“2024-05-20”版本间的差异

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（17位用户的21个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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*
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* Prepare several public presentations
 +
:Tsinghua middle school - Yongfeng
 +
:Tsinghua Middle school - Zhixin
 +
:BanYueTan & Xinhua pub. & Tsinghua pub.
 +
* Text-to-sql paper polishing
 
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*
 
*
第12行： 第16行：
 
*
 
*
 
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|-
 +
  
  
第17行： 第22行：
 
|Lantian Li
 
|Lantian Li
 
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−
*
+
* GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh]
 +
* Projects (AED -> Quantization, TSE -> Data analysis & Model training)
 +
* ASIP-BUPT (NeuralScoring -> Paper-Exps, CohortSS -> Hold)
 +
* My application & HaiNan fund
 
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*
+
*  
 
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−
*
+
*
 
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第28行： 第36行：
 
|Ying Shi
 
|Ying Shi
 
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−
*
+
* Diting Demo
 +
* Cohort ASR with conditional chain
 +
* [https://z1et6d3xtb.feishu.cn/docx/Mt7adFRZMoDHcwxkeLPcdWTGngf?from=from_copylink group work]
 
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*
 
*
第39行： 第49行：
 
|Zhenghai You
 
|Zhenghai You
 
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−
*
+
* Data extension model in session one data
 +
* Evaluation of mixed speech of targetless speakers
 +
* Model evaluation under different loudness levels[https://z1et6d3xtb.feishu.cn/docx/PBAZdsiSWoq82YxWsu3cCD4Tnte]
 
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*
 
*
第49行： 第61行：
 
|Junming Yuan
 
|Junming Yuan
 
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||
 +
* Add speed perturbation into the code, still no improvement.
 
* Control FA experiment result[https://z1et6d3xtb.feishu.cn/docx/Ua0cdv3ano0qHoxN8YvcmRsVn9f]
 
* Control FA experiment result[https://z1et6d3xtb.feishu.cn/docx/Ua0cdv3ano0qHoxN8YvcmRsVn9f]
 
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第60行： 第73行：
 
|Chen Chen
 
|Chen Chen
 
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−
*
+
* Prepare for live broadcast
 +
* vii group [https://z1et6d3xtb.feishu.cn/docx/TOaHdhyYqo168hxBhsacrfGdnjh?from=from_copylink]
 +
** good news for audio memory and bi-mamba
 +
** 87 hours new data for CN-CVS2
 
||
 
||
 
*
 
*
第71行： 第87行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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−
*
+
* Bi-Mamba exp on cnvsrc-single (48.75%)
 +
* LRS2, LRS3 dataset preparation
 +
* Bi -Mamba exp on LRS2 (4s and full, slow training)
 
||
 
||
−
*
+
* try to find a method to do data cleaning
 
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||
 
*
 
*
第82行： 第100行：
 
|Zehua Liu
 
|Zehua Liu
 
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||
−
*
+
* AKVSR + pos_emb > baseline
 +
* AKVSR + pos_emb + attscore_celoss very promising
 +
* AKVSR(v2.1) + pos_emb  > AKVSR + pos_emb
 +
* NC2024 paper writing [https://z1et6d3xtb.feishu.cn/docx/ZaTFd3A5EoK982xWBVschloanee?from=from_copylink]
 
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*
 
*
第93行： 第114行：
 
|Pengqi Li
 
|Pengqi Li
 
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−
*
+
* NC papers of Our Group[https://z1et6d3xtb.feishu.cn/docx/M4HHdMPvGo6OHUxdC0pcbLkmnid]
 
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*
 
*
第104行： 第125行：
 
|Wan Lin
 
|Wan Lin
 
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−
*
+
* NS: add enroll condition to test encoder: didn't work
 +
** Mix-Vox1-O: 4.94% vs 4.28%(vit)
 +
* Determine the experimental design of NS paper together
 
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*
 
*
第115行： 第138行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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−
*
+
* align the toolkit for neural scoring
 +
* next experimental designing with CJH and LW
 
||
 
||
 
*
 
*
第159行： 第183行：
 
|Yu Zhang
 
|Yu Zhang
 
||
 
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−
*
+
*AutoML
 +
** slash stock num
 +
** last 7 days to forecast next 1 day return value (failed)
 +
** last 7 days to forecast next 1 day rise or fall (failed)
 
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||
 
*
 
*
第170行： 第197行：
 
|Wenqiang Du
 
|Wenqiang Du
 
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−
*
+
* Upgrade task for aibabel's new 48 worlds KWS model，Doing
 
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*
 
*
第181行： 第208行：
 
|Yang Wei
 
|Yang Wei
 
||
 
||
−
*
+
* Children MDD challenge
 +
** Discuss with CASS, and prepare environment on their device
 +
* Huilan stuff
 +
** try to convert the TTS model to ONNX format
 
||
 
||
 
*
 
*
第191行： 第221行：
 
|Lily
 
|Lily
 
||
 
||
−
*
+
* Thesis
 
||
 
||
 
*
 
*
第201行： 第231行：
 
|Turi
 
|Turi
 
||
 
||
−
*
+
* Data Collection
 +
** 25.9K
 +
* Paper reading and Course Works
 
||
 
||
 
*
 
*
第209行： 第241行：
 
|Yue Gu
 
|Yue Gu
 
||
 
||
−
*
+
* paper writing: 70% experiment section
 +
* compelete kespeech baseline
 +
* the training of semantic paraformer is convergent
 
||
 
||
 
*
 
*
第218行： 第252行：
 
|Qi Qu
 
|Qi Qu
 
||
 
||
−
*  
+
* KWS
 +
** (ongoing) Standardize dataset formats and test routines.
 +
** Optimize B6-based online model service.
 
||
 
||
 
*
 
*

2024年5月20日 (一) 11:04的版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Prepare several public presentations
Tsinghua middle school - Yongfeng
Tsinghua Middle school - Zhixin
BanYueTan & Xinhua pub. & Tsinghua pub.
  • Text-to-sql paper polishing
Lantian Li
  • GPU status [1]
  • Projects (AED -> Quantization, TSE -> Data analysis & Model training)
  • ASIP-BUPT (NeuralScoring -> Paper-Exps, CohortSS -> Hold)
  • My application & HaiNan fund
Ying Shi
  • Diting Demo
  • Cohort ASR with conditional chain
  • group work
Zhenghai You
  • Data extension model in session one data
  • Evaluation of mixed speech of targetless speakers
  • Model evaluation under different loudness levels[2]
Junming Yuan
  • Add speed perturbation into the code, still no improvement.
  • Control FA experiment result[3]
  • To design other method
Chen Chen
  • Prepare for live broadcast
  • vii group [4]
    • good news for audio memory and bi-mamba
    • 87 hours new data for CN-CVS2
Xiaolou Li
  • Bi-Mamba exp on cnvsrc-single (48.75%)
  • LRS2, LRS3 dataset preparation
  • Bi -Mamba exp on LRS2 (4s and full, slow training)
  • try to find a method to do data cleaning
Zehua Liu
  • AKVSR + pos_emb > baseline
  • AKVSR + pos_emb + attscore_celoss very promising
  • AKVSR(v2.1) + pos_emb > AKVSR + pos_emb
  • NC2024 paper writing [5]
Pengqi Li
  • NC papers of Our Group[6]
Wan Lin
  • NS: add enroll condition to test encoder: didn't work
    • Mix-Vox1-O: 4.94% vs 4.28%(vit)
  • Determine the experimental design of NS paper together
Tianhao Wang
  • align the toolkit for neural scoring
  • next experimental designing with CJH and LW
Zhenyu Zhou
Junhui Chen
Jiaying Wang
Yu Zhang
  • AutoML
    • slash stock num
    • last 7 days to forecast next 1 day return value (failed)
    • last 7 days to forecast next 1 day rise or fall (failed)
Wenqiang Du
  • Upgrade task for aibabel's new 48 worlds KWS model，Doing
Yang Wei
  • Children MDD challenge
    • Discuss with CASS, and prepare environment on their device
  • Huilan stuff
    • try to convert the TTS model to ONNX format
Lily
  • Thesis
Turi
  • Data Collection
    • 25.9K
  • Paper reading and Course Works
Yue Gu
  • paper writing: 70% experiment section
  • compelete kespeech baseline
  • the training of semantic paraformer is convergent
Qi Qu
  • KWS
    • (ongoing) Standardize dataset formats and test routines.
    • Optimize B6-based online model service.
取自“http://index.cslt.org/mediawiki/index.php?title=2024-05-20&oldid=41791”