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| 第34行： |
第34行： |
| | |Ying Shi | | |Ying Shi |
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| − | * | + | * Detect wake-up words from Continuous speech Down |
| | + | * SPL Paper, almost down |
| | + | * [https://z1et6d3xtb.feishu.cn/wiki/DYSjw7LfviU7u1kWbhEcFjE1nld?from=from_copylink Group Work] |
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| | * | | * |
| 第90行： |
第92行： |
| | ** Mamba, icassp2024 | | ** Mamba, icassp2024 |
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| − | * modefy E-Branchformer | + | * modify E-Branchformer |
| | * Resnet3D frontend + Branchformer test | | * Resnet3D frontend + Branchformer test |
| | * s4 decoder (maybe), mamba paper learning | | * s4 decoder (maybe), mamba paper learning |
| 第102行： |
第104行： |
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| | * read papper | | * read papper |
| − | * auxiliary loss code | + | * auxiliary loss code[https://z1et6d3xtb.feishu.cn/docx/ZaTFd3A5EoK982xWBVschloanee?from=from_copylink] |
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| | * | | * |
| 第164行： |
第166行： |
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| | * Neural scoring with Frequency-channel attention | | * Neural scoring with Frequency-channel attention |
| − | ** overlap test trial: EER 7.382% -> 7.132% | + | ** Our overlap test trial: EER 7.382% -> 7.132% |
| − | ||
| + | |
| | * Graduation paper | | * Graduation paper |
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| | + | * |
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| | * | | * |
| 第175行： |
第178行： |
| | |Jiaying Wang | | |Jiaying Wang |
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| − | * HHuawei project:train speakerbeam on -4,4,converge,some bug in test(dataloader) | + | * HHuawei project:train speakerbeam on -4,4,converge,some bug in test |
| | * cohort mini loss: check code & test | | * cohort mini loss: check code & test |
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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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- Detect wake-up words from Continuous speech Down
- SPL Paper, almost down
- Group Work
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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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- modify 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[7]
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| Pengqi Li
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- Summary[8] 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 [9]
- 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[10]
- ICASSP2024 report
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| Junhui Chen
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- Neural scoring with Frequency-channel attention
- Our 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
- 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[11]
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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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