“2019-12-30”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 || * || * || * |- |- |Yunqi Cai...”为内容创建页面)
 
 
(5位用户的6个中间修订版本未显示)
第6行: 第6行:
 
|Dong Wang
 
|Dong Wang
 
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* Investigate more on DNF, by designing the contrastive training. Seems does not work well. More constrained is requested to avoid divergence.
 +
* Investigate the true contribution of DNF. It looks like between/within ratio has the best match with EER.
 +
* Investigate DNF-based PLDA, not successful yet. The performance is not better than cosine.
 
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* Keep on the investigation of DNF contribution.
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* Complete the draft of DNF-based paper to TASLP.
 
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第17行: 第20行:
 
|Yunqi Cai
 
|Yunqi Cai
 
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* traning and test the DNF serials model on ivectors of SRE
 
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*traning and test the DNF serials model on ivectors of LRE
 
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第28行: 第31行:
 
|Zhiyuan Tang
 
|Zhiyuan Tang
 
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* Denoising flow trained with only clean data.
 
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* Denoising test.
 
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第39行: 第42行:
 
|Lantian Li
 
|Lantian Li
 
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* DNF-SRE (standard Kaldi IO)
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* Clean up some tools (merge into Jungle)
 
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* DNF-SRE
 
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第94行: 第98行:
 
|Jiawen Kang
 
|Jiawen Kang
 
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*Merge Ghostvlad codes.
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*Futher experiments about selfattention.
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*X-vectors distribution figures.
 
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*Prepare xvecctors for discriminant flow.
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*Further experiments.
 
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第105行: 第112行:
 
|Ruiqi Liu
 
|Ruiqi Liu
 
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* Finished the self-attention pooling experiments with CN-Celeb and VoxCeleb.
 
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* Finish the last experiments.
 
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2019年12月30日 (一) 01:39的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Investigate more on DNF, by designing the contrastive training. Seems does not work well. More constrained is requested to avoid divergence.
  • Investigate the true contribution of DNF. It looks like between/within ratio has the best match with EER.
  • Investigate DNF-based PLDA, not successful yet. The performance is not better than cosine.
  • Keep on the investigation of DNF contribution.
  • Complete the draft of DNF-based paper to TASLP.
Yunqi Cai
  • traning and test the DNF serials model on ivectors of SRE
  • traning and test the DNF serials model on ivectors of LRE
Zhiyuan Tang
  • Denoising flow trained with only clean data.
  • Denoising test.
Lantian Li
  • DNF-SRE (standard Kaldi IO)
  • Clean up some tools (merge into Jungle)
  • DNF-SRE
Ying Shi
Wenqiang Du
Haoran Sun
Yue Fan
Jiawen Kang
  • Merge Ghostvlad codes.
  • Futher experiments about selfattention.
  • X-vectors distribution figures.
  • Prepare xvecctors for discriminant flow.
  • Further experiments.
Ruiqi Liu
  • Finished the self-attention pooling experiments with CN-Celeb and VoxCeleb.
  • Finish the last experiments.
Sitong Cheng
Zhixin Liu