“2019-01-02”版本间的差异
来自cslt Wiki
| （6位用户的9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23行： | 第24行： | ||
|Xiuqi Jiang | |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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| 第37行： | 第39行： | ||
|Jiayao Wu | |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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| 第50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63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74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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| 第85行： | 第93行： | ||
|Dan He | |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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2019年1月3日 (四) 04:50的最后版本
| People | Last Week | This Week | Task Tracking (DeadLine) |
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| Yibo Liu |
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| Xiuqi Jiang |
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| Jiayao Wu |
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| Zhaodi Qi |
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| Jiawei Yu |
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| Yunqi Cai |
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| Dan He |
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| Yang Zhang |
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