“2022-05-16”版本间的差异

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(9位用户的11个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
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*
+
* Graph-AI book
 +
* Review paper for interpreability for speech processing
 
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*
 
*
第49行: 第50行:
 
|Haoran Sun
 
|Haoran Sun
 
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*  
+
* vending machines projects
 +
* experiments for speaker embedding
 
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*  
+
* graduation reply
 
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*   
 
*   
第60行: 第62行:
 
|Chen Chen
 
|Chen Chen
 
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*
+
* Review papers
 +
* Prepare for weekly reading
 
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*
+
* Review papers
 +
* Finish course projects
 
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*   
 
*   
第71行: 第75行:
 
|Pengqi Li
 
|Pengqi Li
 
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*
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*Some project task
 
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*
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*Finish PUFA report
 
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*   
 
*   
第92行: 第96行:
 
|Zixi Yan
 
|Zixi Yan
 
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*
+
* Tibetan speech recognition experiment based on MFCC
 +
* Tibetan speech recognition experiment based on WAV2VEC feature
 
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*
 
*
第102行: 第107行:
 
|Sirui Li
 
|Sirui Li
 
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*
+
* Remove speaker information from features
 +
* Do max-pooling for feature
 
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*
 
*
第113行: 第119行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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*
+
* Finish speaker verification test
 +
* Data preparation for face verification
 
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*
 
*
第124行: 第131行:
 
|Ruihai Hou
 
|Ruihai Hou
 
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*
+
* deliver the first version of segTool
 +
* setup the experiment environment of LSH
 
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*  
 
*  
第135行: 第143行:
 
|Renmiao Chen
 
|Renmiao Chen
 
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*
+
* do course projects
 
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*
+
* do course projects
 +
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 +
 +
|-
 +
|Wenqiang Du
 +
||
 +
* aishell KALDI course
 +
* Some project cooperation
 +
||
 +
* Continue aishell KALDI course
 +
* Some project cooperation
 +
* Research on abusive sound detection
 
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*   
 
*   
 
|-
 
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2022年5月16日 (一) 11:04的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Graph-AI book
  • Review paper for interpreability for speech processing
Yunqi Cai
Lantian Li
Ying Shi
  • reproduce Google attention RNN-T system
  • continue work on attention RNN-T
Haoran Sun
  • vending machines projects
  • experiments for speaker embedding
  • graduation reply
Chen Chen
  • Review papers
  • Prepare for weekly reading
  • Review papers
  • Finish course projects
Pengqi Li
  • Some project task
  • Finish PUFA report
Weida Liang
Zixi Yan
  • Tibetan speech recognition experiment based on MFCC
  • Tibetan speech recognition experiment based on WAV2VEC feature
Sirui Li
  • Remove speaker information from features
  • Do max-pooling for feature
Haoyu Jiang
  • Finish speaker verification test
  • Data preparation for face verification
Ruihai Hou
  • deliver the first version of segTool
  • setup the experiment environment of LSH
Renmiao Chen
  • do course projects
  • do course projects
Wenqiang Du
  • aishell KALDI course
  • Some project cooperation
  • Continue aishell KALDI course
  • Some project cooperation
  • Research on abusive sound detection