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第182行： |
| | |Yu Zhang | | |Yu Zhang |
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| − | * | + | * Financial Backtesting pipline |
| | + | ** remake Stock and Industry return logic |
| | + | ** debug Brinson Analysis result |
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| − | * | + | * Use SAC as a baseline to run through the entire process from training to policy generation to backtesting |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- Primary AI design
- NMI neuralmag paper submitted
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| Lantian Li
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- GPU status [1]
- Projects (POC of Cough/Humming detection, TSE proposal)
- ASIP-BUPT (NeuralScoring, CohortTSE)
- AI Course Polish
- Machine Moving
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| Ying Shi
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| Zhenghai You
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- Checked the code of mini loss[2]
- Test onnx of Huawei project[3]
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| Junming Yuan
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- Experimental report on "learn not to listen" v3 extend test[4]
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| Chen Chen
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- Finished my thesis :)
- Group work [5]
- finish training for most of the structures, but all performs a little worse
- no good news from KD
- good primary experiment result from char as modeling unit, need to check after whole training
- 58 hours for CN-CVS II (too slow)
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- Try some data aug methods for VSR (Crop size)
- Help with entropy analyze of child data
- START ICASSP2024 PAPER READING
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| Xiaolou Li
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| Zehua Liu
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- read papper
- auxiliary loss code
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| Pengqi Li
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- Summary[6] of speech processing XAI for NSFC
- polish, reference, v1(90%)
- Workshop report(video, slide, poster)
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| Wan Lin
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| Tianhao Wang
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- EA-ASP (from SJTU) reproduced successfully [7]
- EA-ASP implement, wespeaker toolkit modification, training pairs construction totally according to the paper
- get the better EER(4.021%) comparing to the paper (5.212%) on Vox1-O-Overlap
- evaluation on our trials (concat and weak_overlap are better, overlap and mix are worse)
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| Zhenyu Zhou
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- Finish NeuralScoring baseline[8]
- ICASSP2024 report
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| Junhui Chen
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| Jiaying Wang
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- HHuawei project:train speakerbeam on -4,4,converge,some bug in test(dataloader)
- cohort mini loss: check code & test
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| Yu Zhang
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- Financial Backtesting pipline
- remake Stock and Industry return logic
- debug Brinson Analysis result
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- Use SAC as a baseline to run through the entire process from training to policy generation to backtesting
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| Wenqiang Du
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| Yang Wei
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- Fix problems about ASR model for mispronunciation detection task
- Prepare the baseline system
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| Lily
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- Data Analysis
- Paper Reading[9]
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| Qi Qu
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- First day
- Dev environment setup
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| Turi
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- Prepared sentences
- Prepared data collection app for release
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