“2024-03-25”版本间的差异

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（13位用户的17个中间修订版本未显示）
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|Dong Wang
 
|Dong Wang
 
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* Design learn not to listen, to reduce false alarms for KWS
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* Design learn not to listen, to reduce false alarms for KWS [https://z1et6d3xtb.feishu.cn/wiki/UTS6w71hOio23ikNT2XcPvbznkd?fromShareWithMeNew=1]
 
* Design AI courses for primary and middle schools
 
* Design AI courses for primary and middle schools
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* Finaly review of NeuralMag paper
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* Finaly review of NeuralMag paper [https://www.overleaf.com/project/655f2c44824b8de1fdfeae23]
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* Rebutal for IJCAI paper
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* Rebutal for IJCAI paper [https://www.overleaf.com/project/65f96c74e1c7f322aea4477c]
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|Lantian Li
 
|Lantian Li
 
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* GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh]
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* Rebutal for IJCAI paper
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* ASIP-BUPT (CohortTSE, NeuralScoring)
 
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|Zhenghai You
 
|Zhenghai You
 
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* A matching encoder experiment in cohort[https://z1et6d3xtb.feishu.cn/wiki/SOROw3itGi2Ql1k25bhcqdonnfb]
 
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第57行： 第59行：
 
|Junming Yuan
 
|Junming Yuan
 
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* Experimental report on "learn not to listen"[https://z1et6d3xtb.feishu.cn/docx/W6j4dOZ6WoFU9Lx0BLfc7QR6npd]
 
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第80行： 第82行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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* Reproduce different structure
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** Baseline training with less data
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** Code write and debug
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*** ResNet3D, Branchformer, E-Branchformer, interCTC
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* Paper Reading: Some VSR paper in ICASSP2024
 
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* Experiment in different structure
 
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第91行： 第97行：
 
|Zehua Liu
 
|Zehua Liu
 
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* ASR training for model distillation
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* Paper Reading
 
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第102行： 第109行：
 
|Pengqi Li
 
|Pengqi Li
 
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* Review of speech processing XAI for NSFC
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* summary[https://z1et6d3xtb.feishu.cn/sheets/TISnsS8omhWfOstgoxocGNOFnrd] of speech processing XAI for NSFC
 
** download 160+ papers(113 about speech processing XAI; Traditional XAI method; review)
 
** download 160+ papers(113 about speech processing XAI; Traditional XAI method; review)
 
** Summarize them using LLM and categorize by speech processing task.
 
** Summarize them using LLM and categorize by speech processing task.
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|Wan Lin
 
|Wan Lin
 
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* Neural scoring [https://z1et6d3xtb.feishu.cn/docx/TQvWdk8LVo9ONaxQ5Qac9A2Dn3d?from=from_copylink]
 
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第126行： 第133行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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* Neural scoring docs and codes reviewing
 
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第137行： 第144行：
 
|Zhenyu Zhou
 
|Zhenyu Zhou
 
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* Neural scoring docs and codes reviewing
 
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第148行： 第155行：
 
|Junhui Chen
 
|Junhui Chen
 
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* Neural scoring: mix/overlap/concat test
 
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|Jiaying Wang
 
|Jiaying Wang
 
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* one cohort distance test(The probability of selecting the source closer to the cohort as the target during testing)
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** the rate is still around 0.5
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* speakerbeam with no enroll/cohort + minimal loss training
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** double-check done
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** still training, but seem to converge at val_loss around -3
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** confused
 
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第170行： 第182行：
 
|Yu Zhang
 
|Yu Zhang
 
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* Financial Backtest indicators check
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* Jun Wang R2 SAC codes and papers reading
 
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* Reproduce R2 SAC and FinRL policy
 
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第193行： 第206行：
 
|Yang Wei
 
|Yang Wei
 
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* Prepare for children mispronunciation detection and diagnosis base model
 
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第203行： 第216行：
 
|Lily
 
|Lily
 
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* Paper reading and prepare for journal paper
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* Data annotation (for perception)
 
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2024年4月1日 (一) 03:47的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Design learn not to listen, to reduce false alarms for KWS [1]
  • Design AI courses for primary and middle schools
  • Finaly review of NeuralMag paper [2]
  • Rebutal for IJCAI paper [3]
Lantian Li
  • GPU status [4]
  • Rebutal for IJCAI paper
  • ASIP-BUPT (CohortTSE, NeuralScoring)
Ying Shi
  • Experimental Result for SPL Paper: Phrase Guided End-to-End Target Sentence Extraction from Overlapping Speech
  • Data Preparation
    • Chinese Overlap ASR model
    • Detect wake-up words from Continuous speech
  • Finish draft for SPL paper
  • Finish model training
Zhenghai You
  • A matching encoder experiment in cohort[5]
Junming Yuan
  • Experimental report on "learn not to listen"[6]
Chen Chen
  • entropy analysis
  • group work [7]
  • thesis
Xiaolou Li
  • Reproduce different structure
    • Baseline training with less data
    • Code write and debug
      • ResNet3D, Branchformer, E-Branchformer, interCTC
  • Paper Reading: Some VSR paper in ICASSP2024
  • Experiment in different structure
Zehua Liu
  • ASR training for model distillation
  • Paper Reading
Pengqi Li
  • summary[8] of speech processing XAI for NSFC
    • download 160+ papers(113 about speech processing XAI; Traditional XAI method; review)
    • Summarize them using LLM and categorize by speech processing task.
  • 3.28 will finish v1
Wan Lin
  • Neural scoring [9]
Tianhao Wang
  • Neural scoring docs and codes reviewing
Zhenyu Zhou
  • Neural scoring docs and codes reviewing
Junhui Chen
  • Neural scoring: mix/overlap/concat test
Jiaying Wang
  • one cohort distance test(The probability of selecting the source closer to the cohort as the target during testing)
    • the rate is still around 0.5
  • speakerbeam with no enroll/cohort + minimal loss training
    • double-check done
    • still training, but seem to converge at val_loss around -3
    • confused
Yu Zhang
  • Financial Backtest indicators check
  • Jun Wang R2 SAC codes and papers reading
  • Reproduce R2 SAC and FinRL policy
Wenqiang Du
  • update CN KWS model for AIbabel
    • Using real environment and FA data to update the model
Yang Wei
  • Prepare for children mispronunciation detection and diagnosis base model
Lily
  • Paper reading and prepare for journal paper
  • Data annotation (for perception)
Turi
  • Data Collection App Backend [10]
    • User authentication
    • Data storage
取自“http://cslt.org/mediawiki/index.php?title=2024-03-25&oldid=41517”