| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- More investigation on subspace DNF.
- Coine the NDA theory, passed some simulation tests.
- Some ideas on Beyasian scoring and closed-form training for variational Bayes.
- Drafted the channel-transform paper
|
- More investigation on subspace DNF & NDA. They look closely connected.
|
|
| Yunqi Cai
|
- Some experiments on EBMs model
- Modify the DNF patent
- Coding on VAE based bayes score model
|
- More experiments of VAE based bayes score model
|
|
| Zhiyuan Tang
|
- Multi-conditioned glow, on how to involving in spk info.
|
- Continue following blow strategies, or adversarial examples.
|
|
| Lantian Li
|
- Complete the study on back-end scoring (python vs. Kaldi).
- Quantitative analysis on DNF model.
- Obtain the basic result on VAE-based Bayesian scoring.
|
|
|
| Ying Shi
|
- Summarize result about current model.
- more analysis about speech enhancement via Flow
|
- More experiments based on current result
|
|
| Wenqiang Du
|
- test DNF based ASR system
|
|
|
| Haoran Sun
|
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|
| Yue Fan
|
- Looking for data sources
- Upload data and program processing
|
- Solve the remaining data collection issues
- Processing 500 people with the pipeline program
|
|
| Jiawen Kang
|
- Speaker vector distribution experiments.
- Arranging tf-kaldi codes.
|
- Runing meta learning experiments.
|
|
| Ruiqi Liu
|
- Arrang experiments code and observe the distribution of speakers in different scenes.
|
- Learn mate-learning and do experiments.
|
|
| Sitong Chengs
|
- Finish training with fbank
- Made some tests on the model
|
- Extract more feature with higher dimension
- Make tests on variable models
|
|
| Zhixin Liu
|
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| Zhixin Liu
|
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|
| Haolin Chen
|
- Some investigation on the structure of glow
|
- More experiments
- Prepare paper
|
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