“2024-06-24”版本间的差异

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（8位用户的8个中间修订版本未显示）
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|Zhenghai You
 
|Zhenghai You
 
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* paper reading
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* preparing for the 1st phase delivery[https://z1et6d3xtb.feishu.cn/docx/W5Rdd1WgUodmuRxHERhchORynjf]
 
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|Chen Chen
 
|Chen Chen
 
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* Finish the draft of ISCSLP paper[https://www.overleaf.com/read/zhrbbhpxjbrt#217eed]
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* Handing over the data collection website
 
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* Write some documents about the websites tools
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* Refine the ISCSLP paper
 
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|Pengqi Li
 
|Pengqi Li
 
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* PhD mid-term assessment(pass)
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* two NC-papers(done)
 
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|Tianhao Wang
 
|Tianhao Wang
 
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* Neural Scoring [https://z1et6d3xtb.feishu.cn/docx/BywjdkGvNou12sxQ4dAcxYa9noh]:
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** Soving the test set problem with CJH
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** Try NS on CN or "Vox mix by CN"
 
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|Zhenyu Zhou
 
|Zhenyu Zhou
 
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* preparing for the 1st phase delivery[https://z1et6d3xtb.feishu.cn/docx/W5Rdd1WgUodmuRxHERhchORynjf]
 
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|Junhui Chen
 
|Junhui Chen
 
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* Neural Scoring:
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** Vox-E/H trials testing
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** Try test utt: Vox mix CN [https://z1et6d3xtb.feishu.cn/docx/BywjdkGvNou12sxQ4dAcxYa9noh#LfSpdGkXaoHYNwxsaNcccofUn8g]
 
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|Jiaying Wang
 
|Jiaying Wang
 
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* water project....
 
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|Yang Wei
 
|Yang Wei
 
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* Huilan
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** Some support for ASR project
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** Fix bugs on TTS code about ONNX model export
 
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|Lily
 
|Lily
 
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* Organize AI Graph course materials （动动脑筋）
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* Organize AI Graph material （动动脑筋）
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* Organize AI for primary, high school materials
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* Organize primary, high school AI courses materials
 
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|Qi Qu
 
|Qi Qu
 
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* KWD:
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** More lab-indoor data collected.
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* AED:
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** AED model (frontend) + Linear (classifier).
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** CED (frontend) models yield acceptable results.
 
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* AED:
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** CED + Linear: c/jni lib.
 
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2024年6月24日 (一) 11:30的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • AI Primary School Plan (refinement)
  • Demo chapters of the AI book
  • Some paper review
Lantian Li
  • GPU status [1]
  • Projects
    • AED -> handover to Xiaoxue
    • TSE -> preparing for the 1st phase delivery
    • VSR -> finish the 1st phase - 1278h
    • Finance -> reproducing R^2 SAC (debug)
  • Papers
    • NeuralScoring -> in progress (multi-domain testing)
  • ASIP-Lab website -> Xiaohuang
Ying Shi
  • text enroll keyword spotting
    • Acc: 75% / FA 150/50000
  • Cohort conditional chain Overlap ASR
    • fix condition positional embedding
Zhenghai You
  • paper reading
  • preparing for the 1st phase delivery[2]
Junming Yuan
  • SSL model finetuning analysis v2[3]
    • The result is quite strange, I'll check it again
  • prepare the talk on last saturday's activity.
Chen Chen
  • Finish the draft of ISCSLP paper[4]
  • Handing over the data collection website
  • Write some documents about the websites tools
  • Refine the ISCSLP paper
Xiaolou Li
  • Experiment about bi-Transformer[5]
  • Paper Reading (Some about Mamba, Some about MLLM)
Zehua Liu
  • Some exp(current SOTA cer: 46.06%)[6]
  • Working on VSP-LLM
Pengqi Li
  • PhD mid-term assessment(pass)
  • two NC-papers(done)
Wan Lin
  • NS for CNC (single-speaker)
    • All utts as enroll
      （can't be trained directly, must load vox checkpoint）
    • Choose some genres as enroll (trying）
  • trials testing
  • Revised paper
Tianhao Wang
  • Neural Scoring [7]:
    • Soving the test set problem with CJH
    • Try NS on CN or "Vox mix by CN"
Zhenyu Zhou
  • preparing for the 1st phase delivery[8]
Junhui Chen
  • Neural Scoring:
    • Vox-E/H trials testing
    • Try test utt: Vox mix CN [9]
Jiaying Wang
  • water project....
Yu Zhang
  • Reproduce R^2-SAC
    • Code is complete
    • Adapting training and testing process to our backtesting platform (still working)
  • Get more data and train the whole process align with Jun Wang's paper (2015.01-2023.6 CSI300 CSI500 is needed)
Wenqiang Du
  • Training dialect models for AIbabel（minnan language）
Yang Wei
  • Huilan
    • Some support for ASR project
    • Fix bugs on TTS code about ONNX model export
Lily
  • Organize AI Graph material （动动脑筋）
  • Organize primary, high school AI courses materials
Turi
  • Thesis Proposal
  • Data collection
    • 28.9K contributions so far
Yue Gu
Qi Qu
  • KWD:
    • More lab-indoor data collected.
  • AED:
    • AED model (frontend) + Linear (classifier).
    • CED (frontend) models yield acceptable results.
  • AED:
    • CED + Linear: c/jni lib.
取自“http://index.cslt.org/mediawiki/index.php?title=2024-06-24&oldid=41931”