“2022-01-17”版本间的差异

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(7位用户的8个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
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* OLR workshop preparation
 +
* CNSRC plan: metric design
 +
* Capsulate review: emotion recognition
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* Visual-audio SID experiment plan design
 
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*
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* Keep on multi-modal review & information fusion
 
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第54行: 第57行:
 
|Haoran Sun
 
|Haoran Sun
 
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*  
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* experiments for rebuttal
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* update CycleFlow code
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* AutoVC with cycle loss
 
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* More training and evaluation on AutoVC
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* More attempts on cycle loss
 
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第65行: 第71行:
 
|Chen Chen
 
|Chen Chen
 
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*
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* Figure out the influence of symbol & feature
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* Test w2v2.0 feats with LSTM in a supervised way
 
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* Test the influence of feature & preprocessing & training epochs
 
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第89行: 第96行:
 
|Weida Liang
 
|Weida Liang
 
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*
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* Paper sharing on any-to-any VC
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* Finish training wav2vec model
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* Ongoing wav2vec+AE model
 
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*
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* Finish all model training
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* Test and comparison analysis
 
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第99行: 第109行:
 
|Zixi Yan
 
|Zixi Yan
 
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*
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* Write code for extracting wav2vec features in Kaldi
 
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第121行: 第131行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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*
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*Complete the data partition
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*Prepare group report
 
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*
第132行: 第143行:
 
|Ruihai Hou
 
|Ruihai Hou
 
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*  
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* Read the UIS-RNN paper
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* Run some tests on speaker diarization
 
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*  
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* Try to train the UIS-RNN model
 
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第142行: 第154行:
 
|Renmiao Chen
 
|Renmiao Chen
 
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*
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* Do three experiments for PMI.
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* Do something for programming TA.
 
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*
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* Finish experiments for PMI.
 
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2022年1月17日 (一) 10:59的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • OLR workshop preparation
  • CNSRC plan: metric design
  • Capsulate review: emotion recognition
  • Visual-audio SID experiment plan design
  • Keep on multi-modal review & information fusion
Yunqi Cai
  • Low-light image simulation and data preparation
  • capsule network review
  • Research plan guidance for interns
  • Conceptual model of intelligent sensor
Lantian Li
  • Polish CNCSRC plan
  • Write hard trials paper
  • Finish hard trials paper
Ying Shi
  • Analysis FA of Speech engrave
  • Speech engrave with position embedding here
  • Analysis Speech engrave with position embedding
Haoran Sun
  • experiments for rebuttal
  • update CycleFlow code
  • AutoVC with cycle loss
  • More training and evaluation on AutoVC
  • More attempts on cycle loss
Chen Chen
  • Figure out the influence of symbol & feature
  • Test w2v2.0 feats with LSTM in a supervised way
  • Test the influence of feature & preprocessing & training epochs
Pengqi Li
  • Read Paper (RELAX,RISE); Finish Demo about RISE
  • Evaluate the importance maps with Deletion and Insertion
  • Test MFCC
  • Finish RELAX
Weida Liang
  • Paper sharing on any-to-any VC
  • Finish training wav2vec model
  • Ongoing wav2vec+AE model
  • Finish all model training
  • Test and comparison analysis
Zixi Yan
  • Write code for extracting wav2vec features in Kaldi
Sirui Li
  • Extract MFCC features for GAN
  • Write a project application
  • Go on GAN experiment
Haoyu Jiang
  • Complete the data partition
  • Prepare group report
Ruihai Hou
  • Read the UIS-RNN paper
  • Run some tests on speaker diarization
  • Try to train the UIS-RNN model
Renmiao Chen
  • Do three experiments for PMI.
  • Do something for programming TA.
  • Finish experiments for PMI.