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| （2位用户的2个中间修订版本未显示） |
| 第66行： |
第66行： |
| | |Xiaolou Li | | |Xiaolou Li |
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| − | * | + | * Continue to audit data |
| | + | * Reading some paper about SSL |
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| − | * | + | * Finish data audition, and start to organize all 10k h data |
| | + | * Pre on this Friday |
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| | * | | * |
| 第102行： |
第104行： |
| | |Wan Lin | | |Wan Lin |
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| − | * | + | * Paper reading, Friday report |
| | + | * Doing some test |
| | + | * Revised paper |
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| | * | | * |
| 第209行： |
第213行： |
| | |Turi | | |Turi |
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| − | * | + | * Modified and submitted the final thesis. |
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| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- Two days of teaching, two days of training
- Refine NS paper
- College version of the AI hand book
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| Lantian Li
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- BUPT Graduate matters
- Huawei projects (N&F)
- Kicking off the translation of ML book
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| Ying Shi
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- Prepare some material about the Huang Danian Challenge final report.
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| Zhenghai You
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- Complete the final delivery of Huawei TSE
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| Junming Yuan
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- Find bug and revise my ASR code.
- Review Middle-school AI practice handbook(4).
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| Xiaolou Li
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- Continue to audit data
- Reading some paper about SSL
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- Finish data audition, and start to organize all 10k h data
- Pre on this Friday
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| Zehua Liu
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- Data Audit and paper revise
- Reading paper about Qwen2.5-omni and maybe apply VTS to this model
- Data augmentation for AlignVSR
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| Pengqi Li
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- Research progress: A large number of experiments and visualizations, but there is still confusion in "How to display the explanation".
- Teaching work: Prepare for the AI course at Tsinghua middle School and assist with the graduation ceremony.
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- Summarize the work that has been completed and review similar papers.
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| Wan Lin
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- Paper reading, Friday report
- Doing some test
- Revised paper
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| Tianhao Wang
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| Xiaoxue Luo
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- prepare Huawei project meeting with tianhao
- the English version of the AI book
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| Zhenyu Zhou
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| Junhui Chen
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- reading paper
- check NS code, modify and supplement exp results
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| Jiaying Wang
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- train pure asr system use clean wsj0
- loss setting and data: remove zero_infinity parameter, use speech longer than 6s
- training: loss can converge at under 20(reasonable), LER 45%(higher than expectation)
- plan: change cnn settings, explore whether the performance is related to word length
- HongYan competition slides modification
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| Yu Zhang
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- Profit analysis about Multi Agent System
- Reflection time range experiment
- Some Data analysis task in RoyalFlush (external)
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| Wenqiang Du
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- New KWS model for AIbabel(30 words and speech enroll)
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| Yang Wei
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- Finish AIbabel online KWS model encryption.
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| Turi
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- Modified and submitted the final thesis.
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| Yue Gu
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- complete the introduction, method and experimental setup, result is in progress
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| Qi Qu
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- Text-enroll KWS models routine work: finding ideal thresholds (word list = Mandarin Chinese 200 words, models = [dist-20250310, dist-20250520]).
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