| 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
|
- ML-book continue DNN visualization maybe I should find a new tool t-sne is not powerful enough
|
| Yixiang Chen
|
- Joint-training (GMM baseline)
|
|
| Lantian Li
|
- Joint-training on TASLP (DNN i-vector parts). [1]
- Joint-training on SRE and LRE (Neural model is over-fitting...). [2]
|
- Joint-training on TASLP.
- Joint-training on SRE and LRE.
|
| Zhiyuan Tang
|
|
- report for Weekly Reading;
- finish the additinal experiments of joint learning (speech & spk) for taslp (multi-task, ivector as part of input)[3].
|
