“ASR Status Report 2017-6-12”版本间的差异

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!Date!!People !! Last Week !! This Week
 
!Date!!People !! Last Week !! This Week
 
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| rowspan="6"|2017.6.12
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| rowspan="7"|2017.6.12
  
  
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|Miao Zhang
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*
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*
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|Hui Tang  
 
|Hui Tang  
 
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* LID for ASR but the performance is bad
 
* LID for ASR but the performance is bad
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* write paper (a large scale database for kazakh speech recognition )
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* write paper (a large scale database for kazakh speech recognition)
 
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* finish the paper today
 
* finish the paper today
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|Lantian Li   
 
|Lantian Li   
 
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*  
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* Deep speaker feature learning with a larger ASR model.
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** Speaker verification, identification and cross-lingual have been done.
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* End-to-end ASV.[http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step=view_request&cvssid=611]
 
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* Write APSIPA 2017 paper.
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* Speaker diarization.
 
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2017年6月13日 (二) 04:20的最后版本

Date People Last Week This Week
2017.6.12


Miao Zhang
Hui Tang
  • by using dnn model and tsne to find the relationship between overlap speech and original voice
  • ans
  • find some information about this
Yanqing Wang
  • absent.
Ying Shi
  • LID for ASR but the performance is bad
  • write paper (a large scale database for kazakh speech recognition)
  • finish the paper today
Yixiang Chen
Lantian Li
  • Deep speaker feature learning with a larger ASR model.
    • Speaker verification, identification and cross-lingual have been done.
  • End-to-end ASV.[1]
  • Write APSIPA 2017 paper.
  • Speaker diarization.
Zhiyuan Tang
  • Recipes for AP17-OLR, OC17-MixASR.
  • Publish the AP17 challenge with paper.
Date People Last Week This Week
2017.5.31


Hui Tang
  • after introducing beamforming, zhiyong lets me learn something about how to sound localization
  • Create a database for overlapping speech
Yanqing Wang
  • continue the experiment
Ying Shi
  • work for Apsipa17
    • thchs baseline
    • kazakh baseline
    • uyghur baseline
    • 3 language merge GMM baseline
  • work for Apsipa17
  • graduation thesis
Yixiang Chen
Lantian Li
  • Submit the Interspeech paper.
  • Deep speaker feature learning with a larger ASR model.
  • Prepare the end-to-end ASV.
  • End-to-end ASV.
Zhiyuan Tang
  • Experiments for OC17 mix-asr challenge,baseline done.
  • Spk feature as LID input.
  • Data preparation for AP17 orl challenge.
  • Two challenges done.
取自“http://cslt.org/mediawiki/index.php?title=ASR_Status_Report_2017-6-12&oldid=27444”