“2022-09-19”版本间的差异

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(5位用户的6个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
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* Purify AIGraph 3rd part
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* Feedback to AIBook review
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* Review work for Interspeech doctorial forum and several journal papers
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* Slides for speech course
 
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第16行: 第19行:
 
|Lantian Li
 
|Lantian Li
 
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* Conditional training
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* Binary speaker embedding
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* Hard trials paper
 
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第27行: 第32行:
 
|Ying Shi
 
|Ying Shi
 
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* PhD research proposal
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* aishell course video
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* Few-shot kws training
 
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* research proposal ...
 
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第53行: 第60行:
 
|Pengqi Li
 
|Pengqi Li
 
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*
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* Gradient-based methods
 
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第87行: 第94行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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*
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* Check LiRAVD data
 
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第109行: 第116行:
 
|Renmiao Chen
 
|Renmiao Chen
 
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* collecting data
 
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* preparing papers
 
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2022年9月19日 (一) 11:01的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Purify AIGraph 3rd part
  • Feedback to AIBook review
  • Review work for Interspeech doctorial forum and several journal papers
  • Slides for speech course
Lantian Li
  • Conditional training
  • Binary speaker embedding
  • Hard trials paper
Ying Shi
  • PhD research proposal
  • aishell course video
  • Few-shot kws training
  • research proposal ...
Chen Chen
  • Finish processing & annotating data
  • Try VCAGAN, Lip2Wav, xTS training
  • Finish preparing training data for VCAGAN, Lip2Wav, xTS
  • Start draft
  • train models
  • finish Chinese draft
Pengqi Li
  • Gradient-based methods
Zixi Yan
  • Experimental data environment arrangement
Sirui Li
  • End-to-end unsupervised ASR
  • make a resume
Haoyu Jiang
  • Check LiRAVD data
Ruihai Hou
Renmiao Chen
  • collecting data
  • preparing papers
Wenqiang Du
  • Minority speech recognition paper
  • release asr model
Wan Lin
Tianhao Wang
  • leave-one-out method (based on time-domain)
  • postgraduate recommendation
Xipin Wei
  • research speech CONTROLLABLE MULTI-STYLE MUSIC GENERATION MODEL BASED ON SIMPLE CONTRASTIVE LEARNING
  • 1.model training;
  • 2.experiment