“ASR Status Report 2016-11-07”版本间的差异

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（3位用户的7个中间修订版本未显示）
第9行： 第9行：
 
|Hang Luo   
 
|Hang Luo   
 
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*  make a report of 2 papers  
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*  make a report of 2 Inter Speech papers  
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*  run joint training experiments and the result is [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl]
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*  run joint training experiments and the result is [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=luohang&step=view_request&cvssid=578]
 
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*   
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*  read papers about highway connection and multi-task.
 
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第20行： 第20行：
 
|Ying Shi   
 
|Ying Shi   
 
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*   
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*  paper reading kazak speech recognition data prep
 
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*   
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*  baseline of kazak speech recoginition
 
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第30行： 第30行：
 
|Yixiang Chen   
 
|Yixiang Chen   
 
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*  
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* Read paper and learning joint learning configuration
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*  Write the ML-book.
 
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*  
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* Complete ML-book.
 
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第41行： 第42行：
 
|Lantian Li   
 
|Lantian Li   
 
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*  
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* Joint-training on TASLP (speaker parts). [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=tangzy&step=view_request&cvssid=573]
 
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*  
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* Complete the additional experiments on TASLP-speaker parts
 
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2016年11月14日 (一) 02:30的最后版本

Date People Last Week This Week


2016.11.07 Hang Luo
  • make a report of 2 Inter Speech papers
  • run joint training experiments and the result is [1]
  • read papers about highway connection and multi-task.
Ying Shi
  • paper reading kazak speech recognition data prep
  • baseline of kazak speech recoginition
Yixiang Chen
  • Read paper and learning joint learning configuration
  • Write the ML-book.
  • Complete ML-book.
Lantian Li
  • Joint-training on TASLP (speaker parts). [2]
  • Complete the additional experiments on TASLP-speaker parts
Zhiyuan Tang
  • almost finished the additinal experiments of joint learning (speech & spk) for taslp (multi-task, ivector as part of input)[3].
  • report for Weekly Reading;
  • joint training for bilingual.



Date People Last Week This Week


2016.10.31 Hang Luo
  • Know the source code of joint training.
  • Experiments on joint training, change the receive computation blocks and try non-symmetric structure.The result expected on this Thursday.
  • Find paper about joint training to read.
  • Try new experiments according to last two experiments.
Ying Shi
  • DNN and TDNN visualization;CNN baseline(th30) new model DNN+lstm(th30);ML-book slide
  • ML-book continue DNN visualization maybe I should find a new tool t-sne is not powerful enough
Yixiang Chen
  • Joint-training (GMM baseline)
  • Joint-training
Lantian Li
  • Joint-training on TASLP (DNN i-vector parts). [4]
  • Joint-training on SRE and LRE (Neural model is over-fitting...). [5]
  • Joint-training on TASLP.
  • Joint-training on SRE and LRE.
Zhiyuan Tang
  • O-COCOSDA 16, Bali.
  • report for Weekly Reading;
  • finish the additinal experiments of joint learning (speech & spk) for taslp (multi-task, ivector as part of input)[6].
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2016-11-07&oldid=23821”