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