“ASR Status Report 2017-7-31”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="8"|2017.7.24
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| rowspan="8"|2017.7.31
  
 
|Xiaofei Kang
 
|Xiaofei Kang
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|Yanqing Wang
 
|Yanqing Wang
 
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* retraining task: experiments are in progress, some time needed.
 
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* all experiments should be done.
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* TRP of retraining task.
 
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2017年7月31日 (一) 03:52的版本

Date People Last Week This Week
2017.7.31 Xiaofei Kang
Miao Zhang
Yanqing Wang
  • retraining task: experiments are in progress, some time needed.
  • all experiments should be done.
  • TRP of retraining task.
Ying Shi
  • apply mongodb and ajax on the data checking website
    • with mongodb we are not depend on file lock anymore
    • there is no need to save web state(except some cookie) after employ ajax
  • continue to learn crawler
  • setup server for m2asr (use sheep02)
  • design crawler program
Yixiang Chen
Lantian Li
Zhiyuan Tang
  • Updated the auto-scoring system with the newest version of Kaldi. Several patches need to be repaired.
  • Kaldi book writing.
  • Initial version of auto-scoring system.
  • Kaldi book writing.



Date People Last Week This Week
2017.7.24 Xiaofei Kang
  • Prepare the data set of Speaker Recognition : pick out whisper
  • Learn the the nnet3 model, run the nnet3 experiment
  • Learn the Speaker Recognition model, run the Speaker Recognition experiment
Miao Zhang
  • joined a meeting in Chinese Academy of Social Sciences
  • worked out a recording plan
  • learnt kaldi and did experiments
  • test performances on 12 kinds of voices we have
Hui Tang
  • help jiayin to configure dnn and lstm in kaldi
  • left for postgraduate life
Yanqing Wang
  • change the source code of Kaldi to implement retraining ( with zero value fixed )
  • start to write a technical report of pruning the neural network ( not finished )
  • finish the retraining task
  • finish the technical report
Ying Shi
  • data checking website
  • learn how to write a crawler program
  • write a more general crawler
  • realign kazak train and test data with transfer learning model
Yixiang Chen
  • use wisper audio for speaker recognition
  • joined a meeting in Chinese Academy of Social Sciences
  • test performances on 12 kinds of voices
Lantian Li
  • deepspk on TASLP.
  • speaker segmentation.
  • recipe of deepspk.
Zhiyuan Tang
  • Replaced ATLAS lib with MKL lib for compiling auto-scoring system.
  • Kaldi book writing.
  • A basic demo for auto-scoring system.
  • Kaldi book writing.
取自“http://index.cslt.org/mediawiki/index.php?title=ASR_Status_Report_2017-7-31&oldid=28074”