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| | |Yu Zhang | | |Yu Zhang |
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| − | * | + | * Multi Agent System |
| | + | ** debug about new long-term short-term trade policy |
| | + | * Huawei AED |
| | + | ** new dataset training (77% from Audio Set, 33% from Huawei) and some bad case study |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- AI handbook college version
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| Lantian Li
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| Ying Shi
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- Huawei project cooperation
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| Zhenghai You
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- Training second iteration TSE model for Huawei project ( eol 0db SI-SDR （once:6.963）-> (twice:8.428))[1]
- Check the breakdown of the host to China Unicom
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| Junming Yuan
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- MT-HuBERT paper-CN-v0.1(Done)
- some AI handbook works(checking & revisions) with Brother Qiang
- some AI practice handbook works
- Review primary school PPT
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| Xiaolou Li
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| Zehua Liu
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- Paper Reading on last Friday
- Reproducing Accurately Lip2Speech paper，maybe get some Result this week.
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| Pengqi Li
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- Urgent tasks with Qiang Brother
- Handbook checking and revisions, PPT development
- Modified the paper for "Design course"
- Courses and report(Tuesday, Saturday, Today)
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| Wan Lin
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- Ablation experiments [2]
- Experiments for diff. Transformer layers
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| Tianhao Wang
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- Huawei project things
- test report
- vggsound 44 classes model training
- Huawei interview
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| Xiaoxue Luo
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- Sound separation
- familiar with the code of our model
- check and revise the AI handbooks
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| Zhenyu Zhou
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| Junhui Chen
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- finished diarization test in vox-e (result is normal)
- read paper
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| Jiaying Wang
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- use Whisper replace the CTC calculation module: reading paper and preparing code.
- modify the bp strategy of the current CTC loss.
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| Yu Zhang
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- Multi Agent System
- debug about new long-term short-term trade policy
- Huawei AED
- new dataset training (77% from Audio Set, 33% from Huawei) and some bad case study
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| Wenqiang Du
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| Yang Wei
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| Turi
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| Yue Gu
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- almost finish 5 speakers'exps，plan to write the paper
- plan to give the presentation after accomplishing the introduction
- proofread the AI handbooks
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| Qi Qu
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- NPU (MR536) models benchmark regarding speed [3].
- KWS models for Chaoshan dialect released.
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