“ASR Status Report 2017-4-5”版本间的差异

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（以“ {| class="wikitable" !Date!!People !! Last Week !! This Week |- | rowspan="5"|2017.4.5 |Yanqing Wang || * || * |- |- |Ying Shi || * || * |- |- |Yix...”为内容创建页面）
 
 
（4位用户的9个中间修订版本未显示）
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|Yanqing Wang
 
|Yanqing Wang
 
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* read source code of thchs30 and run the shell scripts
 
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* continue on the DNN-HMM and source code of thchs30
 
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|Ying Shi   
 
|Ying Shi   
 
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* baseline of swbd speech recognition and  partial collaborative training of new joint structure(enhance speech task) finished [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=shiying&step=view_request&cvssid=599  here]
 
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* baseline of fisher SRE partial collaborative training of new joint structure(enhance speaker task)
 
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|Yixiang Chen   
 
|Yixiang Chen   
 
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* help for frame-PLDA
 
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|Lantian Li   
 
|Lantian Li   
 
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* Deep speaker : GMM-tnorm and frame-PLDA is effective.
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* LM adaptation for Accent ASR.
 
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* Deep speaker : phone-aware
 
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|Zhiyuan Tang  
 
|Zhiyuan Tang  
 
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* [[文件:Phone-lid.pdf]]
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* WSJ AM assists AP-OLR lid. [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a7/Phone-lid.pdf results]
 
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* noise robustness analysis, etc.
 
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2017年4月5日 (三) 08:33的最后版本


Date People Last Week This Week
2017.4.5


Yanqing Wang
  • read source code of thchs30 and run the shell scripts
  • continue on the DNN-HMM and source code of thchs30
Ying Shi
  • baseline of swbd speech recognition and partial collaborative training of new joint structure(enhance speech task) finished here
  • baseline of fisher SRE partial collaborative training of new joint structure(enhance speaker task)
Yixiang Chen
  • help for frame-PLDA
Lantian Li
  • Deep speaker : GMM-tnorm and frame-PLDA is effective.
  • LM adaptation for Accent ASR.
  • Deep speaker : phone-aware
Zhiyuan Tang
  • WSJ AM assists AP-OLR lid. results
  • noise robustness analysis, etc.



Date People Last Week This Week
2017.3.27


Jingyi Lin
Yanqing Wang
Hang Luo
Ying Shi
  • baseline of swbd speech recognition and partial collaborative training of new joint structure
  • go on this task
Yixiang Chen
Lantian Li
  • Deep speaker : GMM-UBM, frame-PLDA
  • Check Springer book.
  • LM adaptation for Accent ASR.
  • Deep speaker : phone-aware
Zhiyuan Tang
  • LID on more languages, bigger acoustic models
  • continue the experiments
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2017-4-5&oldid=26627”