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| | + | |Haolin Chen |
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| | + | * Optimize double glow model structure |
| | + | * Calc metrics |
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| | + | * Verify denoising fpr ASR |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- Almost finished the simulation test for NL
- Completed proof of several important properties of NL
|
- Complete the draft of NL paper
- More investigation on subspace DNF
|
|
| Yunqi Cai
|
- Reading papers about SRE back-end score method and Energy based models
|
|
|
| Zhiyuan Tang
|
- Basic glow for speech normalization.
- Multi-conditioned glow, on phones first.
|
|
|
| Lantian Li
|
|
|
|
| Ying Shi
|
- Double AutoEncoder baseline
- compute fwSNR
|
- compare fwSNR between Double AutoEncoder Double Flow and DAE
- experiment about semi-supervise Double Flow
- verify the denoise result via ASR system
|
|
| Wenqiang Du
|
- Prepare materials for graduation
|
|
|
| Haoran Sun
|
|
|
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| Yue Fan
|
- Optimize baseline model
- Supplement glow experiment
- Test the crawler code
|
- Do experiments on dnf
- Complete CN2‘s data download
|
|
| Jiawen Kang
|
- Investigation on adaptation.
- Arranging experiment results.
|
|
|
| Ruiqi Liu
|
- More experiments for different speakers and scenes.
- Continue training the model.
|
- Learn Mate-learning，Domain adaptation.
|
|
| Sitong Cheng
|
|
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| Zhixin Liu
|
|
|
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| Haolin Chen
|
- Optimize double glow model structure
- Calc metrics
|
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