| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- AIGraph Slides Done
- Slides for several presentations
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| Lantian Li
|
- 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
|
- Model adjustment for Huawei project[2][3]
- Data collection for Huawei projects
|
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| Junming Yuan
|
- KWS project code refactoring
- Control FA experiment baseline result[4]
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| Chen Chen
|
- Prepare for CNVSRC2024
- About 50 hours new data
- Paper reading
|
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|
| Xiaolou Li
|
- CNVSRC2024 E-Branchformer test
- better on multi but worse on single
- Paper reading
|
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| Zehua Liu
|
- Crop size Exp
- AKVSR training
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| Pengqi Li
|
- 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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| Tianhao Wang
|
- Neural Scoring: use wespeaker, can't reach the performance of supine [6]
- SpEx+ training ...
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| Zhenyu Zhou
|
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| Junhui Chen
|
- 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
|
- data collection for huawei project
- continue cohort experiment [8]
- reproduced another baseline DPTNet(waiting for test)
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| Yu Zhang
|
- Debugging for evalml (some mismatch in training and testing)
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| Wenqiang Du
|
- 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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| Lily
|
- Prepare for AI Radiance ceremony
|
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| Turi
|
- 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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