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第58行: |
第58行: |
| |Ying Shi | | |Ying Shi |
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− | * DEA baseline | + | * DAE baseline |
− | * compare DEA and Double Flow on spectrum level | + | * compare DAE and Double Flow on spectrum level |
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− | * compare DEA and Double Flow on SDR level | + | * compare DAE and Double Flow on SDR level |
| * semi-supervise Double Flow | | * semi-supervise Double Flow |
| * verification the denoise ability on unsteady noise of Double Flow | | * verification the denoise ability on unsteady noise of Double Flow |
第94行: |
第94行: |
| |Yue Fan | | |Yue Fan |
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− | * | + | *Baseline line of svm |
| + | *Data download |
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− | * | + | *Baseline line of svm&gmm |
| + | *Experiments on dnf |
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| * | | * |
People |
This Week |
Next Week |
Task Tracking (DeadLine)
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Dong Wang
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- Investigate between-class regularization, experiemnted with moment match
- Investigate cosine and l2 distance, re-visit the l2-based scoring.
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- More investigation on l2 scoring
- Contiue draft on DNF properties.
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Yunqi Cai
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- Writing the patent of DNF
- Test new code of DNF
- Investigate the total covariance constrain of DNF
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- Finish the patent today
- Process the experiment data of total covariance constrain
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Zhiyuan Tang
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- Analyse the structure of glow for disentanglement.
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- Analyse more steady noise for BP denoising.
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Lantian Li
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- Update frame-based DNF repository.
- Modify class_mean initialization.
- Update Container for class mean update.
- Update visualization tools.
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Ying Shi
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- DAE baseline
- compare DAE and Double Flow on spectrum level
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- compare DAE and Double Flow on SDR level
- semi-supervise Double Flow
- verification the denoise ability on unsteady noise of Double Flow
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Wenqiang Du
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- Verify the differences in model performance between audio recordings on different devices
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Haoran Sun
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Yue Fan
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- Baseline line of svm
- Data download
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- Baseline line of svm&gmm
- Experiments on dnf
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Jiawen Kang
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- Make scripts to calculate subset EER;
- Continiue model experiments;
- Paper introduction part.
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- Length and age EER;
- Continiue model experiments;
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Ruiqi Liu
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- Continue training the model.
- Experiments on CN-Celeb different scenes.
- Experiments on CN-Celeb different genders.
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- Go on the task1.
- Experiments on CN-Celeb different length.
- Prepare paper writing.
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Sitong Cheng
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Zhixin Liu
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Haolin Chen
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- Try Double Flow(Glow) with spectrogram as input, conditional/without condition.
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- Evaluation.
- Optimize model structure.
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