“2025-05-26”版本间的差异

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(13位用户的14个中间修订版本未显示)
第9行: 第9行:
 
* Refine NS paper
 
* Refine NS paper
 
* College version of the AI hand book
 
* College version of the AI hand book
 
 
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第20行: 第19行:
 
|Lantian Li
 
|Lantian Li
 
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* BUPT Graduate matters
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* Huawei projects (N&F)
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* Kicking off the translation of ML book
 
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第31行: 第32行:
 
|Ying Shi
 
|Ying Shi
 
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* Prepare some material about the Huang Danian Challenge final report.
 
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第43行: 第44行:
 
|Zhenghai You
 
|Zhenghai You
 
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* Complete the final delivery of Huawei TSE
 
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第65行: 第66行:
 
|Xiaolou Li
 
|Xiaolou Li
 
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* Continue to audit data
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* Reading some paper about SSL
 
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* Finish data audition, and start to organize all 10k h data
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* Pre on this Friday
 
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第76行: 第79行:
 
|Zehua Liu
 
|Zehua Liu
 
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*Data Audit and paper revise
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*Reading paper about Qwen2.5-omni and maybe apply VTS to this model
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*Data augmentation for AlignVSR
 
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第87行: 第92行:
 
|Pengqi Li
 
|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".
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* 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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第98行: 第104行:
 
|Wan Lin
 
|Wan Lin
 
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* Paper reading, Friday report
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* Doing some test
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* Revised paper
 
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第109行: 第117行:
 
|Tianhao Wang
 
|Tianhao Wang
 
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* leave absence
 
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第120行: 第128行:
 
|Xiaoxue Luo
 
|Xiaoxue Luo
 
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*  
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* prepare Huawei project meeting with tianhao
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* the English version of the AI book
 
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第142行: 第151行:
 
|Junhui Chen
 
|Junhui Chen
 
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* reading paper
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* check NS code, modify and supplement exp results
 
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第153行: 第163行:
 
|Jiaying Wang
 
|Jiaying Wang
 
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* train pure asr system use clean wsj0
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** 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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第188行: 第203行:
 
|Yang Wei
 
|Yang Wei
 
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* Finish AIbabel online KWS model encryption.
 
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第198行: 第213行:
 
|Turi
 
|Turi
 
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* Modified and submitted the final thesis.
 
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第215行: 第230行:
 
|Qi Qu
 
|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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2025年5月26日 (一) 10:52的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Two days of teaching, two days of training
  • Refine NS paper
  • College version of the AI hand book
Lantian Li
  • BUPT Graduate matters
  • Huawei projects (N&F)
  • Kicking off the translation of ML book
Ying Shi
  • Prepare some material about the Huang Danian Challenge final report.
Zhenghai You
  • Complete the final delivery of Huawei TSE
Junming Yuan
  • Find bug and revise my ASR code.
  • Review Middle-school AI practice handbook(4).
Xiaolou Li
  • Continue to audit data
  • Reading some paper about SSL
  • Finish data audition, and start to organize all 10k h data
  • Pre on this Friday
Zehua Liu
  • Data Audit and paper revise
  • Reading paper about Qwen2.5-omni and maybe apply VTS to this model
  • Data augmentation for AlignVSR
Pengqi Li
  • 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.
  • Summarize the work that has been completed and review similar papers.
Wan Lin
  • Paper reading, Friday report
  • Doing some test
  • Revised paper
Tianhao Wang
  • leave absence
Xiaoxue Luo
  • prepare Huawei project meeting with tianhao
  • the English version of the AI book
Zhenyu Zhou
Junhui Chen
  • reading paper
  • check NS code, modify and supplement exp results
Jiaying Wang
  • 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
Yu Zhang
  • Profit analysis about Multi Agent System
  • Reflection time range experiment
  • Some Data analysis task in RoyalFlush (external)
Wenqiang Du
  • New KWS model for AIbabel(30 words and speech enroll)
Yang Wei
  • Finish AIbabel online KWS model encryption.
Turi
  • Modified and submitted the final thesis.
Yue Gu
  • complete the introduction, method and experimental setup, result is in progress
Qi Qu
  • Text-enroll KWS models routine work: finding ideal thresholds (word list = Mandarin Chinese 200 words, models = [dist-20250310, dist-20250520]).