“2025-04-21”版本间的差异

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（14位用户的18个中间修订版本未显示）
第20行： 第20行：
 
|Lantian Li
 
|Lantian Li
 
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* Refresh audio retrieval proposal
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* Translate ML book
 
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第31行： 第32行：
 
|Ying Shi
 
|Ying Shi
 
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* thesis
 
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第43行： 第44行：
 
|Zhenghai You
 
|Zhenghai You
 
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* Weekly report
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* Huawei project (add cosine loss, get slightly better results)[https://z1et6d3xtb.feishu.cn/wiki/OXubwl2fIip91vkYsgMc1duhnLd]
 
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第53行： 第55行：
 
|Junming Yuan
 
|Junming Yuan
 
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* Make Jiaoyubu's AI lesson PPTs with Qiang bro(3)
 
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第64行： 第66行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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*Gongan Document Writing
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*Gongan PPT making
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*Making presentation system
 
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第75行： 第79行：
 
|Zehua Liu
 
|Zehua Liu
 
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*Gongan Document Writing
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*Gongan PPT making
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*Making presentation system
 
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第86行： 第92行：
 
|Pengqi Li
 
|Pengqi Li
 
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* developed Jiaoyubu's AI lesson PPTs with Qiang bro
 
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第97行： 第103行：
 
|Wan Lin
 
|Wan Lin
 
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* Supply experiments, almost finish, nothing strange
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* Start writing paper this week
 
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第108行： 第115行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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* huawei huohua 2-6mix model training (almost done)
 
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第119行： 第126行：
 
|Xiaoxue Luo
 
|Xiaoxue Luo
 
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* Huawei huohua
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** Replace ground truth with CED topK labels(ground truth SDR:12.2182, CED topk SDR:7.4349)
 
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第141行： 第149行：
 
|Junhui Chen
 
|Junhui Chen
 
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* Exp for NS
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* Start writing paper this week
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* Reading paper
 
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第152行： 第162行：
 
|Jiaying Wang
 
|Jiaying Wang
 
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* Network+ materials preparation with wenqiang
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* Explore FunASR：need to register the speakers in advance，not very suitable
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* Replace the cnn in ASR part and validate the performance
 
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第163行： 第175行：
 
|Yu Zhang
 
|Yu Zhang
 
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*  
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* Multi Agent Investment:
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** weight average result pretty promising (win rate 0.58, 2% annual excess return compare to baseline)
 +
** prompt praetor to generate detailed debate topic first.
 
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第174行： 第188行：
 
|Wenqiang Du
 
|Wenqiang Du
 
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*  Jiaoyubu's AI lesson（7/10）with Junming and Pengqi
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*  Jiaoyubu's AI lesson（6/10）with Junming and Pengqi
 
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第185行： 第199行：
 
|Yang Wei
 
|Yang Wei
 
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* Organizing experiment results for text enroll kws.
 
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第195行： 第209行：
 
|Turi
 
|Turi
 
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* shared conference experience
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* Some thesis forms
 
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第212行： 第227行：
 
|Qi Qu
 
|Qi Qu
 
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* WebRTC frontend audio processing (AEC+NS+AGC) module: compiled as a C++ library for mr536, used to enhance experience of bidirectional calling.
 +
* Adjusting NPU clock frequency on mr536 to balance performance and heat.
 +
* Recompiling v851se kernels using glibc toolchains instead of musl to address a compatibility issue.
 +
* Trying to use KWS models (both audio- and text-enroll) to filter keyword submissions from domestic elderly products.
 
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2025年4月21日 (一) 11:33的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Refine the framework of AI text book of primary school.
  • Two talks for Tencent.


Lantian Li
  • Refresh audio retrieval proposal
  • Translate ML book
Ying Shi
  • thesis
Zhenghai You
  • Weekly report
  • Huawei project (add cosine loss, get slightly better results)[1]
Junming Yuan
  • Make Jiaoyubu's AI lesson PPTs with Qiang bro(3)
Xiaolou Li
  • Gongan Document Writing
  • Gongan PPT making
  • Making presentation system
Zehua Liu
  • Gongan Document Writing
  • Gongan PPT making
  • Making presentation system
Pengqi Li
  • developed Jiaoyubu's AI lesson PPTs with Qiang bro
Wan Lin
  • Supply experiments, almost finish, nothing strange
  • Start writing paper this week
Tianhao Wang
  • huawei huohua 2-6mix model training (almost done)
Xiaoxue Luo
  • Huawei huohua
    • Replace ground truth with CED topK labels(ground truth SDR:12.2182, CED topk SDR:7.4349)
Zhenyu Zhou
Junhui Chen
  • Exp for NS
  • Start writing paper this week
  • Reading paper
Jiaying Wang
  • Network+ materials preparation with wenqiang
  • Explore FunASR：need to register the speakers in advance，not very suitable
  • Replace the cnn in ASR part and validate the performance
Yu Zhang
  • Multi Agent Investment:
    • weight average result pretty promising (win rate 0.58, 2% annual excess return compare to baseline)
    • prompt praetor to generate detailed debate topic first.
Wenqiang Du
  • Jiaoyubu's AI lesson（6/10）with Junming and Pengqi
Yang Wei
  • Organizing experiment results for text enroll kws.
Turi
  • shared conference experience
  • Some thesis forms
Yue Gu
  • write the draft of introduction, complement some exps, draw method figure
Qi Qu
  • WebRTC frontend audio processing (AEC+NS+AGC) module: compiled as a C++ library for mr536, used to enhance experience of bidirectional calling.
  • Adjusting NPU clock frequency on mr536 to balance performance and heat.
  • Recompiling v851se kernels using glibc toolchains instead of musl to address a compatibility issue.
  • Trying to use KWS models (both audio- and text-enroll) to filter keyword submissions from domestic elderly products.
取自“http://index.cslt.org/mediawiki/index.php?title=2025-04-21&oldid=43053”