“ASR Status Report 2017-1-16”版本间的差异

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(以“ {| class="wikitable" !Date!!People !! Last Week !! This Week |- | rowspan="7"|2017.1.16 |Jingyi Lin || * || * |- |- |Yanqing Wang || * || * |- |- |H...”为内容创建页面)
 
 
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* find suffix of kazakh
 
* find suffix of kazakh
 
* new language model(6-gram) ppl on original test is 116 and in newtest is 14
 
* new language model(6-gram) ppl on original test is 116 and in newtest is 14
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* wer after split suffix is 15.16% without which is 14.43%
 
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* finish the kazak speech recongnition job
 
* finish the kazak speech recongnition job
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|Lantian Li   
 
|Lantian Li   
 
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*  
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* Deep speaker embedding.[http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step=view_request&cvssid=591 591]
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* Replay detection.[http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step=view_request&cvssid=590 590]
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* Write book.
 
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* Deep speaker embedding.
 
* Deep speaker embedding.
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* Replay detection.
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* Write book.
 +
 
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|Zhiyuan Tang  
 
|Zhiyuan Tang  
 
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* checked and submitted several TRPs (including interns');
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* data preparation (phone list, lexicon) for Cantonese ASR
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* applying for the visa
 
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* restart joint training;
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* babel baseline
* weekly reading.
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2017年1月16日 (一) 05:48的最后版本


Date People Last Week This Week
2017.1.16


Jingyi Lin
Yanqing Wang
Hang Luo
Ying Shi
  • find suffix of kazakh
  • new language model(6-gram) ppl on original test is 116 and in newtest is 14
  • wer after split suffix is 15.16% without which is 14.43%
  • finish the kazak speech recongnition job
Yixiang Chen
Lantian Li
  • Deep speaker embedding.591
  • Replay detection.590
  • Write book.
  • Deep speaker embedding.
  • Replay detection.
  • Write book.
Zhiyuan Tang
  • data preparation (phone list, lexicon) for Cantonese ASR
  • applying for the visa
  • babel baseline


Date People Last Week This Week
2017.1.10


Jingyi Lin
Yanqing Wang
Hang Luo
  • TRP and book checked.
  • Train Japanese ASR baseline
Ying Shi
  • kazak speech recognition version1.0
  • lexicon about Arabic numerals and loan words
  • try to make language model by roots and affixes
Yixiang Chen
  • Integrate CNN + max-margin.
  • test on small data set
  • test CNN + max-margin
  • optimize code
Lantian Li
  • Deep speaker embedding
  • Write book.
  • Integrate TRPs.
  • Deep speaker embedding.
  • Write book.
Zhiyuan Tang
  • checked and submitted several TRPs (including interns');
  • restart joint training;
  • weekly reading.