“ASR Status Report 2016-12-26”版本间的差异

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（5位用户的14个中间修订版本未显示）
第10行： 第10行：
 
|Jingyi Lin
 
|Jingyi Lin
 
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*  
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* Learn and make Dr.Wang's personal web page.
 +
* Prepare for the CSLT's Annual Meeting.
 
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−
*  
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* Finish Dr.Wang's personal web page.
 +
* Take photos for menmbers in CSLT.
 
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第24行： 第26行：
 
* make GUI more pretty and easy to use
 
* make GUI more pretty and easy to use
 
* improve the program's robustness
 
* improve the program's robustness
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* screenshot:
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** [[媒体文件:dataSender.png|data sender]]
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**[[媒体文件:dataAnalyser.png|data analyzer]]
 
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* write a document on the program
 
* write a document on the program
第34行： 第39行：
 
|Hang Luo
 
|Hang Luo
 
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*  
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* Run joint training and write systemic script and documents
 
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*  
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* Finish joint training documents
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* Conclude joint training experiments result
 +
* Make a review on mixlingual
 
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第48行： 第55行：
 
* a part of TRP
 
* a part of TRP
 
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* TRP
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* finish the TRP
 
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第56行： 第63行：
 
|Yixiang Chen   
 
|Yixiang Chen   
 
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−
*  
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* Prepare the input of speech data (trick of block segmentation)
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* Complete the init version on max-margin SRE.
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* Write TRP-20160012 "基于Kaldi i-vector的说话人识别系统使用说明"'''[delivery]'''.
 
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*  
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* Prepare the thesis proposal.
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* Integrate CNN + max-margin.
 
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第65行： 第75行：
 
|Lantian Li   
 
|Lantian Li   
 
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−
*  
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* Deep speaker embedding
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** Prepare two datasets and make the i-vector baselines.
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* Write TRP-20160012 "基于Kaldi i-vector的说话人识别系统使用说明"'''[delivery]'''.
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* Write book of robustness SRE.
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* Wechat open account.
 
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*  
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* Deep speaker embedding.
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* Write book.
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* Replay detection on INTERSPEECH chanllenge.
 
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第75行： 第91行：
 
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* TRP of "How to Config Kaldi nnet3 (in Chinese)", not finished yet;
 
* TRP of "How to Config Kaldi nnet3 (in Chinese)", not finished yet;
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* outline of TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition".
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* outline of TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition";
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* Generative models, part of Chapter Deep Learning.
 
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* Finish the above 2 TRPs.
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* Finish the above 3 writings.
 
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2017年1月4日 (三) 07:28的最后版本


Date People Last Week This Week
2016.12.26


Jingyi Lin
  • Learn and make Dr.Wang's personal web page.
  • Prepare for the CSLT's Annual Meeting.
  • Finish Dr.Wang's personal web page.
  • Take photos for menmbers in CSLT.
Yanqing Wang
  • implement the detection mechanism by socket
  • find best parameters to avoid over-fitting
  • add two-class-SVM to the program
  • make GUI more pretty and easy to use
  • improve the program's robustness
  • screenshot:
  • write a document on the program
Hang Luo
  • Run joint training and write systemic script and documents
  • Finish joint training documents
  • Conclude joint training experiments result
  • Make a review on mixlingual
Ying Shi
  • crawl corpus from internet.(I don't know whether the corpus is right or not.......)
  • make new LM(complete)
  • train new AM(complete)
  • a part of TRP
  • finish the TRP
Yixiang Chen
  • Prepare the input of speech data (trick of block segmentation)
  • Complete the init version on max-margin SRE.
  • Write TRP-20160012 "基于Kaldi i-vector的说话人识别系统使用说明"[delivery].
  • Prepare the thesis proposal.
  • Integrate CNN + max-margin.
Lantian Li
  • Deep speaker embedding
    • Prepare two datasets and make the i-vector baselines.
  • Write TRP-20160012 "基于Kaldi i-vector的说话人识别系统使用说明"[delivery].
  • Write book of robustness SRE.
  • Wechat open account.
  • Deep speaker embedding.
  • Write book.
  • Replay detection on INTERSPEECH chanllenge.
Zhiyuan Tang
  • TRP of "How to Config Kaldi nnet3 (in Chinese)", not finished yet;
  • outline of TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition";
  • Generative models, part of Chapter Deep Learning.
  • Finish the above 3 writings.





Date People Last Week This Week
2016.12.19


Jingyi Lin
  • --
  • Concentrate on checking the cslt.book.
  • Prepare for the annual convention.
Yanqing Wang
  • build a data sender ( read & generate txt files of distracted feature )
  • build a data analyzer ( detect the modification of files and make response ( show tokens ) )
  • screenshot:
  • (maybe) replace the detection mechanism by socket
  • find best parameters to avoid over-fitting
  • add two-class SVM to the program
  • make GUI more pretty and easy to use
Hang Luo
  • Compare decode result between mono and bi LM, and the decode result ues bi LM before and after joint
  • Choose wrong decode sentence and find its difference between baseline and shareGMM baseline
  • Finished ML book
  • Continue joint training analysis work, but I'm very confused about how to improve
Ying Shi
  • some work about kazak lm
  • crawl data from kazak internet
  • run new AM by current speech data
  • get more corpus from internet
  • use current corpus make LM and decode
Yixiang Chen
  • Leanring tensorflow
  • coding pair wise net use tensorflow
  • alter CNN
  • coding CNN connect pair wise
  • Dealing with the issue of different lengths of voice
Lantian Li
  • LRE challenge on AP16-OL7.
  • Jeju for APSIPA16.
  • LRE on AP16-OL7.
  • Deep speaker embedding.
Zhiyuan Tang
  • Jeju for APSIPA16.
  • A speech about recent ASR improvements.
  • A supplementary TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition".
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2016-12-26&oldid=25379”