“2024-04-15”版本间的差异

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（5位用户的9个中间修订版本未显示）
第20行： 第20行：
 
|Lantian Li
 
|Lantian Li
 
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* GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh]
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* Projects (POC of Cough/Humming detection, TSE proposal)
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* ASIP-BUPT (NeuralScoring, CohortTSE)
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* AI Course Polish
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* BlockChain Course
 
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第31行： 第35行：
 
|Ying Shi
 
|Ying Shi
 
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* Finish SPL paper version1
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* Wake Up model test with real speech
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* Chinese Phrase-Guided ASR model test with real speech [https://z1et6d3xtb.feishu.cn/wiki/YU81wRCdTijmUxkQWtTcApJTnXf?from=from_copylink group work]
 
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第78行： 第84行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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* Experiment [https://z1et6d3xtb.feishu.cn/docx/Q3C6dcms2ouhUjxZbkycIZ3Jnad?from=from_copylink]
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** Resnet3D + Branchformer
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** E-Branchformer V2
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** Mamba
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* Paper Reading
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** VSR in ICASSP2024
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** Mamba and related paper
 
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* Continue to fix the bug of e branchformer
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* fix the bug of mamba encoder
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* paper reading
 
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第221行： 第235行：
 
|Lily
 
|Lily
 
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* Data Analysis / Annotation（金富，刘欢）
 
* Paper reading [https://z1et6d3xtb.feishu.cn/sheets/WJjEspdCShnFRmt2r92cH3ubnBg?from=from_copylink]
 
* Paper reading [https://z1et6d3xtb.feishu.cn/sheets/WJjEspdCShnFRmt2r92cH3ubnBg?from=from_copylink]
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* Assisted to prepare AI graph course materials and PPTs
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* Assisted to prepare AI graph course materials
 
* Prepare for AI radiance live broadcast
 
* Prepare for AI radiance live broadcast
 
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* review v1[https://z1et6d3xtb.feishu.cn/docx/L0jGdCqEXouL8hx8kelcrJzjn8d?from=from_copylink]
 
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第256行： 第271行：
 
|Yue Gu
 
|Yue Gu
 
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* complete the most experiments of contextual ASR
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* The most experiments of contextual ASR
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* complete the pseudocodes of group stage and bias-phrase decoding lattice
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* The pseudocodes of group stage and bias-phrase decoding lattice
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* read one paper
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* Read one paper
 
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2024年4月15日 (一) 11:26的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Interspeech review
  • AI primary education design
  • <Illustraitver AI> slides refinement
Lantian Li
  • GPU status [1]
  • Projects (POC of Cough/Humming detection, TSE proposal)
  • ASIP-BUPT (NeuralScoring, CohortTSE)
  • AI Course Polish
  • BlockChain Course
Ying Shi
  • Finish SPL paper version1
  • Wake Up model test with real speech
  • Chinese Phrase-Guided ASR model test with real speech group work
Zhenghai You
  • Retrain a SpEx+ model more suitable for online
  • Reflect on cohort and reorganized document
  • paper reading
Junming Yuan
  • prepare materials of live broadcast
  • paper reading
  • got sick
Chen Chen
Xiaolou Li
  • Experiment [2]
    • Resnet3D + Branchformer
    • E-Branchformer V2
    • Mamba
  • Paper Reading
    • VSR in ICASSP2024
    • Mamba and related paper
  • Continue to fix the bug of e branchformer
  • fix the bug of mamba encoder
  • paper reading
Zehua Liu
  • auxiliary loss exp[3]
  • crop_size exp(still training)
  • read papper
  • reproduce other architecture
Pengqi Li
  • speech XAI review v1[4]
  • polished poster
  • live broadcast
  • read ICASSP papers
Wan Lin
  • Finish graduation paper
  • Explore multi-speaker training in NS (how to get batter result in all condition)
    • use wespeaker toolkit
    • effect of time of training sample
    • inherit hard speaker sample
    • add channel-time attention in ResNet to get enroll-aware test feature
Tianhao Wang
  • EA-ASP exps
    • aligned toolkit (wespeaker To sunine), failed. we will align to wespeaker
    • aligned training data (weak overlap To strong overlap)
      • concat and weak_overlap worse, overlap and mix better compared to previous
      • NS arch. has advantages under mix, but non under other tests compared to EA-ASP
  • read paper
  • reproduce SpEx+ in TSV
Zhenyu Zhou
Junhui Chen
  • Neural Scoring result [5]
  • Graduation paper
Jiaying Wang
  • re-organized document 0025[6]
  • SS_based: Conv-Tasnet with one fixed cohort(still training)[7]
  • paper reading
Yu Zhang
  • SAC model training and backtesting [8]
  • financial quantile work pipeline finish
  • add more data to pipeline (more benchmark and more training testing data range)
  • append financial-pipeline design and implement detail doc
  • AutoML for stock return regression
Wenqiang Du
  • Efficient-B6 pretrain model training
  • hard negative training
    • FA data is being collected
Yang Wei
  • Children mispronunciation detection
    • Analyze and check the baseline model
  • Huilan
    • ASR service bug fix and update
Lily
  • Data Analysis / Annotation（金富，刘欢）
  • Paper reading [9]
  • Assisted to prepare AI graph course materials
  • Prepare for AI radiance live broadcast
Turi
  • Data collection App[11]
    • Tested the app and Fixed some bugs
  • Start Recording
Qi Qu
  • Server-side KWS:
    • Tested with EfficientNetB{2,4,6,8}
    • Service to be implemented with EfficientNetB6 (preview)
Yue Gu
  • The most experiments of contextual ASR
  • The pseudocodes of group stage and bias-phrase decoding lattice
  • Read one paper
取自“http://cslt.org/mediawiki/index.php?title=2024-04-15&oldid=41631”