“2025-12-15”版本间的差异

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(以“{| class="wikitable" !People !! This Week !! Next Week !! Task Tracking (<font color="red">DeadLine</font>) |- |- |Dong Wang || * || * || * |- |- |Lantian Li ||...”为内容创建页面)
 
 
(17位用户的21个中间修订版本未显示)
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|Ying Shi
 
|Ying Shi
 
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* thesis
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* Multi-talker ASR Demo
 
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|Zhenghai You
 
|Zhenghai You
 
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* Support work for Huawei SS project (2/3/4 zh mix)
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* Complete the training of base model and iterative model, and Hubert-base extractor is training
 
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|Junming Yuan
 
|Junming Yuan
 
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* Current experimental progress of MT-HuBERT[https://z1et6d3xtb.feishu.cn/docx/AzyhdbCjyooVKOxLFV3cfY2MnuZ]
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* MT-HuBERT paper EN v0.4(4/7)
 
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|Xiaolou Li
 
|Xiaolou Li
 
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* PhD Application
 
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|Zehua Liu
 
|Zehua Liu
 
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*Add Experiment on my graduation thesis
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*job hunting
 
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|Pengqi Li
 
|Pengqi Li
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* Transfer CAMs methods from the classification task to speaker verification task.
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* Qualitatively and quantitatively measure the reliability of these methods. (FGGB, SSAB, Corr-RISE, SFAM, CAMs)
 
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|Tianhao Wang
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* refine the ChainSep paper and adjust it to overleaf
 
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|Wan Lin
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|Xiaoxue Luo
 
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* Write code to combine SepFormer and EDA method, the model is in training
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* read papers
 
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|Tianhao Wang
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|Junhui Chen
 
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* HUAWEI gradio demo (4/5)
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* Integrate the current metric collection code into GPTSwarm (80%)
 
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|Xiaoxue Luo
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|Jiaying Wang
 
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* content experiments test finish
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* loudness experiments testing
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* spk model code preparing
 
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|Junhui Chen
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|Yu Zhang
 
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* GPU Util: https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh?from=from_copylink
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* LLM: Latent learning simple reverse exp code (90%, lack for metric analysis code and Oracle Retrieval Code)
 
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|Jiaying Wang
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|Wenqiang Du
 
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* Rebuttal the reviewers' comments about high school AI course's draft(80%)
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* Calendar done
 
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第148行: 第168行:
  
 
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|Yu Zhang
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|Yang Wei
 
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* Prepare librispeech MD experiment git repository.
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* Reproduce MD experiment on TIMIT[https://z1et6d3xtb.feishu.cn/docx/Qmvld9Fw1omSrwxI14ccMHZVnYd?from=from_copylink].
 
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|Wenqiang Du
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|Yue Gu
 
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* write my Phd thesis
 
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|Yang Wei
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|Lily
 
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* Check AI handbook (初二下册,高一下册)
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* AIGE Annual Forum(December 19th)
 
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|Yue Gu
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|Bochao Hu
 
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* Phoneme to sentence
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** 0% error, WER: 2.1% | 5% error, WER: 11.0% | 10% error, WER: 32.4% | 20% error, WER: 66.0% | 30% error, WER: 89.3%
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* Video to Phoneme: Change the model architecture to baseline. First stage(<4s) is in training
 
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|Qi Qu
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|Hongcheng Zhang
 
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* construct code for ASU-LLM(10%)
 
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2025年12月15日 (一) 11:39的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
Lantian Li
Ying Shi
  • thesis
  • Multi-talker ASR Demo
Zhenghai You
  • Support work for Huawei SS project (2/3/4 zh mix)
  • Complete the training of base model and iterative model, and Hubert-base extractor is training
Junming Yuan
  • Current experimental progress of MT-HuBERT[1]
  • MT-HuBERT paper EN v0.4(4/7)
Xiaolou Li
  • PhD Application
Zehua Liu
  • Add Experiment on my graduation thesis
  • job hunting
Pengqi Li
  • Transfer CAMs methods from the classification task to speaker verification task.
  • Qualitatively and quantitatively measure the reliability of these methods. (FGGB, SSAB, Corr-RISE, SFAM, CAMs)
Tianhao Wang
  • refine the ChainSep paper and adjust it to overleaf
Xiaoxue Luo
  • Write code to combine SepFormer and EDA method, the model is in training
  • read papers
Junhui Chen
  • HUAWEI gradio demo (4/5)
  • Integrate the current metric collection code into GPTSwarm (80%)
Jiaying Wang
  • content experiments test finish
  • loudness experiments testing
  • spk model code preparing
Yu Zhang
Wenqiang Du
  • Rebuttal the reviewers' comments about high school AI course's draft(80%)
  • Calendar done
Yang Wei
  • Prepare librispeech MD experiment git repository.
  • Reproduce MD experiment on TIMIT[2].
Yue Gu
  • write my Phd thesis
Lily
  • Check AI handbook (初二下册,高一下册)
  • AIGE Annual Forum(December 19th)
Bochao Hu
  • Phoneme to sentence
    • 0% error, WER: 2.1% | 5% error, WER: 11.0% | 10% error, WER: 32.4% | 20% error, WER: 66.0% | 30% error, WER: 89.3%
  • Video to Phoneme: Change the model architecture to baseline. First stage(<4s) is in training
Hongcheng Zhang
  • construct code for ASU-LLM(10%)