“2020-06-01”版本间的差异

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(以“{| class="wikitable" !People !! This Week !! Next Week !! Task Tracking (<font color="red">DeadLine</font>) |- |- |Dong Wang || * || * || * |- |- |Yunqi Cai ||...”为内容创建页面)
 
 
(5位用户的5个中间修订版本未显示)
第6行: 第6行:
 
|Dong Wang
 
|Dong Wang
 
||  
 
||  
*
+
* Completed the review of the semi-supervised speech enhancement approach
 +
* Review ICASSP 2020 papers related to speaker recognition
 
||
 
||
*
+
* Continue review on ICASSP 2020
 +
* More investigation on the generalization problem of deep generative models.
 
||
 
||
 
*   
 
*   
第17行: 第19行:
 
|Yunqi Cai
 
|Yunqi Cai
 
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*
+
* experiments on Gaussian ML training
 +
* experiments on DNF training
 
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*  
 
*  
第28行: 第31行:
 
|Zhiyuan Tang
 
|Zhiyuan Tang
 
||  
 
||  
*
+
* DNF/DT on ASR.
 
||
 
||
*
+
* Continues.
 
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||
 
*   
 
*   
第50行: 第53行:
 
|Ying Shi
 
|Ying Shi
 
||  
 
||  
*
+
* finish new flow with both postive samples and negative samples
 +
* finish RPCA baseline
 +
* finish energy model
 
||
 
||
*
+
* M2ASR data
 +
* NMF baseline
 +
* finish VAE-NMF baseline
 +
* review more paper about speech enhancement
 
||
 
||
 
*   
 
*   
第72行: 第80行:
 
|Yue Fan
 
|Yue Fan
 
||  
 
||  
*
+
*Experiments on mdl-cnc based gun vector
 
||
 
||
*
+
*Train the acoustic space with existing audioset data
 +
*Review of Acoustic Scene Classification
 
||
 
||
 
*   
 
*   
第94行: 第103行:
 
|Ruiqi Liu
 
|Ruiqi Liu
 
||  
 
||  
*
+
* Make CN-Celeb2 data
 +
* Kaldi cnceleb2 experiment
 
||
 
||
*
+
* Kaldi cnceleb2 experiment
 +
* SOTA model on  CN-Celeb2
 
||
 
||
 
*   
 
*   

2020年6月1日 (一) 00:01的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Completed the review of the semi-supervised speech enhancement approach
  • Review ICASSP 2020 papers related to speaker recognition
  • Continue review on ICASSP 2020
  • More investigation on the generalization problem of deep generative models.
Yunqi Cai
  • experiments on Gaussian ML training
  • experiments on DNF training
Zhiyuan Tang
  • DNF/DT on ASR.
  • Continues.
Lantian Li
Ying Shi
  • finish new flow with both postive samples and negative samples
  • finish RPCA baseline
  • finish energy model
  • M2ASR data
  • NMF baseline
  • finish VAE-NMF baseline
  • review more paper about speech enhancement
Haoran Sun
Yue Fan
  • Experiments on mdl-cnc based gun vector
  • Train the acoustic space with existing audioset data
  • Review of Acoustic Scene Classification
Jiawen Kang
Ruiqi Liu
  • Make CN-Celeb2 data
  • Kaldi cnceleb2 experiment
  • Kaldi cnceleb2 experiment
  • SOTA model on CN-Celeb2
Sitong Cheng
Zhixin Liu
Haolin Chen