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| （2位用户的2个中间修订版本未显示） |
| 第44行： |
第44行： |
| | |Lantian Li | | |Lantian Li |
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| − | * | + | * Complete the study on back-end scoring (python vs. Kaldi). |
| | + | * Quantitative analysis on DNF model. |
| | + | * Obtain the basic result on VAE-based Bayesian scoring. |
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| − | * | + | * Study on NDA scoring. |
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| | * | | * |
| 第67行： |
第69行： |
| | |Wenqiang Du | | |Wenqiang Du |
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| − | * | + | *test DNF based ASR system |
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| | * | | * |
| 第126行： |
第128行： |
| | |Sitong Chengs | | |Sitong Chengs |
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| − | * | + | * Finish training with fbank |
| | + | * Made some tests on the model |
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| − | * | + | * Extract more feature with higher dimension |
| | + | * Make tests on variable models |
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| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
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- 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
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- More investigation on subspace DNF & NDA. They look closely connected.
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| Yunqi Cai
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- Some experiments on EBMs model
- Modify the DNF patent
- Coding on VAE based bayes score model
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- More experiments of VAE based bayes score model
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|
| Zhiyuan Tang
|
- Multi-conditioned glow, on how to involving in spk info.
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- Continue following blow strategies, or adversarial examples.
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| 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.
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|
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| Ying Shi
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- Summarize result about current model.
- more analysis about speech enhancement via Flow
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- More experiments based on current result
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| Wenqiang Du
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- test DNF based ASR system
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| Haoran Sun
|
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| Yue Fan
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- Looking for data sources
- Upload data and program processing
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- Solve the remaining data collection issues
- Processing 500 people with the pipeline program
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| Jiawen Kang
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- Speaker vector distribution experiments.
- Arranging tf-kaldi codes.
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- Runing meta learning experiments.
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| Ruiqi Liu
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- Arrang experiments code and observe the distribution of speakers in different scenes.
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- Learn mate-learning and do experiments.
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| Sitong Chengs
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- Finish training with fbank
- Made some tests on the model
|
- Extract more feature with higher dimension
- Make tests on variable models
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|
| Zhixin Liu
|
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| Zhixin Liu
|
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| Haolin Chen
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- Some investigation on the structure of glow
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- More experiments
- Prepare paper
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