“ASR Status Report 2016-12-19”版本间的差异

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（5位用户的12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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−
*  
+
* Concentrate on checking the cslt.book.
 +
* Prepare for the annual convention.
 
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第19行： 第20行：
 
|Yanqing Wang
 
|Yanqing Wang
 
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−
*  
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* 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:
 +
**[[媒体文件:GUI_distracted.png|distraction]]
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**[[媒体文件:GUI_focus.png|focus]]
 
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−
*  
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* (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
 
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第30行： 第38行：
 
|Hang Luo
 
|Hang Luo
 
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−
*  
+
* 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
 
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−
*  
+
* Continue joint training analysis work, but I'm very confused about how to improve
 
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第52行： 第62行：
 
|Yixiang Chen   
 
|Yixiang Chen   
 
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−
*  
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* Leanring tensorflow
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* coding pair wise net use tensorflow
 +
* alter CNN
 
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−
*  
+
* coding CNN connect pair wise
 +
* Dealing with the issue of different lengths of voice
 
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第61行： 第74行：
 
|Lantian Li   
 
|Lantian Li   
 
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−
*  
+
* LRE challenge on AP16-OL7.
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* Jeju for APSIPA16.
 
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−
*  
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* LRE on AP16-OL7.
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* Deep speaker embedding.
 
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第134行： 第149行：
 
|Lantian Li   
 
|Lantian Li   
 
||  
 
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−
*  
+
* interim report done;
 +
* PPT for APSIPA16;
 +
* LRE challenge on AP16-OL7.
 +
* Deep speaker embedding restart!
 +
* Submit TRP-20160011 on Replay detection.
 
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−
*  
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* Jeju for APSIPA16.
 
|-
 
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2016年12月19日 (一) 06:38的最后版本


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".



Date People Last Week This Week
2016.12.12


Yanqing Wang
  • read a paper about driving distraction detection task
  • show normal/distraction patterns of a driver with one class and two class SVM
Hang Luo
  • Compared mono-language model and bi-language model decode result.
  • Read paper of WFST.
  • Use different corpus or generate mix-lingual corpus to run experiments
Ying Shi
  • work from Chao Xing down
  • kazak lm
    • got some corpus from a student who study in Minzu University of China.But the corpus is short (about 10000) so the ppl is also poor.
    • spider
  • kazak lm
Yixiang Chen
  • Complete the replay task experiment and report
  • learning tensorflow coding DNN and CNN net
Lantian Li
  • interim report done;
  • PPT for APSIPA16;
  • LRE challenge on AP16-OL7.
  • Deep speaker embedding restart!
  • Submit TRP-20160011 on Replay detection.
  • Jeju for APSIPA16.
Zhiyuan Tang
  • interim report done;
  • PPT for APSIPA16;
  • language mask[1]
  • Jeju for APSIPA16.
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2016-12-19&oldid=24880”