“2025-03-24”版本间的差异

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* VSR big data training (5500h) and debug
 
* VSR big data training (5500h) and debug
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* LipVoicer reproduce on Mandarin (overfitting now, still finding the best hyperparameter)
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* Reproducing LipVoicer on Mandarin (overfitting now, still finding the best hyperparameter)
 
* Writing the VTS test document
 
* Writing the VTS test document
 
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2025年3月24日 (一) 10:48的版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
Lantian Li
Ying Shi
  • revisit cohort conditional chain overlap asr and conduct experiments (model is in training)
  • thesis
Zhenghai You
Junming Yuan
  • Rewrite MT-HuBERT paper (1/5)
  • AI practice handbook design of primary school and middle school(contents finished)
Xiaolou Li
  • VSR big data training (5500h) and debug
  • Reproducing LipVoicer on Mandarin (overfitting now, still finding the best hyperparameter)
  • Writing the VTS test document
Zehua Liu
  • GA VTS test document writing
  • VTS paper Reading and Sharing this Friday
Pengqi Li
  • Prepare the AI course for Tsinghua University middle School.
  • write paper for "Design course"
Wan Lin
  • run ablation experiments [1]
Tianhao Wang
  • dragon05 data transfer
  • 4-mix & 5-mix training
  • huawei project things
Xiaoxue Luo
  • Sound separation
    • baseline: there are some bugs in previous code that resulting in low test results, so I modified the code and retrained it
  • filter testing data for Huawei project
Zhenyu Zhou
Junhui Chen
  • improve code efficiency, continue to test diarization on vox-e
  • read paper
Jiaying Wang
Yu Zhang
Wenqiang Du
  • Summit AI primary handbook
  • AI primary handbook's PPT (44/44),Need to Check
  • Check AI middl handbook(108/278)
Yang Wei
  • Text enroll kws model adaptation with keyword label from decoding and non-linear adaptation layer. (in progress)
Turi
Yue Gu
  • FIP-based personality-gated adaptation with synthetic data for personal ASR, almost finish preview evaluation exps.
  • read 2 TTS-augment papers and reivew an interspeech2025 paper
Qi Qu
  • Text-enroll KWS: different window shifts (e.g. one at 100ms and the other at 200ms) for different keywords.
  • VPR experiment: finding suitable thresholds for defined use cases.
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