“2022-03-28”版本间的差异

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(7位用户的8个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
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* Interspeech refinement
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* Keyword spotting review
 
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*
+
* Keyword spotting review
 
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*   
第16行: 第17行:
 
|Yunqi Cai
 
|Yunqi Cai
 
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*  
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* Reports writing
 
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第39行: 第40行:
 
|Ying Shi
 
|Ying Shi
 
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*  
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* Continue work on Speech engrave (TXT convolution)
 
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第61行: 第62行:
 
|Chen Chen
 
|Chen Chen
 
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*  
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* Prepare ASR/OCR model for ICPRMSR
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* Reading paper of lip2wav
 
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* Review recent papers about Lip Reading & AVSR
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* Prepare ASR/OCR model for ICPRMSR
 
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第83行: 第86行:
 
|Weida Liang
 
|Weida Liang
 
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*
+
* INTERSPEECH
 
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*
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* code update
 +
* homepage building
 
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*   
 
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第103行: 第107行:
 
|Sirui Li
 
|Sirui Li
 
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*
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* Dictionary generation for true and pseudo-labeled
 
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*
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* Downstream ASR Task
 
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第114行: 第118行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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*
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* Test on SOTA model
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* Learn score normalization
 
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*
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* Go on test
 +
* Test with s-norm
 
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第137行: 第143行:
 
|Renmiao Chen
 
|Renmiao Chen
 
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*  
+
* weighted score fusion
 +
* score-weight score fusion
 +
* SNR-weight score fusion
 
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*  
+
* OCR
 +
* layer-SNR-weight score fusion
 +
* find some reseach about recognition in information incompleteness
 
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2022年3月28日 (一) 11:07的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Interspeech refinement
  • Keyword spotting review
  • Keyword spotting review
Yunqi Cai
  • Reports writing
Lantian Li
  • Push CNCSRC
  • INTERSPEECH 2022
  • Push CNCSRC
  • Spoof overview
  • PUFA project delivery
Ying Shi
  • Continue work on Speech engrave (TXT convolution)
Haoran Sun
Chen Chen
  • Prepare ASR/OCR model for ICPRMSR
  • Reading paper of lip2wav
  • Review recent papers about Lip Reading & AVSR
  • Prepare ASR/OCR model for ICPRMSR
Pengqi Li
  • INTERSPEECH
  • code, homepage for paper
Weida Liang
  • INTERSPEECH
  • code update
  • homepage building
Zixi Yan
  • Cos sim experiment of WAV2VEC feature and MFCC feature
Sirui Li
  • Dictionary generation for true and pseudo-labeled
  • Downstream ASR Task
Haoyu Jiang
  • Test on SOTA model
  • Learn score normalization
  • Go on test
  • Test with s-norm
Ruihai Hou
  • Build experiment environment on the server
  • Extract embeddings of 2793 speakers
Renmiao Chen
  • weighted score fusion
  • score-weight score fusion
  • SNR-weight score fusion
  • OCR
  • layer-SNR-weight score fusion
  • find some reseach about recognition in information incompleteness