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| 第9行： |
第9行： |
| | |Hang Luo | | |Hang Luo |
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| − | * | + | * Know the source code of joint training. |
| | + | * Experiments on joint training, change the receive computation blocks and try non-symmetric structure.The result expected on this Thursday. |
| | || | | || |
| − | * | + | * Find paper about joint training to read. |
| − | |- | + | * Try new experiments according to last two experiments. |
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| Date |
People |
Last Week |
This Week
|
| 2016.10.31
|
Hang Luo
|
- Know the source code of joint training.
- Experiments on joint training, change the receive computation blocks and try non-symmetric structure.The result expected on this Thursday.
|
- Find paper about joint training to read.
- Try new experiments according to last two experiments.
|
| Ying Shi
|
- DNN and TDNN visualization;CNN baseline(th30) new model DNN+lstm(th30);ML-book
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- ML-book continue DNN visualization maybe I should find a new tool t-sne is not powerful enough
|
| Yixiang Chen
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- Joint-training (GMM baseline)
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| Lantian Li
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- Joint-training on TASLP (DNN i-vector parts). [1]
- Joint-training on SRE and LRE (Neural model is over-fitting...). [2]
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- Joint-training on TASLP.
- Joint-training on SRE and LRE.
|
| Zhiyuan Tang
|
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- report for Weekly Reading;
- finish the additinal experiments of joint learning (speech & spk) for taslp (multi-task, ivector as part of input)[3].
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