“2024-12-16”版本间的差异

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（14位用户的17个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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* High-school AI handbook recheck
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* Talk on Hebei Education conference
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* Paper review for TASLP
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第33行： 第37行：
 
|Ying Shi
 
|Ying Shi
 
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* Revise the HUAWEI Project Proposal
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** more test about Google App and write test report
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* Prepare for the Interview
 
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* Back to conditional chain-overlap asr model
 
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第44行： 第50行：
 
|Zhenghai You
 
|Zhenghai You
 
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* Huawei Stage II Model Training and Experimental Testing
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* Revise Topicreport
 
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第53行： 第60行：
 
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|Junming Yuan
 
|Junming Yuan
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|Chen Chen
 
 
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第76行： 第72行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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*
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* Modify Proposal
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* Prepare 2025 Calendar
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* fix bug of data collection server(often in trouble recently)
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* Finished 433h training, but not infer
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* bad cold
 
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第87行： 第87行：
 
|Zehua Liu
 
|Zehua Liu
 
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*Start-term Document Revise
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*Some Corruption Exp(still training)
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*Upload GA data to server
 
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第110行： 第112行：
 
|Wan Lin
 
|Wan Lin
 
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*
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* NS
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** Solve the problem of slow training
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** Results [https://z1et6d3xtb.feishu.cn/docx/MxBNdPbLao0tsoxkBVCcUgUoneh?from=from_copylink]
 
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第120行： 第124行：
 
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|Tianhao Wang
 
|Tianhao Wang
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* Revise Start-term Document
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* paper reading
 
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*
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|Xiaoxue Luo
 +
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* polish the 2025 calendar
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* prepare a course presentation
 
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*
 
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第132行： 第149行：
 
|Zhenyu Zhou
 
|Zhenyu Zhou
 
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*Submit interim report
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*Some personal matters
 
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第143行： 第161行：
 
|Junhui Chen
 
|Junhui Chen
 
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* prepare for final exam
 
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第165行： 第183行：
 
|Yu Zhang
 
|Yu Zhang
 
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* Huawei AED Delivery Package
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* Revise Topicreport
 
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第176行： 第195行：
 
|Wenqiang Du
 
|Wenqiang Du
 
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* update Exhibition scene  KWS model [https://z1et6d3xtb.feishu.cn/docx/J3gVdqPc9o31WrxCGSpcvjo8nOr?from=from_copylink]
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* Tencent AI Course Development（2/35）
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** 2 Sample Courses（80%）
 
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第187行： 第207行：
 
|Yang Wei
 
|Yang Wei
 
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* Correct the performance of text enroll kws model (with cross attention) on simple testset.(fnr 15% -> 2%)
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* Experiment on text enroll kws model (no cross attention)
 
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第207行： 第228行：
 
|Turi
 
|Turi
 
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* Evaluated ASR model using CER (6.08%) & Thesis writing
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* Application for University
 
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第224行： 第246行：
 
|Qi Qu
 
|Qi Qu
 
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* NPU confirmed working for both Zeus-KWS and CED models on both mr536 and v851se platforms: dynamic fixed point int16 quantization.
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* KWS training data processed for Yichang (Hubei) dialect: 6 keywords.
 
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* Adapt Text-Enroll-KWS model(s) to mr536 NPU.
 
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2024年12月16日 (一) 10:59的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • High-school AI handbook recheck
  • Talk on Hebei Education conference
  • Paper review for TASLP


Lantian Li
  • Prepare 2025 Calendar (4th round, thx Xue/Lou)
  • Review BUPT Master Viva Report (Done)
  • Apply BUPT Innovation Scholar (Failed... Fxxk)
  • Submit NSFC Annual Report (Done)
  • Prepare some materials for another rubbish project...
  • Go on AI-Graph EN Chapter 4 (37/50)
  • Two HUAWEI projects delivery
Ying Shi
  • Revise the HUAWEI Project Proposal
    • more test about Google App and write test report
  • Prepare for the Interview
  • Back to conditional chain-overlap asr model
Zhenghai You
  • Huawei Stage II Model Training and Experimental Testing
  • Revise Topicreport
Junming Yuan
Xiaolou Li
  • Modify Proposal
  • Prepare 2025 Calendar
  • fix bug of data collection server(often in trouble recently)
  • Finished 433h training, but not infer
  • bad cold
Zehua Liu
  • Start-term Document Revise
  • Some Corruption Exp(still training)
  • Upload GA data to server
Pengqi Li
  • paper reading
  • Check the primary school version(8/10)
  • Make Proposal for IS25 Special Session of XAI
Wan Lin
  • NS
    • Solve the problem of slow training
    • Results [1]
Tianhao Wang
  • Revise Start-term Document
  • paper reading
Xiaoxue Luo
  • polish the 2025 calendar
  • prepare a course presentation
Zhenyu Zhou
  • Submit interim report
  • Some personal matters
Junhui Chen
  • prepare for final exam
Jiaying Wang
Yu Zhang
  • Huawei AED Delivery Package
  • Revise Topicreport
Wenqiang Du
  • update Exhibition scene KWS model [2]
  • Tencent AI Course Development（2/35）
    • 2 Sample Courses（80%）
Yang Wei
  • Correct the performance of text enroll kws model (with cross attention) on simple testset.(fnr 15% -> 2%)
  • Experiment on text enroll kws model (no cross attention)
Lily
Turi
  • Evaluated ASR model using CER (6.08%) & Thesis writing
  • Application for University
Yue Gu
Qi Qu
  • NPU confirmed working for both Zeus-KWS and CED models on both mr536 and v851se platforms: dynamic fixed point int16 quantization.
  • KWS training data processed for Yichang (Hubei) dialect: 6 keywords.
  • Adapt Text-Enroll-KWS model(s) to mr536 NPU.
取自“http://index.cslt.org/mediawiki/index.php?title=2024-12-16&oldid=42644”