“2024-07-01”版本间的差异

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* Assisted with design of AI courses for primary, high school
 
* Assisted with design of AI courses for primary, high school
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* Some chores about 'AIradiance'
 
** Prepare application for Beijing Science and Technology Progress Award  
 
** Prepare application for Beijing Science and Technology Progress Award  
 
** live broadcast
 
** live broadcast
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* Some chores about 'AIradiance'
 
 
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2024年7月1日 (一) 10:45的版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • A trial talk in Retired Professor Association of THU.
  • Check Aigraph slides


Lantian Li
Ying Shi
  • Text enroll Keyword Spotting
    • Training with sufficient data augmentation [failed]
    • Employ Homo loss
  • Cohort Conditional Chain Overlap ASR
    • Fix the bug about the positional embedding of Condition, the performance is still not good
  • Review several NC paper
Zhenghai You
  • Complete the project deliverables
Junming Yuan
  • find the bug in SSL model finetuning experiment with multi-lingual
    • double check result in [1]
    • The results need check again.
Chen Chen
Xiaolou Li
Zehua Liu
  • VSP-LLM Reproduce（LRS3(30h) wer:36.32 > wer: 29.2）[2]
  • still need work on the code
Pengqi Li
Wan Lin
Tianhao Wang
  • Neural Scoring [3]:
    • vox: vox1-e, vox1-h test [4]
    • cn: three genres fine-tuning: resnet and ns, 2s and 4s
    • weekly report
Zhenyu Zhou
  • Huawei Project Submission
Junhui Chen
  • Neural Scoring [5]:
    • vox: vox1-e, vox1-h test [6]
    • vox: one transformer encoder layer training
    • cn: three genres fine-tuning: resnet and ns, 2s and 4s
Jiaying Wang
  • Preliminary validation: cohort works[7]
Yu Zhang
  • Finance
    • Data Collection (2015 - 2019 HS300 stocks)
  • AED
    • 8k 2s CNN model training and Window inference code
Wenqiang Du
  • Quantified the kws model of Aibabel
  • Training dialect models for AIbabel（ Uyghur language）
  • Train a joint model for Chinese, Uyghur, and Kazakh languages
Yang Wei
  • AIbabel
    • Learn to train and test KWS model
Lily
  • Assisted with design of AI courses for primary, high school
  • Some chores about 'AIradiance'
    • Prepare application for Beijing Science and Technology Progress Award
    • live broadcast
Turi
  • Thesis Proposal Defense
  • Data Collection
    • 31K utterences so far
Yue Gu
  • Prepare the live content
  • writing paper
Qi Qu
  • AED:
    • CED + Linear: c/jni/python lib development and test.
  • AED:
    • CED: Linear to be trained on data.
    • On-device demo.
取自“http://cslt.org/mediawiki/index.php?title=2024-07-01&oldid=41959”