“ASR Status Report 2017-9-18”版本间的差异

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|Ying Shi   
 
|Ying Shi   
 
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* group-based softmax finished [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=shiying&step=view_request&cvssid=627 here]
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* multi-decoding for group-based softmax (in progress)
 
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* mulit-decoding for group-based softmax
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* PTN
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* apply Lid for group-based softmax
 
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2017年9月18日 (一) 04:48的版本

Date People Last Week This Week
2017.9.4


Jiayin Cai
Xiaofei Kang
Miao Zhang
Yanqing Wang
Ying Shi
  • group-based softmax finished here
  • multi-decoding for group-based softmax (in progress)
  • mulit-decoding for group-based softmax
  • PTN
  • apply Lid for group-based softmax
Yixiang Chen
  • Absent
Lantian Li
  • Go on speaker segmentation tasks, see [1]
    • Make some smooth tricks (Silence limits [MDR] and window-based smooth [FAR]).
    • R.T. test.
  • Music / Noise detection, see [2]
  • Package the code for speaker segmentaion.
  • Go on music / noise detection tasks.
Zhiyuan Tang
Date People Last Week This Week
2017.9.4


Jiayin Cai
  • Got phonetic feat from a stronger phonetic network
  • Finished part of the experiment using stronger phonetic feature.
  • Will be absent for school.
  • But I will finish the remaining experiment.
Xiaofei Kang
  • improve the human Test website：, save the test recordings, decline the positive samples
  • Recording and cutting the audios, a total of 12 groups
  • Continue to record the audios with zhangmiao
  • Continue to ask people to do human test
Miao Zhang
  • Perform human test
  • Record some other people and do the experiments again
  • Continue to ask people to do human test
  • Recording(the goal is to record 400 to 500 people) here
Yanqing Wang
  • Absent
Ying Shi
  • multi-decoding ASR model with more pdfs. Performance better than before but not well enough
  • add sperate symbel to discriminated kazak and uyghur word set
  • group-based softmax(in progress)
  • finish group-based softmax and test the performance
Yixiang Chen
  • Absent
Lantian Li
  • Go on speaker segmentation tasks, see here
    • Complete the phonetic-aware speaker segmentation.
      • Word-level boundaries from the ASR.
      • Word-level d-vector and clustering.
  • Try some smooth tricks.
Zhiyuan Tang
  • Organized the code and doc of Parrot system[3]
  • Theoretical study of pronunciation detection
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2017-9-18&oldid=28777”