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| | |Sitong Cheng | | |Sitong Cheng |
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| − | * | + | * DNF of pronunciation scoring. |
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| − | * | + | * Still DNF. |
| | + | * Do some experiments. |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- Finish the analysis for optimal score
- Design a new approach for condition transfer
- Initial experiment on subspace DNF
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- Compte a draft on condition transfer
- More experiments on subspace DNF
- More investigation on distirbutional x-vector
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| Yunqi Cai
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- investigate energy model on NL socre
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| Zhiyuan Tang
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- Conditioned flow with waveglow backend.
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- Conditioned flow with waveglow backend.
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| Lantian Li
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- Prepare back-end scoring (python vs. Kaldi).
- Fast decoding of xvector in tf-kaldi.
- Clean up tools (Leven dis and local CMD).
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| Ying Shi
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- Report about speech enhancement
- Summarize current conclusions and make plan
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- Retrain DAE, double flow and double AE
- Train Flow-VAE
- Prepare paper
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| Wenqiang Du
|
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| Haoran Sun
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| Yue Fan
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- Complete half of the data collection
- Promotion of crawler tools
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- Simultaneously work on the data download and pipeline process of cn2
- Train dnf model with gun&nongun and test
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| Jiawen Kang
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- Learning Meta learning
- Experiments report
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- Arragement code.
- implement metalearning
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| Ruiqi Liu
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- Training model and arranging experiments data.
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- Arranging experiments code.
- Investigate meta-learning and do experiments
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| Sitong Cheng
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- DNF of pronunciation scoring.
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- Still DNF.
- Do some experiments.
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| Zhixin Liu
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| Haolin Chen
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- Train double glow with white-noised TIMIT, mel sprctrogram
- Replace noisy model in double glow with VAE
- Full evaluation using PESQ, STOI, fwsegSNR on white-noised test data
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- Summarize result
- Prepare paper
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