| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- AIGraph slides done
- Check for thermal face recognition paper
- Quick check for Guyue's paper
|
|
|
| Lantian Li
|
- GPU status [1]
- AI graph
- Slides checking (50/50)
- High school handbook (12/40)
|
- High school handbook (20/40)
|
|
| Ying Shi
|
- Finish training U-Net based text-enroll keyword spotting
- continue work on cohort conditional-chain group work
|
|
|
| Zhenghai You
|
- Complete the Reproduce of IRA[2]
- Design a new TSE structure using U-NET and G&L Transformer (idea form sepreformer)
- Write the work content for Huawei's first phase as ICCIP2024
|
|
|
| Junming Yuan
|
- Reimplementation of the Hubert baseline:
- fix some bugs
- the base model for the 1st iteration is finished on hawk02.
- the base model for the 2nd iteration need to migrate to dragon03(in progress)
- Beginner's Guide for pretraining Hubert with fairseq:[3]
|
|
|
| Chen Chen
|
|
|
|
| Xiaolou Li
|
- LRS-30h PALR2 (4 epoch result)
- VSR: 29.74%
- Refinement: 29.45%
- Calibration Test [4]
|
|
|
| Zehua Liu
|
- LRS3-30h： VSP-LLM - cluster（WER : 28.11%） < VSP-LLM (WER : 29.1%)
- LRS3-30h： VSP-LLM - cluster + adaptive_mask（WER : 27.75%） < VSP-LLM (WER : 29.1%)
- LRS3-30h: In-Context-learning (still training)
|
|
|
| Pengqi Li
|
- Trianed a new attention pooling with condition(Analysis ongoing).[5]
|
|
|
| Wan Lin
|
- Neural Scoring
- First draft of paper finished [6]
- Supplement experimental results
|
|
|
| Tianhao Wang
|
- SoundFilter weekly report
|
|
|
| Zhenyu Zhou
|
|
|
|
| Junhui Chen
|
- Neural Scoring:
- Paper Writing (1st Ver. finished with LW)
- Supplement the experiments
|
|
|
| Jiaying Wang
|
- paper reading（report today）
- live broadcast
|
|
|
| Yu Zhang
|
|
|
|
| Wenqiang Du
|
|
|
|
| Yang Wei
|
- AIBabel KWS
- Prepare negative test data (from cn-celeb, aishell-4)
|
|
|
| Lily
|
- Prepare for high shcool summer trip class(last Sunday)
- Accident & get sick
|
|
|
| Turi
|
|
|
|
| Yue Gu
|
- complete and revise the DPR paper
|
|
|
| Qi Qu
|
- AED:
- AudioSet data prepared.
- Positive samples of "cries" collected and to be annotated.
- KWS:
- B6-based service optimized with memory consumption considerably reduced (~600MB v.s. formerly ~2GB).
|
|
|
