“2022-07-25”版本间的差异

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(6位用户的10个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
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* AI-graph online resource
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* Submit PAMI paper
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* Reformate hard-trials paper
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* Formate CNSRC paper
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第16行: 第20行:
 
|Lantian Li
 
|Lantian Li
 
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*Paper on hard trials
 
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第27行: 第31行:
 
|Ying Shi
 
|Ying Shi
 
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*  
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* coding
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* aishell course video
 
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* finish coding
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* transformer keyword spotting baseline
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* instance keyword baseline
 
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第63行: 第70行:
 
|Zixi Yan
 
|Zixi Yan
 
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* Read SSAST: Self-Supervised Audio Spectrogram Transformer
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* Wav2vec multi-layer feature combination research and system design
 
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第73行: 第81行:
 
|Sirui Li
 
|Sirui Li
 
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*  
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* sv task: use wav2vec hubert mfcc feature
 
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* paper
 
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第84行: 第92行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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*
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* Tests of InsightFace
 
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* Solve face detection model
 
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第106行: 第114行:
 
|Renmiao Chen
 
|Renmiao Chen
 
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* Determine our plan
 
* Finish audio_drived_data_collector version 0.1
 
* Finish audio_drived_data_collector version 0.1
 
* Anaylze some example
 
* Anaylze some example
* design strategies for collection
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* Design strategies for collection
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* [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d8/220725-Audio_driven%E5%88%9D%E6%AD%A5%E6%83%B3%E6%B3%95.pdf conclusion & preliminary ideas]
 
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* Finish video-drived collection data collector
 
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第128行: 第138行:
 
|Wan Lin
 
|Wan Lin
 
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*  
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* Test the method mentioned in the last report
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* Papers on noise filtering
 
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*  
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* Find ways to improve model adaptability
 
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2022年7月25日 (一) 10:56的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • AI-graph online resource
  • Submit PAMI paper
  • Reformate hard-trials paper
  • Formate CNSRC paper
Lantian Li
  • Paper on hard trials
Ying Shi
  • coding
  • aishell course video
  • finish coding
  • transformer keyword spotting baseline
  • instance keyword baseline
Chen Chen
  • doc
  • Finish data_collector version 0.1
  • Processed two mini batch
  • Manually evaluate generated videos and finetune data_collector
Pengqi Li
  • study some post-hoc method
  • review and summarize
Zixi Yan
  • Read SSAST: Self-Supervised Audio Spectrogram Transformer
  • Wav2vec multi-layer feature combination research and system design
Sirui Li
  • sv task: use wav2vec hubert mfcc feature
  • paper
Haoyu Jiang
  • Tests of InsightFace
  • Solve face detection model
Ruihai Hou
Renmiao Chen
  • Determine our plan
  • Finish audio_drived_data_collector version 0.1
  • Anaylze some example
  • Design strategies for collection
  • conclusion & preliminary ideas
  • Finish video-drived collection data collector
Wenqiang Du
  • Some project cooperation
  • Some project cooperation
  • English acoustic model upgrade
Wan Lin
  • Test the method mentioned in the last report
  • Papers on noise filtering
  • Find ways to improve model adaptability