“2022-01-03”版本间的差异

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|Weida Liang
 
|Weida Liang
 
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* Modify wav2vec+decoder model
 
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* Finish training model
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* Paper sharing on Wednesday
 
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2022年1月3日 (一) 11:13的版本

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
  • Paper sharing on Wednesday
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