“ASR Status Report 2017-12-25”版本间的差异

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* some function for voice-printer
 
* some function for voice-printer
 
**[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/63/SpkerVector2.png here]
 
**[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/63/SpkerVector2.png here]
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**[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Spkear_vector.png here]
+
**[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6b/Spkear_vector.png here]
 +
**[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f3/Speaker_factor_gray.png here]
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**[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/1514176866%281%29.png here]
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**[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4e/SpeakerQrCode2.png here]
 
* CTC for Haibo Wang
 
* CTC for Haibo Wang
 
* QRcode
 
* QRcode

2017年12月25日 (一) 05:22的版本

Date People Last Week This Week Task Tracking
2017.12.25


Ying Shi
  • some function for voice-printer
  • CTC for Haibo Wang
  • QRcode
  • ivector baseline for kazak-uyghur LRE performance is 81.85% (Utt level)
  • Finish voice-checker copyright and submit the copyright in this Wednesday
Lantian Li
  • Complete the recipe for `VV_FACTOR`.
  • 16K and 8K deep speaker model comparison.[1]
  • Patent for `VV_QuickMark`.
  • Complete the demo for `VV_FACTOR`.[Assign to Shouyi Dai]
  • Phonetic speaker embedding.
  • Overlap training for speaker features.
Zhiyuan Tang
  • word level pronunciation accuracy based on likelihood (tell which word is well pronounced as '0' or badly pronounced '1')
  • model adaptation
  • if possible, an alpha version Parrot for test inside lab to collect some data for better configurature



Date People Last Week This Week Task Tracking
2017.12.18


Ying Shi
  • Finish the Voice-printer program
  • Apply the software copyright of Voice-printer
  • APSIPA 2017
  • Finish the software copyright of Voice-checker
  • Baseline of similar language recongnition system(i-vector, DNN, PTN)
  • focus on function other than UI
  • i-vector LID first
Lantian Li
  • Optimize the demo of `VV_Seg` and `VV_QuickMark`.
  • Phone-aware scorning on deep speaker feature. [2]
  • Phone-aware scorning.
  • Overlap training for speaker features.
  • test on trivial dataset
Zhiyuan Tang
  • easy-to-read interfaces for Parrot
  • phone-level likelihood for detail diagnosis and an alpha version Parrot for test inside lab
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2017-12-25&oldid=29610”