“2023-05-22”版本间的差异

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(8位用户的12个中间修订版本未显示)
第18行: 第18行:
 
|Lantian Li
 
|Lantian Li
 
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* Project proposal
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* AI Course
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* APT-group research
 
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* ICASSP 2023 review
 
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第27行: 第29行:
 
|Wenqiang Du
 
|Wenqiang Du
 
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* intent detection
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* Annotation Tools about NLP
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第36行: 第40行:
 
|Ying Shi
 
|Ying Shi
 
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* school project
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* analysis about transformer overlapping asr [https://z1et6d3xtb.feishu.cn/docx/WCzUdAbTuoR8SQxnIOicUrsznTg here]
 
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第47行: 第52行:
 
|Chen Chen
 
|Chen Chen
 
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* purify information in discrete unit [https://z1et6d3xtb.feishu.cn/docx/PBQydnIBAoEaQKxmPTZcfHCEnTh]
 
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第58行: 第63行:
 
|Pengqi Li
 
|Pengqi Li
 
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* What pattern include more speaker info? [https://z1et6d3xtb.feishu.cn/docx/P07ydEmVToWcClx6aumcIPDZnBf]
 
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第69行: 第74行:
 
|Wan Lin
 
|Wan Lin
 
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* Experiments on WavlM+SSDA-Joint [https://z1et6d3xtb.feishu.cn/docx/NbBLdn71NoMoLvxolPlcPHj2nEc]
 
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第80行: 第85行:
 
|Tianhao Wang
 
|Tianhao Wang
 
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* test vox aug and proto loss [https://z1et6d3xtb.feishu.cn/docx/Aqf2d0lBroddzfxFx3wct5LznNh]
 
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* graduation thesis
 
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第91行: 第96行:
 
|Zhenyu Zhou
 
|Zhenyu Zhou
 
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*Domain Adaptation Paper learning
 
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第102行: 第107行:
 
|Jiaying Wang
 
|Jiaying Wang
 
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* x-vector use ResNet34 training on both datasets
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* Corresponding SID and SV test
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* Vox use ResNet34 with data augmentation
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* Verify T[https://z1et6d3xtb.feishu.cn/docx/KrXbd4ENMo2aU5x5CUxcDzJpnkg]
 
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2023年5月22日 (一) 10:53的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • NSFC review done
  • AIGraph slides done
  • AI book update done
Lantian Li
  • Project proposal
  • AI Course
  • APT-group research
  • ICASSP 2023 review
Wenqiang Du
  • intent detection
  • Annotation Tools about NLP
Ying Shi
  • school project
  • analysis about transformer overlapping asr here
Chen Chen
  • purify information in discrete unit [1]
Pengqi Li
  • What pattern include more speaker info? [2]
Wan Lin
  • Experiments on WavlM+SSDA-Joint [3]
Tianhao Wang
  • test vox aug and proto loss [4]
  • graduation thesis
Zhenyu Zhou
  • Domain Adaptation Paper learning
Jiaying Wang
  • x-vector use ResNet34 training on both datasets
  • Corresponding SID and SV test
  • Vox use ResNet34 with data augmentation
  • Verify T[5]
Xiaolou Li
Junhui Chen