“2022-01-24”版本间的差异

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（12位用户的14个中间修订版本未显示）
第17行： 第17行：
 
|Yunqi Cai
 
|Yunqi Cai
 
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*Investigate railway Bureau; the practical application scenario of intelligent inspection robot
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*Prepare a report for Gusu Lab
 
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* keep on intelligent sensor investigation
 
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第28行： 第29行：
 
|Lantian Li
 
|Lantian Li
 
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* Push CNCSRC
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* Submit final papers
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* Prepare hard trials paper
 
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* Go on hard trials paper
 
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第39行： 第42行：
 
|Ying Shi
 
|Ying Shi
 
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* investige forward attention [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=shiying&step=view_request&cvssid=829 here]
 
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* continue on forward attention
 
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第50行： 第53行：
 
|Haoran Sun
 
|Haoran Sun
 
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* some experiments on AutoVC [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1c/Autovc.pdf pdf]
 
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* more experiments for cycle loss
 
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第61行： 第64行：
 
|Chen Chen
 
|Chen Chen
 
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* Experiments on kmeans and use label for clustering
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* Experiments on # of phn kinds
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* [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=cchen&step=view_request&cvssid=846 cvss]
 
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* Check the experiment of label clustering
 
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第72行： 第77行：
 
|Pengqi Li
 
|Pengqi Li
 
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* study representation learning(self-supervised learning)
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* Using mel-spectrum and standard softmax on small data, models are trained
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* Data preprocessing
 
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* Visualization on a small models(mel-spectrum & MFCC)
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* Implement RELAX
 
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第83行： 第91行：
 
|Weida Liang
 
|Weida Liang
 
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* Conduct wav2vec test
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* Adjust andRun wav2vec+decoder model(training 40k/50k)
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* Add experiment details to paper
 
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* paper submission to Arxiv
 
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第93行： 第103行：
 
|Zixi Yan
 
|Zixi Yan
 
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* Training supervised speech recognition models using wav2vec features
 
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* Experiments with more data sets
 
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第103行： 第113行：
 
|Sirui Li
 
|Sirui Li
 
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* Extract MFCC features for GAN
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* Learning Clustering Algorithms
 
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* go on GAN experiment
 
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第114行： 第125行：
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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* Complete data merge
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* Prepare group report
 
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* Comparison of audio-video baseline
 
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第125行： 第137行：
 
|Ruihai Hou
 
|Ruihai Hou
 
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* Preproess data for the training of UIS-RNN
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* Train the UIS-RNN model on small dataset
 
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第135行： 第148行：
 
|Renmiao Chen
 
|Renmiao Chen
 
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* Finish MI test.
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* Finish CKA test.
 
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2022年1月24日 (一) 11:05的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Reschedule the cycleFlow paper
  • Keep on investigation for multi-modality information fusion
  • Rewrite cycleFlow
Yunqi Cai
  • Investigate railway Bureau; the practical application scenario of intelligent inspection robot
  • Prepare a report for Gusu Lab
  • keep on intelligent sensor investigation
Lantian Li
  • Push CNCSRC
  • Submit final papers
  • Prepare hard trials paper
  • Go on hard trials paper
Ying Shi
  • investige forward attention here
  • continue on forward attention
Haoran Sun
  • some experiments on AutoVC pdf
  • more experiments for cycle loss
Chen Chen
  • Experiments on kmeans and use label for clustering
  • Experiments on # of phn kinds
  • cvss
  • Check the experiment of label clustering
Pengqi Li
  • study representation learning(self-supervised learning)
  • Using mel-spectrum and standard softmax on small data, models are trained
  • Data preprocessing
  • Visualization on a small models(mel-spectrum & MFCC)
  • Implement RELAX
Weida Liang
  • Conduct wav2vec test
  • Adjust andRun wav2vec+decoder model(training 40k/50k)
  • Add experiment details to paper
  • paper submission to Arxiv
Zixi Yan
  • Training supervised speech recognition models using wav2vec features
  • Experiments with more data sets
Sirui Li
  • Extract MFCC features for GAN
  • Learning Clustering Algorithms
  • go on GAN experiment
Haoyu Jiang
  • Complete data merge
  • Prepare group report
  • Comparison of audio-video baseline
Ruihai Hou
  • Preproess data for the training of UIS-RNN
  • Train the UIS-RNN model on small dataset
Renmiao Chen
  • Finish MI test.
  • Finish CKA test.
取自“http://cslt.org/mediawiki/index.php?title=2022-01-24&oldid=37698”