“2024-04-01”版本间的差异

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第34行: 第34行:
 
|Ying Shi
 
|Ying Shi
 
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*  got sick and was unable to complete much of work as expected
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*  got sick and was unable to complete most of my work as expected
 
* Finish Chinese Overlap ASR Model training
 
* Finish Chinese Overlap ASR Model training
* Detect wake-up words from Continuous speech still in training process
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* Detect wake-up words from Continuous speech still in the training process
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* [https://z1et6d3xtb.feishu.cn/wiki/OfyEwaqjkiCRmGk1Cl0cZKGEnIT?from=from_copylink group work ]
 
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* Finish wake-up Model
 
* Finish wake-up Model
第49行: 第50行:
 
|Zhenghai You
 
|Zhenghai You
 
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* Huawei project[https://z1et6d3xtb.feishu.cn/wiki/VOF4wORTWiw7tZkD3M4cZFkInOe]
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* Minimal loss without cohort
 
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|Chen Chen
 
|Chen Chen
 
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* Finish thesis v1
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* group work [https://z1et6d3xtb.feishu.cn/docx/YMiLdBy4Yo59ITxmoYDcCfdMnBf?from=from_copylink]
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* refine thesis
 
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第81行: 第84行:
 
|Xiaolou Li
 
|Xiaolou Li
 
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* reproduce VSR structures
 
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第92行: 第95行:
 
|Zehua Liu
 
|Zehua Liu
 
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*
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* try many distillation ways[https://z1et6d3xtb.feishu.cn/docx/ZaTFd3A5EoK982xWBVschloanee?from=from_copylink]
 
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第103行: 第106行:
 
|Pengqi Li
 
|Pengqi Li
 
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*  
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* summary[https://z1et6d3xtb.feishu.cn/docx/Mt46dqE8UoBnuBxu7q8cPletnzb] of speech processing XAI for NSFC
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** finished structure and almost content
 
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* polish, reference, tables
 
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第114行: 第118行:
 
|Wan Lin
 
|Wan Lin
 
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* Neural Scoring
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** Adjust the training and testing phase of mutil-speaker tasks
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** Design of the new architecture
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* Graduation paper
 
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第125行: 第132行:
 
|Tianhao Wang
 
|Tianhao Wang
 
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* EA-ASP (from SJTU) reproducing
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** data preparation
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** EA-ASP implement
 
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第136行: 第145行:
 
|Zhenyu Zhou
 
|Zhenyu Zhou
 
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*
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*Baseline design[https://z1et6d3xtb.feishu.cn/docx/BywjdkGvNou12sxQ4dAcxYa9noh]
 
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第147行: 第156行:
 
|Junhui Chen
 
|Junhui Chen
 
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* reproduce frequency-channel attention for Neural Scoring
 
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第158行: 第167行:
 
|Jiaying Wang
 
|Jiaying Wang
 
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* Huawei Project
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* icassp 2024 paper selection
 
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* speakerbeam + ResNet [-10,4]
 
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第169行: 第179行:
 
|Yu Zhang
 
|Yu Zhang
 
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* SAC training
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* R2-SAC adapted database build (2020 - 2023, benchmark and stocks)
 
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第193行: 第204行:
 
|Yang Wei
 
|Yang Wei
 
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* Train ASR model for children mispronunciation detection and diagnosis task.
 
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2024年4月1日 (一) 11:02的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • NeuralMag paper finalization
  • Review on TALIP
  • Design for AI primary education
Lantian Li
  • GPU status [1]
  • Submit three delivery packages (KTV-TSE, Bullying-D, SpeechActivity-D).
  • ASIP-BUPT (NeuralScoring [with MixT/MFA], CohortTSE)
  • AI course series
  • New machine (rabbit04)
Ying Shi
  • got sick and was unable to complete most of my work as expected
  • Finish Chinese Overlap ASR Model training
  • Detect wake-up words from Continuous speech still in the training process
  • group work
  • Finish wake-up Model
  • deliver ASR model and wake-up model
  • Finish draft of SPL paper....
Zhenghai You
  • Huawei project[2]
  • Minimal loss without cohort
Junming Yuan
  • Experimental report on "learn not to listen" v3[3]
Chen Chen
  • Finish thesis v1
  • group work [4]
  • refine thesis
Xiaolou Li
  • reproduce VSR structures
Zehua Liu
  • try many distillation ways[5]
Pengqi Li
  • summary[6] of speech processing XAI for NSFC
    • finished structure and almost content
  • polish, reference, tables
Wan Lin
  • Neural Scoring
    • Adjust the training and testing phase of mutil-speaker tasks
    • Design of the new architecture
  • Graduation paper
Tianhao Wang
  • EA-ASP (from SJTU) reproducing
    • data preparation
    • EA-ASP implement
Zhenyu Zhou
  • Baseline design[7]
Junhui Chen
  • reproduce frequency-channel attention for Neural Scoring
Jiaying Wang
  • Huawei Project
  • icassp 2024 paper selection
  • speakerbeam + ResNet [-10,4]
Yu Zhang
  • SAC training
  • R2-SAC adapted database build (2020 - 2023, benchmark and stocks)
Wenqiang Du
  • Try to find the reasons why the offline testing and online running of the model have different effects
    • almost fix [8]
Yang Wei
  • Train ASR model for children mispronunciation detection and diagnosis task.
Lily
  • Data Analysis
Turi
  • Text data collection
    • Pdf documents
    • News articles from official news website
  • Course work