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| 第68行： |
第68行： |
| | |Chen Chen | | |Chen Chen |
| | || | | || |
| − | * | + | * Release UY/CH-CHILD dataset |
| | + | * help with NCMMSC paper about CNVSRC 2024 |
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| | * | | * |
| 第91行： |
第92行： |
| | |Zehua Liu | | |Zehua Liu |
| | || | | || |
| − | *NCMMSC papper | + | * NCMMSC papper |
| − | *change parameter | + | * change parameter |
| | || | | || |
| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- Review of a few papers from NCMMSC, MDPI etc.
- Review papers regarding AI for Medicine
- Refine "the principle of AI education in primary schools"
- A few public talks
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| Lantian Li
|
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| Ying Shi
|
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| Zhenghai You
|
- Start training on complete data for Huawei TSE project
- Change adaptlayer from cancat to FiLm [1]
- Test inference time and SISDR in online model
- Consider a TSE network that combines mixture and enrollment with attractor to extract speaker information
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| Junming Yuan
|
- SSL model finetuning analysis v1[2].Need to check.
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| Chen Chen
|
- Release UY/CH-CHILD dataset
- help with NCMMSC paper about CNVSRC 2024
|
|
|
| Xiaolou Li
|
- LRS2 full test[3]
- Paper reading
|
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| Zehua Liu
|
- NCMMSC papper
- change parameter
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| Pengqi Li
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| Wan Lin
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| Tianhao Wang
|
- Neural Scoring exps[4]
- share encoder
- channel attention (similar to EA-ASP, useless)
- early frequency attention (fbank level, training)
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| Zhenyu Zhou
|
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| Junhui Chen
|
- Neural Scoring supplementary experiments
- Share Encoder NS: NS > Share Encoder NS > EA-ASP (Importance of decoupling)
- Ways of attention (F-bank Enroll-Aware, seems useful)
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|
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| Jiaying Wang
|
- debug cohort transformer structure (confused why transformer does not work)
- deeper network: 2 attention head, 8 layer/block, 4 blocks in total(failed)
- use only MF training set (failed)
- use position encoding and transformer block in speechbrain(failed both pit and sisdr loss)
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| Yu Zhang
|
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| Wenqiang Du
|
- Preparing for the final exam
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| Yang Wei
|
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| Lily
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- Thesis
- Prepare slides for Xinjiang teacher's course
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| Turi
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- End of semester course project presentations
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| Yue Gu
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| Qi Qu
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