“2025-03-31”版本间的差异

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（11位用户的15个中间修订版本未显示）
第18行： 第18行：
 
|Lantian Li
 
|Lantian Li
 
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* AI Handbook (College Edition) (4/10)
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* Project Matters (BUPT and Huawei)
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* Review Some Papers
 
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第29行： 第31行：
 
|Ying Shi
 
|Ying Shi
 
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* Huawei project  cooperati
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* Huawei project  cooperation
 
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第41行： 第43行：
 
|Zhenghai You
 
|Zhenghai You
 
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* Training second iteration TSE model for Huawei project ( eol 0db SI-SDR （once:6.963）-> (twice:8.428))[https://z1et6d3xtb.feishu.cn/wiki/OXubwl2fIip91vkYsgMc1duhnLd]
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* Check the breakdown of the host to China Unicom
 
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第65行： 第68行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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* The reproduction of LipVoicer is nearly complete — the melgen, vocoder, and VSR components are ready. The remaining step is to fine-tune the ASR module.
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* Fixed some bugs of VSR big data training.
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第76行： 第78行：
 
|Zehua Liu
 
|Zehua Liu
 
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*Paper Reading on last Friday
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*Reproducing Accurately Lip2Speech paper，maybe get some Result this week.
 
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第101行： 第104行：
 
|Wan Lin
 
|Wan Lin
 
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* Ablation experiments [https://z1et6d3xtb.feishu.cn/docx/MxBNdPbLao0tsoxkBVCcUgUoneh?from=from_copylink]
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* Experiments for diff. Transformer layers
 
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第126行： 第130行：
 
|Xiaoxue Luo
 
|Xiaoxue Luo
 
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* Sound separation
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** familiar with the code of our model
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* check and revise the AI handbooks
 
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第160行： 第166行：
 
|Jiaying Wang
 
|Jiaying Wang
 
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* use Whisper replace the CTC calculation module: reading paper and preparing code.
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* modify the bp strategy of the current CTC loss.
 
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第171行： 第178行：
 
|Yu Zhang
 
|Yu Zhang
 
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* Multi Agent System
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** debug about new long-term short-term trade policy
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* Huawei AED
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** new dataset training (77% from Audio Set, 33% from Huawei) and some bad case study
 
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第193行： 第203行：
 
|Yang Wei
 
|Yang Wei
 
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* Nonlinear layer adaptation for text enroll kws model on English data, a little better.
 
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第203行： 第213行：
 
|Turi
 
|Turi
 
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* Thesis review
 
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2025年3月31日 (一) 10:59的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • AI handbook college version
Lantian Li
  • AI Handbook (College Edition) (4/10)
  • Project Matters (BUPT and Huawei)
  • Review Some Papers
Ying Shi
  • Huawei project cooperation
Zhenghai You
  • Training second iteration TSE model for Huawei project ( eol 0db SI-SDR （once:6.963）-> (twice:8.428))[1]
  • Check the breakdown of the host to China Unicom
Junming Yuan
  • MT-HuBERT paper-CN-v0.1(Done)
  • some AI handbook works(checking & revisions) with Brother Qiang
  • some AI practice handbook works
  • Review primary school PPT
Xiaolou Li
  • The reproduction of LipVoicer is nearly complete — the melgen, vocoder, and VSR components are ready. The remaining step is to fine-tune the ASR module.
  • Fixed some bugs of VSR big data training.
Zehua Liu
  • Paper Reading on last Friday
  • Reproducing Accurately Lip2Speech paper，maybe get some Result this week.
Pengqi Li
  • Urgent tasks with Qiang Brother
    • Handbook checking and revisions, PPT development
  • Modified the paper for "Design course"
  • Courses and report(Tuesday, Saturday, Today)
Wan Lin
  • Ablation experiments [2]
  • Experiments for diff. Transformer layers
Tianhao Wang
  • Huawei project things
    • test report
    • vggsound 44 classes model training
  • Huawei interview
Xiaoxue Luo
  • Sound separation
    • familiar with the code of our model
  • check and revise the AI handbooks
Zhenyu Zhou
Junhui Chen
  • finished diarization test in vox-e (result is normal)
  • read paper
Jiaying Wang
  • use Whisper replace the CTC calculation module: reading paper and preparing code.
  • modify the bp strategy of the current CTC loss.
Yu Zhang
  • Multi Agent System
    • debug about new long-term short-term trade policy
  • Huawei AED
    • new dataset training (77% from Audio Set, 33% from Huawei) and some bad case study
Wenqiang Du
  • Summit middl handbook
Yang Wei
  • Nonlinear layer adaptation for text enroll kws model on English data, a little better.
Turi
  • Thesis review
Yue Gu
  • almost finish 5 speakers'exps，plan to write the paper
  • plan to give the presentation after accomplishing the introduction
  • proofread the AI handbooks
Qi Qu
  • NPU (MR536) models benchmark regarding speed [3].
  • KWS models for Chaoshan dialect released.
取自“http://index.cslt.org/mediawiki/index.php?title=2025-03-31&oldid=42984”