| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
|
|
|
| Lantian Li
|
|
|
|
| Ying Shi
|
- Compare Ascend and Nvidia
- Performance: Clean ASR task 20epochs WER 6.91% : 7.02% (Ascend vs Nvidia)
- Speed: Nvidia is one time faster than Ascend
- Start think about my thesis
|
|
|
| Zhenghai You
|
|
|
|
| Junming Yuan
|
- Pretraining work:
- MT-HuBERT & Cocktail-HuBERT will be finished next week.
- Get a set of comparable finetuning results(15/5/3-shot) for each pretrain model at the 400K training step.[1]
- Check and add reference for AI junior high school handbook(1/2).(Done)
|
|
|
| Xiaolou Li
|
|
|
|
| Zehua Liu
|
|
|
|
| Pengqi Li
|
- Prepare the AI course for Tsinghua University Junior High School.
- Add references to the handbook(junior high school version 1/2)(Done).
|
|
|
| Wan Lin
|
|
|
|
| Tianhao Wang
|
|
|
|
| Xiaoxue Luo
|
|
|
|
| Zhenyu Zhou
|
|
|
|
| Junhui Chen
|
|
|
|
| Jiaying Wang
|
|
|
|
| Yu Zhang
|
|
|
|
| Wenqiang Du
|
- Check Primary handbook V3.0（Done）
|
|
|
| Yang Wei
|
|
|
|
| Turi
|
|
|
|
| Yue Gu
|
- a 0.4% CER reduction has achieved for one spk, but no improvement was discovered on other spks. I'm still do some exps.
- restart the synthetic-data related exps, try to fill the gap between synthetic data and real data on the output distribution of model.
|
|
|
| Qi Qu
|
- Technical investigation on Visual Event Detection.
- Experiment on annotating and auditing audio with Audio LLM: insufficient VRAM; poor I/O in CPU/GPU hybrid mode.
|
|
|
