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| 第30行： |
第30行： |
| | |Yixiang Chen | | |Yixiang Chen |
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| − | * read paper and learning joint learning configuration | + | * Read paper and learning joint learning configuration |
| | + | * Write the ML-book. |
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| − | * complete ML-book | + | * Complete ML-book. |
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| Date |
People |
Last Week |
This Week
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| 2016.11.07
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Hang Luo
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- make a report of 2 Inter Speech papers
- run joint training experiments and the result is [1]
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- read papers about highway connection and multi-task.
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| Ying Shi
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- paper reading kazak speech recognition data prep
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- baseline of kazak speech recoginition
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| Yixiang Chen
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- Read paper and learning joint learning configuration
- Write the ML-book.
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| Lantian Li
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- Joint-training on TASLP (speaker parts). [2]
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- Complete the additional experiments on TASLP-speaker parts
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| Zhiyuan Tang
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- almost finished the additinal experiments of joint learning (speech & spk) for taslp (multi-task, ivector as part of input)[3].
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- report for Weekly Reading;
- joint training for bilingual.
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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). [4]
- Joint-training on SRE and LRE (Neural model is over-fitting...). [5]
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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)[6].
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