| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- More deisgn on prior-based denoising
- Investigation on the optimum of NL with respect to liklihood ratio test
|
- Complete the deepnorm2 paper
- Continue on the neural Bayes book
|
|
| Yunqi Cai
|
|
|
|
| Zhiyuan Tang
|
- BetaFlow.
- Layer-by-layer training for flow.
- Det-constant flow.
|
- Analyse det-constant (mostly 1) flow.
|
|
| Lantian Li
|
- Enroll-test mismatch (data collection)
- PyPLDA
- Deisgn on flow-based scoring.
|
|
|
| Ying Shi
|
- BP + length norm enhancement method
- Sub space flow
|
- Continue on Sub space flow
- Mult-SRN variance
- Cyclie loss
- Sub space flow plan B
|
|
| Haoran Sun
|
|
|
|
| Yue Fan
|
- Baseline for sound event detection
- CN 's MP4 files organization
|
- Experiments with different data and models
|
|
| Jiawen Kang
|
- Write multi-condition paper.
- Arrange near-far data.
|
- Arrange cross-channel data.
- Modify code for new data.
|
|
| Ruiqi Liu
|
|
- Complete the experiment and modify the paper
|
|
| Haolin Chen
|
- FFJORD/Glow test on BP denoising
- Review papers on self-supervised learning in speech processing
- Prepare for the report
|
- Subspace method for denoising
|
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