| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- Some experiments with flow-based denoising: GMM-based noise model, spectrum flow criterion.
- Some literature reivew with deep denoising methods
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- More literature reivew for denosing
- More literature review/theory design for NDA.
|
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| Yunqi Cai
|
- experiments on DSC flow ivector
- experiments on DSC flow ivector constant logdet
- investigate constant logdet NF flow
|
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| Zhiyuan Tang
|
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| Lantian Li
|
- Enroll-test mismatch (data)
- DT-DNF for ASV.
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- Enroll-test mismatch (NL scoring)
- DT-DNF for ASV.
|
|
| Ying Shi
|
- compute the result about flow denoise and glow denoise on SDR PESQ fwSNR
- train new flow with both postive samples and negative samples
- train RPCA baseline
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- finish the result form with RPCA and the new flow
- train an energy model
|
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| Haoran Sun
|
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| Yue Fan
|
- Check cn2
- Gun data preparation
- Do exprintments on mdl-cn
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- Perform more experiments on gunshot recognition with speaker recognition
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| Jiawen Kang
|
- Organize meta-learning code
- Check cn2
- Prepare shared PPT
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- Prepare cross-channel and near-far data.
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| Ruiqi Liu
|
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- Kaldi baseline experiments on cn2.
- Get some information about speakers to analyze cn2.
- Other experiments.
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| Sitong Cheng
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| Zhixin Liu
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| Haolin Chen
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