“2019-01-02”版本间的差异

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* run max-margin recipe for extracted vector
 
* run max-margin recipe for extracted vector
 
* Consider how to implement the network structure
 
* Consider how to implement the network structure
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* finishi the speech book of spoken Emotion Recognition
 
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2019年1月3日 (四) 04:47的版本

People Last Week This Week Task Tracking (DeadLine)
Yibo Liu
Xiuqi Jiang
  • Made further adjustments to code, deleting unnecessary files and uploading generated samples to dir 'predict/results'.
  • More models have been trained and compared.
  • Collated notes on ML book and uploaded them on wiki.
  • Try to train a model generating length-unfixed texts.
Jiayao Wu
  • read some papers about kws and write the chapter before this weekend.
  • carding the TDNN-F structure and count the lines of weights to prune and do value prune first.
  • finish the assigned chapter of Speech book
  • finish the value prune experiment
Zhaodi Qi
  • read some papers about DID and other
  • Run language recognition task
  • Continue to complete the language recognition task
Jiawei Yu
  • do some Literature survey on spoken Emotion Recognition for speech book
  • done for extract d-vector and phone vector for max-margin
  • run max-margin recipe for extracted vector
  • Consider how to implement the network structure
  • finishi the speech book of spoken Emotion Recognition
Yunqi Cai
  • Run through the Thchs30 data, think about the research plan.
  • Get to know every step of the ASR processes, and investigate the RNN LM.
Dan He
  • Compared the size of a fully connected layer after tt decomposition through experiment, at the same time compared the train loss, validation loss and test accuracy between the two case.
  • Further compared the inference speed, the precision after retrain.
  • Try to decompose more layers of fully connected layers.
Yang Zhang
  • Released and published our WeChat app(星云听).
  • cleaned my code
  • wrote document for this project (have not finished yet).
  • continue to write document.
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