“2026-05-18”版本间的差异

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(10位用户的10个中间修订版本未显示)
第6行: 第6行:
 
|Dong Wang
 
|Dong Wang
 
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* Revise AI textbook for primary school (3/4)
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第28行: 第32行:
 
|Wenqiang Du
 
|Wenqiang Du
 
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* Huawen separation project
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** speech sep:Huawei chip don't support Memba module computation.so replace it with  LSTM .
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** audio sep: vocal and accoompainment separation.
 
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第39行: 第45行:
 
|Yang Wei
 
|Yang Wei
 
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* On leave.
 
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第72行: 第78行:
 
|Lily
 
|Lily
 
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* AIGE2026
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* German delegation
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* Routine AIGE tasks
 
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第83行: 第91行:
 
|Pengqi Li
 
|Pengqi Li
 
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* Completed the draft of the SV-XAI paper
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* Arranged the framework of the phd thesis.
 
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第95行: 第104行:
 
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* collating and read some ICASSP papers
 
* collating and read some ICASSP papers
* AI Primary School PPT for AI (5/44)
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* AI Primary School English PPT for AI radiance(5/44)
 
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第106行: 第115行:
 
|Yu Zhang
 
|Yu Zhang
 
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* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
 
* Check MLA book code and translate (sec 1-6)
 
* Check MLA book code and translate (sec 1-6)
 
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第117行: 第127行:
 
|Junhui Chen
 
|Junhui Chen
 
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* Check MLA book code and translate
 
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第140行: 第150行:
 
|Bochao Hu
 
|Bochao Hu
 
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*  
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* topic-based vsr-llm:
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** build topic-category-keyword dataset structure
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** to verify peripheral info is useful for other llm(ablation): FT qwen3-VL-8B, qwen3.5-9B(in training)
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* cncvs3: FT avhubert + bi-trans/ctc in cncvs+cnvsrc
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** single cer: 44%(24baseline: 41%), multi cer: 48%(24baseline: 52%)
 
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第151行: 第165行:
 
|Hongcheng Zhang
 
|Hongcheng Zhang
 
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*   
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Fine-tuning the FineLAP didn't work,trying to adopt data augement & change train loss
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*  read some paper about Contrastive Learning
 
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第174行: 第189行:
 
|Ge Gao
 
|Ge Gao
 
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*prepare for graduation thesis defense
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*organize audio separation data
 
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2026年5月18日 (一) 11:00的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Revise AI textbook for primary school (3/4)


Lantian Li
Wenqiang Du
  • Huawen separation project
    • speech sep:Huawei chip don't support Memba module computation.so replace it with LSTM .
    • audio sep: vocal and accoompainment separation.
Yang Wei
  • On leave.
Ying Shi
Yue Gu
  • continue revise the Phd thesis
Lily
  • AIGE2026
  • German delegation
  • Routine AIGE tasks
Pengqi Li
  • Completed the draft of the SV-XAI paper
  • Arranged the framework of the phd thesis.
Junming Yuan
  • collating and read some ICASSP papers
  • AI Primary School English PPT for AI radiance(5/44)
Yu Zhang
  • GPU Util: [1]
  • Check MLA book code and translate (sec 1-6)
Junhui Chen
  • Check MLA book code and translate
Xiaoxue Luo
  • USS-tda experiments[2]
  • paper writing(method section done)
Bochao Hu
  • topic-based vsr-llm:
    • build topic-category-keyword dataset structure
    • to verify peripheral info is useful for other llm(ablation): FT qwen3-VL-8B, qwen3.5-9B(in training)
  • cncvs3: FT avhubert + bi-trans/ctc in cncvs+cnvsrc
    • single cer: 44%(24baseline: 41%), multi cer: 48%(24baseline: 52%)
Hongcheng Zhang
  • Fine-tuning the FineLAP didn't work,trying to adopt data augement & change train loss
  • read some paper about Contrastive Learning
Weiman Sun
  • Read some papers about Acoustic Synthesis and Editing.
  • Completed my graduation thesis
Ge Gao
  • prepare for graduation thesis defense
  • organize audio separation data
Shuailong Li
  • Finished the thesis defense draft
  • Look at the TDA code