| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- Review of a few papers from NCMMSC, MDPI etc.
- Review papers regarding AI for Medicine
- Refine "the principle of AI education in primary schools"
- A few public talks
|
|
|
| Lantian Li
|
- GPU status [1]
- Completed all teaching for this semester.
- Projects
- AED -> System integration with Huawei, Bullying patent for FYT
- TSE -> Preparing for the first phase delivery.
- VSR -> 1200h+
- Finance -> Reproducing R^2 SAC, Overview time-series modelling
- Papers
- NeuralScoring -> In progress
- IS24 Camera-ready paper
- CNVSRC 2024 baseline paper
|
|
|
| Ying Shi
|
|
|
|
| Zhenghai You
|
- Start training on complete data for Huawei TSE project
- Change adaptlayer from cancat to FiLm [2]
- Test inference time and SISDR in online model
- Consider a TSE network that combines mixture and enrollment with attractor to extract speaker information
|
|
|
| Junming Yuan
|
- SSL model finetuning analysis v1[3].Need to check.
|
|
|
| Chen Chen
|
- Release UY/CH-CHILD dataset
- help with NCMMSC paper about CNVSRC 2024
- CN-CVS2
- 1200+ hours data, phase 1 finished in June 26th
- hand over the CN-CVS2 website things
|
- ISCSLP paper (7.7 20:00 ddl)
|
|
| Xiaolou Li
|
- LRS2 full test[4]
- Paper reading
|
|
|
| Zehua Liu
|
- NCMMSC papper
- change parameter result seems good ,(but still training)[5]
|
|
|
| Pengqi Li
|
- PhD mid-term assessment
- two NC-papers
|
|
|
| Wan Lin
|
|
|
|
| Tianhao Wang
|
- Neural Scoring exps[6]
- share encoder
- channel attention (similar to EA-ASP, useless)
- early frequency attention (fbank level, training)
|
|
|
| Zhenyu Zhou
|
- Huawei projetc
- Summary of recent experimental results[7]
|
|
|
| Junhui Chen
|
- Neural Scoring supplementary experiments
- Share Encoder NS: NS > Share Encoder NS > EA-ASP (Importance of decoupling)
- Ways of attention (F-bank Enroll-Aware, seems useful)
|
|
|
| Jiaying Wang
|
- debug cohort transformer structure (confused why transformer does not work)
- deeper network: 2 attention head, 8 layer/block, 4 blocks in total(failed)
- use only MF training set (failed)
- use position encoding and transformer block in speechbrain(failed both pit and sisdr loss)
|
|
|
| Yu Zhang
|
- Implement R2SAC
- Retrain Huawei Quantization Model
- Paper reading
|
|
|
| Wenqiang Du
|
- Preparing for the final exam
|
|
|
| Yang Wei
|
- Huilan TTS
- Export ONNX model from original format. Still deal with inferring error.
|
|
|
| Lily
|
- Thesis
- Prepare slides for Xinjiang teacher's course
|
|
|
| Turi
|
- End of semester course project presentations
|
|
|
| Yue Gu
|
|
|
|
| Qi Qu
|
- AED
- Model tested on different data.
- Tried some other models, i.e. Zipformer from sherpa-onnx.
- KWS
- Data collected and processed to account for poor performance.
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