“2025-02-17”版本间的差异

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* The results of MT-Hubert/Cocktail-Hubert/Hubert on LS960[https://z1et6d3xtb.feishu.cn/docx/DRICd10VCodDfOxXbDMcI97snod]
 
* The results of MT-Hubert/Cocktail-Hubert/Hubert on LS960[https://z1et6d3xtb.feishu.cn/docx/DRICd10VCodDfOxXbDMcI97snod]
 
**15-shot finetuning(clean/Mixup/MT):MT-HuBERT > Cocktail-Hubert > Hubert
 
**15-shot finetuning(clean/Mixup/MT):MT-HuBERT > Cocktail-Hubert > Hubert
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** MPC-Hubert is in progress
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** MPC-Hubert is still in the training queue
 
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2025年2月17日 (一) 10:51的版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Middle-School education PPT
Lantian Li
  • Final version proofreading of the high-school book (17/40)
  • Polish IS2025 papers.
Ying Shi
  • Conditional chain overlap asr
    • pooling order
    • padding chain
    • augmentation padding
    • here
Zhenghai You
  • Completed the revision of the second edition of the paper
Junming Yuan
  • The results of MT-Hubert/Cocktail-Hubert/Hubert on LS960[1]
    • 15-shot finetuning(clean/Mixup/MT):MT-HuBERT > Cocktail-Hubert > Hubert
    • MPC-Hubert is still in the training queue
Xiaolou Li
  • Paper modification
  • Data processing (2000h / 4000h)
  • Some new demand in data collection server
  • Paper reading
Zehua Liu
  • CNVSRC 2024 and VSR-LLM paper writing and revise, and do some relevant Experiments.
Pengqi Li
  • XAI of Speaker Verification[2]
    • some experiment looks like successful
    • Writing paper same time(30%)
  • Report recently work on Friday
Wan Lin
Tianhao Wang
Xiaoxue Luo
  • Check the pictures in AI high school handbook,will be completed in these days
  • The learning and production of AI daily signature
Zhenyu Zhou
  • Graduation article
  • interspeech paper with zhenghai
  • code double check with jiaying
Junhui Chen
  • Read paper about e2e SV / loss (little useful content for NS).
  • Continue to think and try other tricks, but no meaningful results yet.
Jiaying Wang
  • conditional chain with ctc experiment
    • loss decreased slowly in the previous few epochs, almost stop at around -3
    • checked the model code: no bug
    • test results of these epoch to determine the problem
Yu Zhang
Wenqiang Du
  • Continue to check AI primary handbook（done）
  • Continue to check AI middle handbook（done）
Yang Wei
Turi
Yue Gu
  • fine-grained personality-gating method：finish the code and model training，ready to test
Qi Qu
  • Successful porting of text-enroll KWS models (hybrid quantization) to mr536 w/ low precision loss, same RT as previous version (which shows drastic precision loss). [3]
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