“ASR Status Report 2017-9-25”版本间的差异

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第9行: 第9行:
 
|Xiaofei Kang
 
|Xiaofei Kang
 
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*Improve and release the Recording APP of Android and IOS
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*Record about 100 people audios with zhangmiao
 
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*Record the audios with zhangmiao
 
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2017年9月26日 (二) 05:54的最后版本

Date People Last Week This Week
2017.9.25


Xiaofei Kang
  • Improve and release the Recording APP of Android and IOS
  • Record about 100 people audios with zhangmiao
  • Record the audios with zhangmiao
Miao Zhang
Yanqing Wang
Ying Shi
  • apply fake Lid into Gsoft max model chinese and english can be decoded but kazak uyghur and tibetan can't
  • config wolf05
  • make fake Lid work
  • submit apsipa paper
Yixiang Chen
  • Absent
Lantian Li
Zhiyuan Tang
  • PTN experiment continued,[1]
  • Long term PTN.


Date People Last Week This Week
2017.9.4


Jiayin Cai
  • Absent
Xiaofei Kang
  • Test and improve the IOS APP for recording audios.
  • Finish the experiment to test the machine error rate,the result is in my cvss here .
  • Record the audios with zhangmiao using the money from wang.
Miao Zhang
  • Finish human test website
  • Design recording app with Kangxf
  • T-SNE analysis
  • Absent for school class
Yanqing Wang
  • Implementation of node-pruning.
  • comparison of connection-pruning and node-pruning, see here
  • continue on relationship and comparison of connection-pruning and node-pruning.
  • Implementation of long-term dropout and experiments based on it.
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 [2]
    • Make some smooth tricks (Silence limits [MDR] and window-based smooth [FAR]).
    • R.T. test.
  • Music / Noise detection, see [3]
  • Package the code for speaker segmentaion.
  • Go on music / noise detection tasks.
Zhiyuan Tang
  • Part theoretical study of mispronunciation detection.
  • Toolbook writing.
  • Experiments on phonetic LID.
  • Experiments on mispronunciation detection