| People |
Last Week |
This Week |
Task Tracking (DeadLine)
|
| Yibo Liu
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- Started to reconstruct the vivi code with better structures.
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- Especially need to build proper models for planning and post processing.
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| Xiuqi Jiang
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- Designed a better code structure for further experiments.
- Improved vivi2.0 and made some adjustments to .sh script.
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- Build codes under the new structure.
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| Jiayao Wu
|
- do experiments on node_sparseness and update it on cvss
- re-label some data
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- keep on doing experiments on pruning
- get familiar with pytorch
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|
| Zhaodi Qi
|
- Reduce the lid model and test the results
- Test test set of different channels
- Wrote a model based on asr(tdnn-f)-lid(tdnn) (similar to PTN) to solve channel inconsistency
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- Complete the asr-lid model
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| Jiawei Yu
|
- wrote a tensorflow learning document, and I have not completed it.
- read some papers about attention and find some attention code in GitHub.
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- try to run these attention code figure out mechanism of this code.
|
|
| Yunqi Cai
|
- 1,figured out how the Bert model create the pretraining data and do the pretraining.
- 2,try to use the Bert to do the error correction of a text sentence.
- 3,re-label some ASR data
- 4,Test vivi2.0 model
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- Construct a Text sentence error correction model
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| Dan He
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- Do experiments on comparing test time and update it on cvss
- Read the experiment code carefully
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- Directly decompose the trained parameters and put them into the network for retraining.
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| Yang Zhang
|
- 1. remodified nginx configuration and changed the server networking structure
- 2. tried to learn vae and did a test in wolf server
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- continue to learn and test VAE
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| Wenwei Dong
|
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