| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- NSFC XAI proposal
- AI Graph PPT recheck
- Course preparation
|
|
|
| Lantian Li
|
- GPU status [1]
- Projects (AED delivery, TSE plan)
- ASIP-BUPT (NeuralScoring, CohortTSE)
- Welcome to Rabbit04
- BlockChain Course
|
|
|
| Ying Shi
|
- Finish SPL paper
- Discuss about next DI-TING
- Restart Cohort ASR
- group work
|
|
|
| Zhenghai You
|
- Paper reading report
- Prepare extreme data for Huawei project( Crawling Chinese karaoke song, then mixed with rock, punk music data as TSE task's noise )
|
|
|
| Junming Yuan
|
- Paper reading report prepared
- FA data analysis[2]
- AI Graph slides refinement
- NSFC check
|
|
|
| Chen Chen
|
|
|
|
| Xiaolou Li
|
- Experiment on E-Branchformer and Resnet3D + E-Branchformer(last exp on this)
- Paper Reading
|
|
|
| Zehua Liu
|
- papper reading
- cropsize exp
- AKVSR code（still doing）
|
|
|
| Pengqi Li
|
- ICASSP papers reading[3]
- Start Experiment(PID) on Timit(Extend workshop paper)
|
- Leave of Absence(Family matters)
|
|
| Wan Lin
|
|
|
|
| Tianhao Wang
|
- EA-ASP exps [4]
- target and nontarget training data ratio (1:1 to 2:8)
- totally mix training data
- spex+ code modification
|
|
|
| Zhenyu Zhou
|
|
|
|
| Junhui Chen
|
|
|
|
| Jiaying Wang
|
- cohort gender-aware verification
- need regenerate training, validation and test data
|
|
|
| Yu Zhang
|
- AutoML
- learners: [xgboost lgbm xgb_limitdepth rf]
- use last 30 days metrics to predict the return value
- RL continuous learning related paper reading
|
|
|
| Wenqiang Du
|
- EfficientNet-B6 kws model has been trained[5]
- Large hard negative data collection has been complete 60%
- （about 5000h collect 5000 FA）
|
|
|
| Yang Wei
|
- Evaluate mispronunciation detection system with detection cost function
- Try to estimate best DCF threshold without test set
|
|
|
| Lily
|
- Overview for thesis
- AIgraph100 course material
|
|
|
| Turi
|
- Started ASR Data Collection
- Course work
|
|
|
| Yue Gu
|
- Parallel lattice construction
- Method reproduction, a work in ICASSP2024 related to my contextual ASR
- Paper reading (50%)
|
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