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| （3位用户的6个中间修订版本未显示） |
| 第10行： |
第10行： |
| | |Yibo Liu | | |Yibo Liu |
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| − | * | + | * Tried to reconstruct Song Iambics generation on the previous code. |
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| − | * | + | * Read about GNN and try to relate it to the poem model. |
| | + | * Run BERT and apply to the existing model. |
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| 第53行： |
第54行： |
| | |Zhaodi Qi | | |Zhaodi Qi |
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| − | * | + | * read some papers about DID and other |
| | + | * Run language recognition task |
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| − | * | + | * Continue to complete the language recognition task |
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| 第66行： |
第68行： |
| | |Jiawei Yu | | |Jiawei Yu |
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| − | * | + | * do some Literature survey on spoken Emotion Recognition for speech book |
| | + | * done for extract d-vector and phone vector for max-margin |
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| − | * | + | * run max-margin recipe for extracted vector |
| | + | * Consider how to implement the network structure |
| | + | * finishi the speech book of spoken Emotion Recognition |
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| | * | | * |
| 第77行： |
第82行： |
| | |Yunqi Cai | | |Yunqi Cai |
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| − | * | + | *Run through the Thchs30 data, think about the research plan. |
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| − | * | + | *Get to know every step of the ASR processes, and investigate the RNN LM. |
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| People |
Last Week |
This Week |
Task Tracking (DeadLine)
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| Yibo Liu
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- Tried to reconstruct Song Iambics generation on the previous code.
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- Read about GNN and try to relate it to the poem model.
- Run BERT and apply to the existing model.
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| Xiuqi Jiang
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- Made further adjustments to code, deleting unnecessary files and uploading generated samples to dir 'predict/results'.
- More models have been trained and compared.
- Collated notes on ML book and uploaded them on wiki.
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- Try to train a model generating length-unfixed texts.
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| Jiayao Wu
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- read some papers about kws and write the chapter before this weekend.
- carding the TDNN-F structure and count the lines of weights to prune and do value prune first.
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- finish the assigned chapter of Speech book
- finish the value prune experiment
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| Zhaodi Qi
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- read some papers about DID and other
- Run language recognition task
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- Continue to complete the language recognition task
|
|
| Jiawei Yu
|
- do some Literature survey on spoken Emotion Recognition for speech book
- done for extract d-vector and phone vector for max-margin
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- run max-margin recipe for extracted vector
- Consider how to implement the network structure
- finishi the speech book of spoken Emotion Recognition
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| Yunqi Cai
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- Run through the Thchs30 data, think about the research plan.
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- Get to know every step of the ASR processes, and investigate the RNN LM.
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| Dan He
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- Compared the size of a fully connected layer after tt decomposition through experiment, at the same time compared the train loss, validation loss and test accuracy between the two case.
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- Further compared the inference speed, the precision after retrain.
- Try to decompose more layers of fully connected layers.
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| Yang Zhang
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- Released and published our WeChat app(星云听).
- cleaned my code
- wrote document for this project (have not finished yet).
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- continue to write document.
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