|
|
第29行: |
第29行: |
| |Lantian Li | | |Lantian Li |
| || | | || |
− | * | + | * Push CNCSRC |
| + | * Submit final papers |
| + | * Prepare hard trials paper |
| || | | || |
− | * | + | * Go on hard trials paper |
| || | | || |
| * | | * |
People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
Dong Wang
|
- Reschedule the cycleFlow paper
- Keep on investigation for multi-modality information fusion
|
|
|
Yunqi Cai
|
- Investigate railway Bureau; the practical application scenario of intelligent inspection robot
- Prepare a report for Gusu Lab
|
- keep on intelligent sensor investigation
|
|
Lantian Li
|
- Push CNCSRC
- Submit final papers
- Prepare hard trials paper
|
|
|
Ying Shi
|
- investige forward attention here
|
- continue on forward attention
|
|
Haoran Sun
|
- some experiments on AutoVC pdf
|
- more experiments for cycle loss
|
|
Chen Chen
|
- Experiments on kmeans and use label for clustering
- Experiments on # of phn kinds
- cvss
|
- Check the experimrnt of label clustering
|
|
Pengqi Li
|
- study representation learning(self-supervised learning)
- Using mel-spectrum and standard softmax on small data, models are trained
- Data preprocessing
|
- Visualization on a small models(mel-spectrum & MFCC)
- Implement RELAX
|
|
Weida Liang
|
|
|
|
Zixi Yan
|
- Training supervised speech recognition models using wav2vec features
|
- Experiments with more data sets
|
|
Sirui Li
|
|
|
|
Haoyu Jiang
|
|
|
|
Ruihai Hou
|
- Preproess data for the training of UIS-RNN
- Train the UIS-RNN model on small dataset
|
|
|
Renmiao Chen
|
- Finish MI test.
- Finish CKA test.
|
|