“2022-05-23”版本间的差异

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第29行: 第29行:
 
|Lantian Li
 
|Lantian Li
 
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*
+
* Push CNCSRC (CN-Celeb3)
 +
* Release SegTool v1.0
 +
* Posdoc stuff
 
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*  
+
* Finish PUFA project delivery
 +
* CN-Celeb3
 
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*   
 
*   
第51行: 第54行:
 
|Haoran Sun
 
|Haoran Sun
 
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*  
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* graduation reply
 
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*  
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* subjective evaluation
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* quantitative experiments for speaker embedding
 
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*   
 
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第85行: 第89行:
  
  
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|Weida Liang
 
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|Zixi Yan
 
|Zixi Yan
 
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*
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* Tibetan speech recognition experiment based on WAV2VEC feature(debug)
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* Read paper Improving Speech Recognition for Indic Languages using Language Model
 
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*
第108行: 第104行:
 
|Sirui Li
 
|Sirui Li
 
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*
+
* Train supervised ASR using w2v features
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* Count occurrences of each word
 
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*
+
* Count occurrences of each word
 
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*   
 
*   
第119行: 第116行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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*
+
* Face verification test
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* CNCeleb
 
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*
+
* Go on test
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* CNCeleb
 
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*   
 
*   
第130行: 第129行:
 
|Ruihai Hou
 
|Ruihai Hou
 
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*
+
* concurrent testing of speaker-diarization
 +
* calculate RT of speaker-diarization
 +
* CNCeleb
 
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*  
+
* CNCeleb
 
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*   
 
*   
第141行: 第142行:
 
|Renmiao Chen
 
|Renmiao Chen
 
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*
+
* Course projects
 +
* Homework
 
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*
+
* Course projects
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* Homework
 +
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 +
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|-
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|Wenqiang Du
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* Some project cooperation
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* Some project cooperation
 
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*   
 
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2022年5月30日 (一) 10:14的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • AI-Graph Part3 (1/2) completed
  • Keep on review for interpretation in ASR/SID
  • AI-Graph Part3 (2/2)
  • Keep on review for interpretation in ASR/SID
Yunqi Cai
Lantian Li
  • Push CNCSRC (CN-Celeb3)
  • Release SegTool v1.0
  • Posdoc stuff
  • Finish PUFA project delivery
  • CN-Celeb3
Ying Shi
Haoran Sun
  • graduation reply
  • subjective evaluation
  • quantitative experiments for speaker embedding
Chen Chen
  • Course projects
  • 1of3 website
  • CNCeleb pipeline
  • CNCeleb
  • Course projects
Pengqi Li
  • Some project task
  • PUFA report
  • Finish PUFA report
Zixi Yan
  • Tibetan speech recognition experiment based on WAV2VEC feature(debug)
  • Read paper Improving Speech Recognition for Indic Languages using Language Model
Sirui Li
  • Train supervised ASR using w2v features
  • Count occurrences of each word
  • Count occurrences of each word
Haoyu Jiang
  • Face verification test
  • CNCeleb
  • Go on test
  • CNCeleb
Ruihai Hou
  • concurrent testing of speaker-diarization
  • calculate RT of speaker-diarization
  • CNCeleb
  • CNCeleb
Renmiao Chen
  • Course projects
  • Homework
  • Course projects
  • Homework
Wenqiang Du
  • Some project cooperation
  • Some project cooperation