“2022-01-03”版本间的差异

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(11位用户的17个中间修订版本未显示)
第30行: 第30行:
 
|Lantian Li
 
|Lantian Li
 
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* Push CNCSRC plan
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* Update Sunine toolkit [https://gitlab.com/csltstu/sunine]
 
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* Go on hard trials paper
 
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第41行: 第42行:
 
|Ying Shi
 
|Ying Shi
 
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* m2asr
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* speech engrave text attend speech
 
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* speech engrave text attend speech
 
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第52行: 第54行:
 
|Haoran Sun
 
|Haoran Sun
 
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* some modification on x-vector
 
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* intorduce bottleneck into it
 
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第63行: 第65行:
 
|Chen Chen
 
|Chen Chen
 
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* Finish final exam
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* Finish course projects
 
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* 3 small course thesis
 
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第74行: 第77行:
 
|Pengqi Li
 
|Pengqi Li
 
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* Prepare for final exam
 
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* Final exam for a week
 
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第85行: 第88行:
 
|Weida Liang
 
|Weida Liang
 
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* Modify wav2vec+decoder model
 
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* Finish training model
 
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第95行: 第98行:
 
|Zixi Yan
 
|Zixi Yan
 
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* Try supervised speech recognition based on WAV2VEC
 
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* Wav2vec supervised speech recognition system was built
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* Multilingual WAV2VEC supervised recognition experiment was conducted
 
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第105行: 第109行:
 
|Sirui Li
 
|Sirui Li
 
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* Do wav2vec-u in Swedish
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* Prepare bi-weekly report
 
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* go on wav2vec-u
 
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第116行: 第121行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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* Recalculate FAR
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* Divide the data into several parts
 
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* Calculate the FAR of the divided data
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* To complete the data partition
 
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第133行: 第140行:
 
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|Renmiao Chen
 
|Renmiao Chen
 
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* Prepare for stochastic process final exam
 
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* Finish the remaining homework
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* Do some work
 
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2022年1月3日 (一) 11:20的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Review multi-modal and multi-view literature
  • Design lip2wav models (possibly based on GCN)
  • Continuous construct theory for noisy linear flow and PCA
  • Keep on multi-modal design
  • CNSRC test plan
Yunqi Cai
Lantian Li
  • Push CNCSRC plan
  • Update Sunine toolkit [1]
  • Go on hard trials paper
Ying Shi
  • m2asr
  • speech engrave text attend speech
  • speech engrave text attend speech
Haoran Sun
  • some modification on x-vector
  • intorduce bottleneck into it
Chen Chen
  • Finish final exam
  • Finish course projects
  • 3 small course thesis
Pengqi Li
  • Prepare for final exam
  • Final exam for a week
Weida Liang
  • Modify wav2vec+decoder model
  • Finish training model
Zixi Yan
  • Try supervised speech recognition based on WAV2VEC
  • Wav2vec supervised speech recognition system was built
  • Multilingual WAV2VEC supervised recognition experiment was conducted
Sirui Li
  • Do wav2vec-u in Swedish
  • Prepare bi-weekly report
  • go on wav2vec-u
Haoyu Jiang
  • Recalculate FAR
  • Divide the data into several parts
  • Calculate the FAR of the divided data
  • To complete the data partition
Ruihai Hou
Renmiao Chen
  • Prepare for stochastic process final exam
  • Finish the remaining homework
  • Do some work