“2022-09-26”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
 
(4位用户的4个中间修订版本未显示)
第6行: 第6行:
 
||  
 
||  
 
* Review low-resource ASR
 
* Review low-resource ASR
||
 
*
 
 
||
 
||
 
* Complete the review
 
* Complete the review
 +
||
 +
 
|-
 
|-
  
第30行: 第30行:
 
|Ying Shi
 
|Ying Shi
 
||  
 
||  
*  
+
* computational efficiency between fncmd and transformer kws
 +
* PhD research proposal
 
||
 
||
*  
+
* finish PhD research proposal
 
||
 
||
 
*   
 
*   
第56行: 第57行:
 
|Pengqi Li
 
|Pengqi Li
 
||   
 
||   
*
+
* summary of mask-based method [https://obwanu1cox.feishu.cn/docx/doxcnori1nTh0pRUDO5DXcdalSh Outline]
 
||
 
||
 
*
 
*
第79行: 第80行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
||  
 
||  
*
+
* weekly report
 +
* Prepare the environment of Wenet
 
||
 
||
 
*
 
*

2022年9月26日 (一) 11:01的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Review low-resource ASR
  • Complete the review
Lantian Li
  • Proposals on
    • music generation
    • binary speaker embedding
    • acoustic-aware learning
  • Hard trials paper...
Ying Shi
  • computational efficiency between fncmd and transformer kws
  • PhD research proposal
  • finish PhD research proposal
Chen Chen
  • Finish draft
  • pre-process CMLR data
  • Train ASR model on GRID and test WER
  • Train VTS model on CMLR single spk
  • Train VCA-GAN
  • Prepare weekly-reading report
Pengqi Li
  • summary of mask-based method Outline
Zixi Yan
  • Revise paper
  • make a resume
Haoyu Jiang
  • weekly report
  • Prepare the environment of Wenet
Ruihai Hou
Renmiao Chen
  • Finish data collection
  • Finish CLLR score fusion
  • Try the maskFace pdf
  • Finish tools for get LiRAVD
  • Extract embedding from LiRAVD and get results
  • Complete the remaining benchmarks
Wenqiang Du
  • Some project cooperation
Wan Lin
Tianhao Wang
  • postgraduate recommendation
  • time-aligned mask
  • finish and summarize time-aligned mask
Xipin Wei
  • Read the music generation documents
  • The scheme of mutil-track-instruments
  • The scheme of mutil-track-instruments