“2025-10-13”版本间的差异

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（6位用户的7个中间修订版本未显示）
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|Dong Wang
 
|Dong Wang
 
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* AI book (primary) English version done
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* AI textbook (2nd semester) Grad 3 (1/2)
  
 
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|Zhenghai You
 
|Zhenghai You
 
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* SS 3-5mix benchmark for Huawei Project
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* Multi-Step Infer[https://z1et6d3xtb.feishu.cn/docx/LlgjdMYVbocGD1xjkMSc17Ttnke]
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** Multi-task-search can keep reference metrics on 2-mix data while improving non reference metrics
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** However, on noisy data, our method is not effective, maybe the quality of speech extraction is too poor, exceeding threshold to improve
 
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|Xiaolou Li
 
|Xiaolou Li
 
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* avhubert pretraining iter3 and finetune test
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* orgnize collected data
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* do some prepare for NCMMSC2025
 
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|Zehua Liu
 
|Zehua Liu
 
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* LLM to Generate topics as context For midterm thesis
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* stuff about CNVSRC2025
 
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|Wan Lin
 
|Wan Lin
 
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* Experiments for memory and reasoning [https://z1et6d3xtb.feishu.cn/wiki/NJLtw3l1Xi2xQBkUpCbcRic9nOh?from=from_copylink]
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* Start reviewing and reproducing weixiong's code
 
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第111行： 第119行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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* writing my paper
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* add a multi-modal query baseline
 
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|Jiaying Wang
 
|Jiaying Wang
 
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* separation training
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** 3mix cc and cc-order use loud data
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** 4mix pit and pit-order use loud data
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** 2-5mix cc training code finished
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* spk model
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** change structure to ResNet34 (wait to train)
 
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* Misc. tech support for Babel Technology.
 
* Misc. tech support for Babel Technology.
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|Lily
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* Thesis Writing
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* AIRadiance dailywork
 
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2025年10月13日 (一) 10:58的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • AI book (primary) English version done
  • AI textbook (2nd semester) Grad 3 (1/2)
Lantian Li
  • Review AI Book — College Edition (34/53).
  • My professional title evaluation (1/2).
  • Proposal for audio scene detection.
Ying Shi
  • submitted resumes to many companies
  • prepared for interviews
  • conducted some preliminary experiments on MD tasks
Zhenghai You
  • SS 3-5mix benchmark for Huawei Project
  • Multi-Step Infer[1]
    • Multi-task-search can keep reference metrics on 2-mix data while improving non reference metrics
    • However, on noisy data, our method is not effective, maybe the quality of speech extraction is too poor, exceeding threshold to improve
Junming Yuan
  • Further evaluation of our MT-HuBERT model on 2 speech generation downstream tasks(SS & SE).
    • Result in [2]
Xiaolou Li
  • avhubert pretraining iter3 and finetune test
  • orgnize collected data
  • do some prepare for NCMMSC2025
Zehua Liu
  • LLM to Generate topics as context For midterm thesis
  • stuff about CNVSRC2025
Pengqi Li
Wan Lin
  • Experiments for memory and reasoning [3]
  • Start reviewing and reproducing weixiong's code
Tianhao Wang
  • writing my paper
  • add a multi-modal query baseline
Xiaoxue Luo
  • paper sharing
  • prepare the code of attractor-based speech separation, the model is in training
Junhui Chen
  • collect more novel reflection method metrics for analysis
  • paper reading about LM swarm
Jiaying Wang
  • separation training
    • 3mix cc and cc-order use loud data
    • 4mix pit and pit-order use loud data
    • 2-5mix cc training code finished
  • spk model
    • change structure to ResNet34 (wait to train)
Yu Zhang
  • paper reading and prepare for paper sharing
  • AED: add pitch dim training & test (no significant improvement)
Wenqiang Du
  • Check english version AI primary handbook
  • Dealing with our company accounting issues
Yang Wei
  • Debug training problem of MD model on TIMIT
Yue Gu
  • submit resume and prepare for the job interview
  • SPL paper revision and proof
  • my PhD thesis
Qi Qu
  • Misc. tech support for Babel Technology.
Lily
  • Thesis Writing
  • AIRadiance dailywork
取自“http://index.cslt.org/mediawiki/index.php?title=2025-10-13&oldid=43520”