|
|
第35行: |
第35行: |
| |Ying Shi | | |Ying Shi |
| || | | || |
− | * | + | * DI-TING structure verify |
− | || | + | || |
| * | | * |
| || | | || |
People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
Dong Wang
|
- Presentation for several public AI promotion
- Primary AI, Grade 3 (1), 8 chapters done
- Some review on linguistic literature about perception uncertainty in pronunciation assessment
- New form of text enrollment and speech fine-tuning to account for accent-based KWS.
|
|
|
Lantian Li
|
- GPU status [1]
- Projects (AED, TSE)
- ASIP-BUPT (NeuralScoring, CohortSS)
- BlockChain Courses
|
|
|
Ying Shi
|
|
|
|
Zhenghai You
|
|
|
|
Junming Yuan
|
- AI Graph slides refinement
- IS24 rebuttal
- Control FA experiment baseline result[2]
|
|
|
Chen Chen
|
- prepare CNVSRC2024 Baseline system
- vii group [3]
|
|
|
Xiaolou Li
|
|
|
|
Zehua Liu
|
|
|
|
Pengqi Li
|
|
- Read&Summary SA-XAI workshop(ICASSP) papers
- Experiment(PID) on Timit(Extend workshop paper)
|
|
Wan Lin
|
- Pre & QA for graduation paper
- Neural Scoring [4]
|
|
|
Tianhao Wang
|
|
|
|
Zhenyu Zhou
|
- Paper reading
- IS24 rebuttal
|
|
|
Junhui Chen
|
- Graduation paper
- Neural Scoring: chunk 2s->4s, NS is better than EA-ASP
|
- Try to use large pretrain model as test utt encoder(wavLM, wav2vec2, etc.)
|
|
Jiaying Wang
|
|
|
|
Yu Zhang
|
- AutoML:
- switched from FLAML to EVALML as it provided a tool chain better suited to our tasks
|
|
|
Wenqiang Du
|
- Hard negative training,FA data is ready,prepare to train the model
-
|
|
|
Yang Wei
|
|
|
|
Lily
|
|
|
|
Turi
|
- Data collection
- Course work & paper reading
|
|
|
Yue Gu
|
- Semantic paraformer model reconstruction
- Interspeech rebuttal
|
|
|
Qi Qu
|
|
|
|