“ASR Status Report 2016-12-26”版本间的差异

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{| class="wikitable"
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!Date!!People !! Last Week !! This Week
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|-
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| rowspan="7"|2016.12.19
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|Jingyi Lin
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||
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* --
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* Concentrate on checking the cslt.book.
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* Prepare for the annual convention.
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|-
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|-
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|Yanqing Wang
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||
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* build a data sender ( read & generate txt files of distracted feature )
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* build a data analyzer ( detect the modification of files and make response ( show tokens ) )
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* screenshot:
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**[[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
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* find best parameters to avoid over-fitting
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* add two-class SVM to the program
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* make GUI more pretty and easy to use
 +
|-
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 +
 +
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|-
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|Hang Luo
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||
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* Compare decode result between mono and bi LM, and the decode result ues bi LM before and after joint
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* Choose wrong decode sentence and find its difference between baseline and shareGMM baseline
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* 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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 +
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|-
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|Ying Shi 
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||
 +
* some work about kazak lm
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* crawl data from kazak internet
 +
||
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* run new AM by current speech data
 +
* get more corpus from internet
 +
* use current corpus make LM and decode
 +
|-
 +
 +
 +
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|-
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|Yixiang Chen 
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||
 +
* Leanring tensorflow
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* coding pair wise net use tensorflow
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* alter CNN
 +
||
 +
* coding CNN connect pair wise
 +
* Dealing with the issue of different lengths of voice
 +
|-
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 +
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|-
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|Lantian Li 
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||
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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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|Zhiyuan Tang
 +
||
 +
* Jeju for APSIPA16.
 +
||
 +
* A speech about recent ASR improvements.
 +
* A supplementary TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition".
 +
|-
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|}

2016年12月26日 (一) 05:22的版本


Date People Last Week This Week
2016.12.26


Jingyi Lin
Yanqing Wang
Hang Luo
Ying Shi
Yixiang Chen
Lantian Li
Zhiyuan Tang






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".