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第226行： |
| | |Qi Qu | | |Qi Qu |
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| − | * | + | * 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: |
| | + | ** Live talk preparation. |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- AC-SQL paper for KDD
- Several public talks
- Review for ISCSLP
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| Lantian Li
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- High school handbook (20/40)
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| Ying Shi
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| Zhenghai You
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- 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
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| Junming Yuan
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- 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)
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| Xiaolou Li
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- 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)
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| Zehua Liu
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- CNVSRC 2024 things
- Reading some Speech-separation papper
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| Pengqi Li
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- Analysis ongoing for pooling with condition(difficult to explain)
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| Wan Lin
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- NS paper: Supplement experimental results and citations
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| Tianhao Wang
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- reproducing sound filter (data and code)
- project things
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| Zhenyu Zhou
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| Junhui Chen
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- Neural Scoring
- Revising paper
- Supplement experiments(finished)
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| Jiaying Wang
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- reproducing Condition chain code
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| Yu Zhang
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| Wenqiang Du
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- primary school handbook (35/46)
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| Yang Wei
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| Lily
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- Prepare for high shcool summer trip class(last Sunday)
- Prepare for teacher's course （On this Saturday）
- AIradiance's daily work
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| Turi
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| Yue Gu
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| Qi Qu
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- 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:
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