
* audit data
 
||
 
||
*  
+
* audit data
 +
* prepare for pipeline
 
||
 
||
 
*   
 
*   
第114行: 第123行:
 
|Wan Lin
 
|Wan Lin
 
||  
 
||  
*
+
* finish paper
 
||
 
||
 
*
 
*
第123行: 第132行:
 
|Tianhao Wang
 
|Tianhao Wang
 
||  
 
||  
*  
+
* implement the leave-one-out method
 
||
 
||
 
*  
 
*  

2022年9月12日 (一) 11:01的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Polish AI-Graph
  • ISCSLP shuffle paper
Lantian Li
  • hard trials and shuffle papers.
Ying Shi
  • outline of my research proposal
  • training data for multi-lingual kws
  • the final aishell course
  • write research proposal
  • finish muli-lingual kws training and test on real test data(jiuming)
Chen Chen
  • Process and annotate speech data (~2500 spk, ~270h)
  • write download->transcode->process script
  • finish annotating speech data
  • finish script
  • reproduce vts code
Pengqi Li
  • gradient-based methods(integrated gradient(IG), LRP(1/2))
  • Experiments and summary
Zixi Yan
  • LiRAVD data collection
Sirui Li
  • weekly report
  • submit paper
Haoyu Jiang
  • Check LiRAVD data
  • Find more people to collect
Renmiao Chen
  • add new functions for collect web
  • audit data
  • audit data
  • prepare for pipeline
Wenqiang Du
  • Minority speech recognition paper
  • Debug big model training for Aibabel
Wan Lin
  • finish paper
Tianhao Wang
  • implement the leave-one-out method
Xipin Wei