|
|
第217行: |
第217行: |
| |Yue Gu | | |Yue Gu |
| || | | || |
− | * | + | * writing paper |
| + | * read several accent adaptation papers |
| || | | || |
| * | | * |
People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
Dong Wang
|
- AC-SQL paper for KDD
- Several public talks
- Review for ISCSLP
|
|
|
Lantian Li
|
|
- High school handbook (20/40)
|
|
Ying Shi
|
|
|
|
Zhenghai You
|
- Fix mutil-scale loss bug in Ex-former(u-net)
- Tse Project: The performance of the pre-trained model on 12 spk data is poor
- Writing ICCIP2024 & Complete the experiment
|
|
|
Junming Yuan
|
- Hubert pretraining exp(still have problem)
- pretrain on our libri-keyword dataset(~277h) and finetune on 15-shot GSC dataset with MT
- top-1 acc --> 9.72%, EER --> 49.73%
- pretrained model still have problem(Maybe audio and pseudo-label duration differ too much)
|
|
|
Xiaolou Li
|
- Reproduce Grouping ViT as the modality projection (trouble in inference)
- Some test on different prompt from ASR paper.
- Paper reading (mainly about ASR + LLM and multimodality projection method)
|
|
|
Zehua Liu
|
- CNVSRC 2024 things
- Reading some Speech-separation papper
|
|
|
Pengqi Li
|
- Analysis ongoing for pooling with condition(difficult to explain)
|
|
|
Wan Lin
|
- NS paper: Supplement experimental results and citations
|
|
|
Tianhao Wang
|
- reproducing sound filter (data and code)
- project things
|
|
|
Zhenyu Zhou
|
|
|
|
Junhui Chen
|
- Neural Scoring
- Revising paper
- Supplement experiments(finished)
|
|
|
Jiaying Wang
|
- reproducing Condition chain code
|
|
|
Yu Zhang
|
|
|
|
Wenqiang Du
|
- primary school handbook (35/46)
|
|
|
Yang Wei
|
- Test KWS model with test set v1.0 (result analysis in progress)
|
|
|
Lily
|
- Prepare for high shcool summer trip class(last Sunday)
- Prepare for teacher's course (On this Saturday)
- AIradiance's daily work
|
|
|
Turi
|
|
|
|
Yue Gu
|
- writing paper
- read several accent adaptation papers
|
|
|
Qi Qu
|
- AED:
- Classifier trained on "cries" samples.
- Artificial recall test datasets for "slaps" and "cries".
- KWS:
- Mandarin Chinese 48-word recall test dataset: 10 speakers * 10 repeats expected.
- Misc:
|
|
|