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| * Neural scoring with Frequency-channel attention | | * Neural scoring with Frequency-channel attention |
| ** overlap test trial: EER 7.382% -> 7.132% | | ** overlap test trial: EER 7.382% -> 7.132% |
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| * Graduation paper | | * Graduation paper |
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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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- Reproduce different VSR structure [6]
- interCTC, Resnet3D frontend, Branchformer, E-Branchformer
- Paper reading
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- modefy E-Branchformer
- Resnet3D frontend + Branchformer test
- s4 decoder (maybe), mamba paper learning
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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[7] 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 [8]
- 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[9]
- ICASSP2024 report
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Junhui Chen
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- Neural scoring with Frequency-channel attention
- overlap test trial: EER 7.382% -> 7.132%
- Graduation paper
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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[10]
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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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