“2025-10-27”版本间的差异

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（14位用户的16个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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* AI handbook for primary schools, 4th grad.
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* Talk in middle school of Renmin Middle School.
  
 
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第18行： 第20行：
 
|Lantian Li
 
|Lantian Li
 
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* Review AI Book – College Edition (52/53).
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* Organize teaching course materials.
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* Guide BUPT-STU's proposal and mid-term reports.
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* Project: HUAWEI Phase I Delivery Report and FENYINTA AVSD Schedule
 
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* Proofread my MLA Book.
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* Review AI Book – High School Edition.
 
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第29行： 第35行：
 
|Ying Shi
 
|Ying Shi
 
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* prepare for interview
 
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第64行： 第70行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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* Mid-term framework and report
 
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第75行： 第81行：
 
|Zehua Liu
 
|Zehua Liu
 
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*Mid-term framework and report
 
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第100行： 第106行：
 
|Wan Lin
 
|Wan Lin
 
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* Phd application
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* MD task
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** Reproduce previous framework in shiyin's code: work normally
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** Prepare for similar phoneme pronunciation replacement
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* NC's report
 
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第111行： 第121行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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* mid-term framework & report
 
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第122行： 第132行：
 
|Xiaoxue Luo
 
|Xiaoxue Luo
 
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* train of attractor-based speech separation
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** the training loss is normal, but the training is too slow. I plan to change the current code from Chainer version to PyTorch version
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* Proposal framework and report
 
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第135行： 第147行：
 
* LLM:  
 
* LLM:  
 
** finish Baseline & Reflexion metric collection (without analysis yet)
 
** finish Baseline & Reflexion metric collection (without analysis yet)
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** continue reading papers from COLM25 & NIPS25 (9/26)
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** continue reading papers from COLM & NIPS 2025 (9/26)
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** proposal discussing
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** proposal discussing with @ZhangYu
 
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第147行： 第159行：
 
|Jiaying Wang
 
|Jiaying Wang
 
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* A Loudness-Perceptual-Biased Speech Separation Method paper modification
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* mid-term report
 
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第175行： 第188行：
 
|Wenqiang Du
 
|Wenqiang Du
 
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* Check PPT for primary/middle/high school
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* Writing project documents with Weiman Sun
 
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第186行： 第200行：
 
|Yang Wei
 
|Yang Wei
 
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* Reproduce shiying's experiment on LibriSpeech (train/test: random data aug; ROC AUC 0.99)
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* Training with other data aug method: replace a word with similar pronunciation from lexicon. (under training)
 
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第197行： 第212行：
 
|Yue Gu
 
|Yue Gu
 
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* job hunting and Phd thesis
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* Mispronunciation task: 1 use ChatGPT to generate the negtive samples with similar pronunciation, 2 compute the similar matrix between speech embeddings and phone embeddings, then conduct dynamic programming algorithm on it to find the maximum cumulative-similarity path. The mispronunciations will corresponding to a lower similar scores.
 
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第206行： 第222行：
 
|Qi Qu
 
|Qi Qu
 
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* Debugging for elderly alarm customization: possible heap corruption.
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* Experiments w/ RKNN toolkit.
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|Lily
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* Paper reading
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* Check AI textbook 2nd semester, primary school version (3 grad)
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* AIGE & AIRadiance dailywork
 
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2025年10月27日 (一) 10:57的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • AI handbook for primary schools, 4th grad.
  • Talk in middle school of Renmin Middle School.
Lantian Li
  • Review AI Book – College Edition (52/53).
  • Organize teaching course materials.
  • Guide BUPT-STU's proposal and mid-term reports.
  • Project: HUAWEI Phase I Delivery Report and FENYINTA AVSD Schedule
  • Proofread my MLA Book.
  • Review AI Book – High School Edition.
Ying Shi
  • prepare for interview
Zhenghai You
  • Midreport
  • APSIPA 2025
Junming Yuan
  • check the resources for the middle-school AI course(16/20)
  • paper reading
Xiaolou Li
  • Mid-term framework and report
Zehua Liu
  • Mid-term framework and report
Pengqi Li
  • Conduct supplementary experiments and write the paper
  • AI course of Tsinghua University Middle School
  • Review the practical manual(v2) again（Liuzhou high school and Xian Gongshang）. I think is good enough.
  • Check the PPT(5/10)
  • Paper(v1)
Wan Lin
  • Phd application
  • MD task
    • Reproduce previous framework in shiyin's code: work normally
    • Prepare for similar phoneme pronunciation replacement
  • NC's report
Tianhao Wang
  • mid-term framework & report
Xiaoxue Luo
  • train of attractor-based speech separation
    • the training loss is normal, but the training is too slow. I plan to change the current code from Chainer version to PyTorch version
  • Proposal framework and report
Junhui Chen
  • LLM:
    • finish Baseline & Reflexion metric collection (without analysis yet)
    • continue reading papers from COLM & NIPS 2025 (9/26)
    • proposal discussing with @ZhangYu
Jiaying Wang
  • A Loudness-Perceptual-Biased Speech Separation Method paper modification
  • mid-term report
Yu Zhang
  • AED: add provided VPU hard case for training
    • With a 2-second window length during training and testing, "WYL-type cough" can be effectively solved;
    • With a 0.6-second window length, adding new training data yields only a minor improvement.
  • LLM:
    • finish Baseline & Reflexion metric collection (without analysis yet)
    • proposal discussing with @chenjunhui
  • AI2S webset deploy
Wenqiang Du
  • Check PPT for primary/middle/high school
  • Writing project documents with Weiman Sun
Yang Wei
  • Reproduce shiying's experiment on LibriSpeech (train/test: random data aug; ROC AUC 0.99)
  • Training with other data aug method: replace a word with similar pronunciation from lexicon. (under training)
Yue Gu
  • job hunting and Phd thesis
  • Mispronunciation task: 1 use ChatGPT to generate the negtive samples with similar pronunciation, 2 compute the similar matrix between speech embeddings and phone embeddings, then conduct dynamic programming algorithm on it to find the maximum cumulative-similarity path. The mispronunciations will corresponding to a lower similar scores.
Qi Qu
  • Debugging for elderly alarm customization: possible heap corruption.
  • Experiments w/ RKNN toolkit.
Lily
  • Paper reading
  • Check AI textbook 2nd semester, primary school version (3 grad)
  • AIGE & AIRadiance dailywork
取自“http://index.cslt.org/mediawiki/index.php?title=2025-10-27&oldid=43566”