|
|
| 第19行： |
第19行： |
| | |Yunqi Cai | | |Yunqi Cai |
| | || | | || |
| − | * | + | * experiments on DSC flow ivector |
| | + | * experiments on DSC flow ivector constant logdet |
| | + | * investigate constant logdet NF flow |
| | || | | || |
| | * | | * |
| 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
|
- More literature reivew for denosing
- More literature review/theory design for NDA.
|
|
| Yunqi Cai
|
- experiments on DSC flow ivector
- experiments on DSC flow ivector constant logdet
- investigate constant logdet NF flow
|
|
|
| Zhiyuan Tang
|
|
|
|
| Lantian Li
|
- Enroll-test mismatch (data)
- DT-DNF for ASV.
|
- 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
|
- finish the result form with RPCA and the new flow
- train an energy model
|
|
| Haoran Sun
|
|
|
|
| Yue Fan
|
- Check cn2
- Gun data preparation
- Do exprintments on mdl-cn
|
- Perform more experiments on gunshot recognition with speaker recognition
|
|
| Jiawen Kang
|
- Organize meta-learning code
- Check cn2
- Prepare shared PPT
|
- Prepare cross-channel and near-far data.
|
|
| Ruiqi Liu
|
|
- Kaldi baseline experiments on cn2.
- Get some information about speakers to analyze cn2.
- Other experiments.
|
|
| Sitong Cheng
|
|
|
|
| Zhixin Liu
|
|
|
|
| Haolin Chen
|
|
|
|
