“2024-05-20”版本间的差异

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* GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh]
 
* GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh]
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* Projects (AED -> Hardware support, TSE -> Test&Analysis)
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* Projects (AED -> Quantization, TSE -> Data analysis & Model training)
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* ASIP-BUPT (NeuralScoring -> Paper, CohortSS -> Data Analysis)
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* ASIP-BUPT (NeuralScoring -> Paper-Exps, CohortSS -> Hold)
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* Check NIPS & Review theses
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* My application & HaiNan fund
 
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|Ying Shi
 
|Ying Shi
 
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* Diting Demo
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* Cohort ASR with conditional chain
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* [https://z1et6d3xtb.feishu.cn/docx/Mt7adFRZMoDHcwxkeLPcdWTGngf?from=from_copylink group work]
 
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|Zhenghai You
 
|Zhenghai You
 
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* Data extension model in session one data
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* Evaluation of mixed speech of targetless speakers
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* Model evaluation under different loudness levels[https://z1et6d3xtb.feishu.cn/docx/PBAZdsiSWoq82YxWsu3cCD4Tnte]
 
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* AKVSR + pos_emb + attscore_celoss very promising
 
* AKVSR + pos_emb + attscore_celoss very promising
 
* AKVSR(v2.1) + pos_emb  > AKVSR + pos_emb
 
* AKVSR(v2.1) + pos_emb  > AKVSR + pos_emb
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* NC2024 paper writing  
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* NC2024 paper writing [https://z1et6d3xtb.feishu.cn/docx/ZaTFd3A5EoK982xWBVschloanee?from=from_copylink]
 
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|Wan Lin
 
|Wan Lin
 
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* NS: add enroll condition to test encoder: didn't work
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** Mix-Vox1-O: 4.94% vs 4.28%(vit)
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* Determine the experimental design of NS paper together
 
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|Wenqiang Du
 
|Wenqiang Du
 
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* Upgrade task for aibabel's new 48 worlds KWS model，Doing
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* Upgrade task for aibabel's new 48 words KWS model，Doing
 
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|Yue Gu
 
|Yue Gu
 
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* paper writing: 70% experiment section
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* compelete kespeech baseline
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* the training of semantic paraformer is convergent
 
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2024年5月21日 (二) 01:02的最后版本

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 words 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.
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