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| （某位用户的一个中间修订版本未显示） |
| 第119行： |
第119行： |
| | |Wan Lin | | |Wan Lin |
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| − | * | + | * Neural Scoring |
| | + | ** EAASP in Sunine (training) |
| | + | ** Adjust BCE loss |
| | + | * Revise graduation paper |
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| | * | | * |
| 第130行： |
第133行： |
| | |Tianhao Wang | | |Tianhao Wang |
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| − | * Neural Scoring: use wespeaker, can't reach the performance of supine [https://z1et6d3xtb.feishu.cn/docx/BywjdkGvNou12sxQ4dAcxYa9noh] | + | * Neural Scoring: use wespeaker, can't reach the performance of sunine [https://z1et6d3xtb.feishu.cn/docx/BywjdkGvNou12sxQ4dAcxYa9noh] |
| | * SpEx+ training ... | | * SpEx+ training ... |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- AIGraph Slides Done
- Slides for several presentations
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| Lantian Li
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- GPU status [1]
- Projects (AED -> MobileNet, TSE -> Data/Exp)
- ASIP-BUPT (NeuralScoring, CohortSS)
- IS rebuttal
- Rabbit05
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| Ying Shi
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| Zhenghai You
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- Model adjustment for Huawei project[2][3]
- Data collection for Huawei projects
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| Junming Yuan
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- KWS project code refactoring
- Control FA experiment baseline result[4]
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| Chen Chen
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- Prepare for CNVSRC2024
- About 50 hours new data
- Paper reading
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| Xiaolou Li
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- CNVSRC2024 E-Branchformer test
- better on multi but worse on single
- Paper reading
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| Zehua Liu
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- Crop size Exp
- AKVSR training
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| Pengqi Li
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- Extend Experiment on Timit[5]
- Training and analysis: Assume the models has content bias(Unreliable)
- Try to use larger data training to resist this bias.
- Statistics di-phone On Audio-Mnist
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| Wan Lin
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- Neural Scoring
- EAASP in Sunine (training)
- Adjust BCE loss
- Revise graduation paper
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| Tianhao Wang
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- Neural Scoring: use wespeaker, can't reach the performance of sunine [6]
- SpEx+ training ...
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| Zhenyu Zhou
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| Junhui Chen
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- Graduation paper
- Neural Scoring: use large pretrain model(wav2vec2.0) as test encoder.
- seems useless.(Mix trial EER: 9%)
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| Jiaying Wang
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- data collection for huawei project
- continue cohort experiment [8]
- reproduced another baseline DPTNet(waiting for test)
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| Yu Zhang
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- Debugging for evalml (some mismatch in training and testing)
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| Wenqiang Du
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- add apeed perturb、larg negative data、human voice interference to update kws model(completed)
- Some tests have not completed
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| Yang Wei
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- Double check reliability of the baseline model for children MDD challenge
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| Lily
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- Prepare for AI Radiance ceremony
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| Turi
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- Data collection
- 23K so far
- Downloaded the data and randomly checking some audios for each users
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| Yue Gu
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| Qi Qu
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