“ASR Status Report 2017-2-13”版本间的差异

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* Joint training of chinese and japanese
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**To find whether joint training work on this database
 
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|Ying Shi   
 
|Ying Shi   
 
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* joint traing（speech spker）baseline and read some papers
 
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* visualization joint training
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**DNN same amount of label
 
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|Lantian Li   
 
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* Deep speaker
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* ASVspoofing
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* Write book
 
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* Deep speaker embedding：1、memory allocation，paramW sharing.  2、better than cosine distance while still worse than LDA and PLDA
 
* Deep speaker embedding：1、memory allocation，paramW sharing.  2、better than cosine distance while still worse than LDA and PLDA

2017年2月13日 (一) 05:48的最后版本


Date People Last Week This Week
2017.2.13


Jingyi Lin
Yanqing Wang
Hang Luo
  • Joint training of chinese and japanese
    • To find whether joint training work on this database
Ying Shi
  • joint traing（speech spker）baseline and read some papers
  • visualization joint training
    • DNN same amount of label
Yixiang Chen
  • ASVspoofing
  • Deep speaker embedding Two methods of improvement
Lantian Li
  • Deep speaker
  • ASVspoofing
  • Write book
  • Deep speaker embedding：1、memory allocation，paramW sharing. 2、better than cosine distance while still worse than LDA and PLDA
  • ASVspoofing：a text-dependent task
  • Write book：complete chapter 1-3，leaving chapter 4.
Zhiyuan Tang
  • joint training of speech and language recognition, two languages for preliminary exploration
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2017-2-13&oldid=26141”