“2025-09-29”版本间的差异

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（9位用户的12个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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* Travel to Ruian
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*  Collecting correction for English version (primary AI)
  
 
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第44行： 第45行：
 
|Zhenghai You
 
|Zhenghai You
 
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* Multi-Step Infer （multi-task search）[https://z1et6d3xtb.feishu.cn/docx/LlgjdMYVbocGD1xjkMSc17Ttnke]
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* Huawei 4-mix SS model training
 
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第54行： 第56行：
 
|Junming Yuan
 
|Junming Yuan
 
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* Grade 8 AI practice book(done!)
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* Grade 8 AI practice handbook(done!)
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* SUPERB benchmark(Speech processing Universal Performance Benchmark)
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* Further evaluation of our MT-HuBERT model on other speech downstream tasks.
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** Source Separation downstream task(SI-SDRi at 50K training steps):
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** Based on SUPERB benchmark(Speech processing Universal Performance Benchmark)
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*** MT-HuBERT: 10.77, HuBERT-BASE: 9.84
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*** Firstly focused on Source Separation downstream task(still in training)
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*** Intermediate results(SI-SDRi at 50K training steps): MT-HuBERT: 10.77, HuBERT-BASE: 9.84.
 
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第68行： 第71行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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* AVHuBERT s2s finetune debug
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* had a fever for some days
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* PhD Application
 
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第90行： 第95行：
 
|Pengqi Li
 
|Pengqi Li
 
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* Science popularization activities in Changzhi, Shanxi, and returned to the lab on tomorrow.
 
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第101行： 第106行：
 
|Wan Lin
 
|Wan Lin
 
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* Writing research proposal
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* Some Experiments [https://z1et6d3xtb.feishu.cn/wiki/NJLtw3l1Xi2xQBkUpCbcRic9nOh?from=from_copylink]
 
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第112行： 第118行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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* writing my paper (method and experiments is almost done)
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* job interviews
 
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第184行： 第191行：
 
|Wenqiang Du
 
|Wenqiang Du
 
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* Primary AI practice book(over)
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* Complete the recording of the international version of  AI courses for Jiaoyubu
 
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第195行： 第203行：
 
|Yang Wei
 
|Yang Wei
 
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* Train English MD model based on Whisper
 
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第215行： 第223行：
 
|Qi Qu
 
|Qi Qu
 
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* Elderly alarm customization.
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* SLAM (simultaneous localization & mapping) experiments.
 
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2025年9月29日 (一) 11:14的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Travel to Ruian
  • Collecting correction for English version (primary AI)
Lantian Li
  • Review AI Book — College Edition (12/53).
  • Project matters: HUAWEI SS/AutoBGM; FYT A/V GenreDetect.
  • Prepare materials for my professional title evaluation.
Ying Shi
  • Thesis
  • revise resume
Zhenghai You
  • Multi-Step Infer （multi-task search）[1]
  • Huawei 4-mix SS model training
Junming Yuan
  • Grade 8 AI practice handbook(done!)
  • Further evaluation of our MT-HuBERT model on other speech downstream tasks.
    • Based on SUPERB benchmark(Speech processing Universal Performance Benchmark)
      • Firstly focused on Source Separation downstream task(still in training)
      • Intermediate results(SI-SDRi at 50K training steps): MT-HuBERT: 10.77, HuBERT-BASE: 9.84.
Xiaolou Li
  • AVHuBERT s2s finetune debug
  • had a fever for some days
  • PhD Application
Zehua Liu
Pengqi Li
  • Science popularization activities in Changzhi, Shanxi, and returned to the lab on tomorrow.
Wan Lin
  • Writing research proposal
  • Some Experiments [2]
Tianhao Wang
  • writing my paper (method and experiments is almost done)
  • job interviews
Xiaoxue Luo
  • read some papers on speech separation of unknown number of speakers
  • Apply EDA(encoder-decoder based attractor calculation) method to speech separation
    • Environment Configuration(done)
    • Familiar with the code and make some adjustments to it(in progress)
Junhui Chen
  • LLM:
    • 2 different reflection paper reading
    • Baseline self-reflection metric collection — code completed, data collection in progress.
    • Integrating new reflection methods (e.g. beamsearch-based reflection) into the current pipeline in collaboration with @Zhang Yu — work in progress.
Jiaying Wang
  • construct loudness training data: librimix with different loudness source
  • loudness order exp[3]:
    • chain based structure: 2mix 11.92(150 epoch)
    • convtasnet structure: still training, 60epoch achieve 12.29
  • ctc order exp:
    • only use ctc for order, chain based structure: 10.65
  • a speculation: Compared with semantic information (provided by CTC), acoustic-oriented information may be more suitable as a basis for separation.
  • try to use speaker info as order
Yu Zhang
  • LLM:
    • Baseline self-reflection metric collection — code completed, data collection in progress.
    • Integrating new reflection methods (e.g. beamsearch-based reflection) into the current pipeline in collaboration with @chenjunhui — work in progress.
  • AED:
    • Added humming test and analysis for Huawei.
Wenqiang Du
  • Primary AI practice book(over)
  • Complete the recording of the international version of AI courses for Jiaoyubu
Yang Wei
  • Train English MD model based on Whisper
Yue Gu
  • polish the structure of my thesis and continue find jobs
Qi Qu
  • Elderly alarm customization.
  • SLAM (simultaneous localization & mapping) experiments.
取自“http://index.cslt.org/mediawiki/index.php?title=2025-09-29&oldid=43501”