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| 第30行： |
第30行： |
| | |Yixiang Chen | | |Yixiang Chen |
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| − | * Because of illness only wrote book and read paper | + | * read paper and learning joint learning configuration |
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| − | * In order to improve the replay task to Modify the MFCC calculation | + | * complete ML-book |
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| Date |
People |
Last Week |
This Week
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| 2016.10.31
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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.
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- Find paper about joint training to read.
- Try new experiments according to last two experiments.
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| Ying Shi
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- DNN and TDNN visualization;CNN baseline(th30) new model DNN+lstm(th30);ML-book slide
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- ML-book continue DNN visualization maybe I should find a new tool t-sne is not powerful enough
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| 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). [3]
- Joint-training on SRE and LRE (Neural model is over-fitting...). [4]
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- Joint-training on TASLP.
- Joint-training on SRE and LRE.
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| 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)[5].
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