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第56行: |
第56行: |
| |Ying Shi | | |Ying Shi |
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− | * | + | * BP + length norm enhancement method |
− | | + | * Sub space flow |
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− | * | + | * Continue on Sub space flow |
| + | ** Mult-SRN variance |
| + | ** Cyclie loss |
| + | * Sub space flow plan B |
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People |
This Week |
Next Week |
Task Tracking (DeadLine)
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Dong Wang
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- More deisgn on prior-based denoising
- Investigation on the optimum of NL with respect to liklihood ratio test
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- Complete the deepnorm2 paper
- Continue on the neural Bayes book
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Yunqi Cai
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Zhiyuan Tang
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- BetaFlow.
- Layer-by-layer training for flow.
- Det-constant flow.
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- Analyse det-constant (mostly 1) flow.
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Lantian Li
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- Enroll-test mismatch (data collection)
- PyPLDA
- Deisgn on flow-based scoring.
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Ying Shi
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- BP + length norm enhancement method
- Sub space flow
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- Continue on Sub space flow
- Mult-SRN variance
- Cyclie loss
- Sub space flow plan B
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Haoran Sun
|
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Yue Fan
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- Baseline for sound event detection
- CN 's MP4 files organization
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- Experiments with different data and models
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Jiawen Kang
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- Write multi-condition paper.
- Arrange near-far data.
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- Arrange cross-channel data.
- Modify code for new data.
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Ruiqi Liu
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- Complete the experiment and modify the paper
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Haolin Chen
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- FFJORD/Glow test on BP denoising
- Review papers on self-supervised learning in speech processing
- Prepare for the report
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- Subspace method for denoising
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