“2024-01-06”版本间的差异

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(11位用户的13个中间修订版本未显示)
第6行: 第6行:
 
|Dong Wang
 
|Dong Wang
 
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* Polish AI handbook (middle school and high school)
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* Tsinghua Middel School 4th tutorial.
  
 
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第18行: 第19行:
 
|Lantian Li
 
|Lantian Li
 
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* Polish middle-school AI handbook
 
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第29行: 第30行:
 
|Ying Shi
 
|Ying Shi
 
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* Analyze and summarize the previous experiments
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* Project things
 
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* continue on overlap asr task
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* submit HUADANIAN  challenge  proposal
 
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第41行: 第43行:
 
|Zhenghai You
 
|Zhenghai You
 
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* The general content of the paper has been completed
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(The method part still needs to be formalized, and the experimental part needs to be carefully thought about how to write it)[https://z1et6d3xtb.feishu.cn/docx/K4SYdNM2QoBFqOxFp7Hc8Z3Mnpg]
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* SSL loss in TSE[https://z1et6d3xtb.feishu.cn/wiki/FxC6w452Wio4PfkmBofcZ822ndY?pre_pathname=%2Fdrive%2Fhome%2F]
 
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第62行: 第66行:
 
|Xiaolou Li
 
|Xiaolou Li
 
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* Finish CN-AV-HuBERT code modify, already test on small data
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* Simplified the post process of collected data
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* CVS3 audit for December
 
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* prepare training data for AVHuBERT, cp it to GA
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* Some function demand on process server need to be solve
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* Data Audit
 
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第85行: 第93行:
 
|Pengqi Li
 
|Pengqi Li
 
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* IS25 Proposal almost done(Double check and stat result)
 
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第107行: 第115行:
 
|Tianhao Wang
 
|Tianhao Wang
 
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* Try using attention instead of FiLM:
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** valid loss: query emb cross-attn: -8.065 vs. query feature cross-attn: -9.127 vs. FiLM: -10.054
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** read a paper show that FiLM is better than attention in sound sep task
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* Huawei project testing
 
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第141行: 第152行:
 
|Junhui Chen
 
|Junhui Chen
 
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* finished all course homework and final exams
 
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第163行: 第174行:
 
|Yu Zhang
 
|Yu Zhang
 
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* Finish Memory mechanism and Policy fusion part, start run and do further debug
 
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第185行: 第196行:
 
|Yang Wei
 
|Yang Wei
 
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* Text enroll KWS model training without CTC loss.
 
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第195行: 第206行:
 
|Turi
 
|Turi
 
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* Midterm defense
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* Assessment exam for application
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* Experiment on improving Oromo ASR[https://z1et6d3xtb.feishu.cn/docx/JvDsd8zR4oMwnyxQEQdckpMjn7m?from=from_copylink]
 
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2025年1月6日 (一) 10:59的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Polish AI handbook (middle school and high school)
  • Tsinghua Middel School 4th tutorial.
Lantian Li
  • Polish middle-school AI handbook
Ying Shi
  • Analyze and summarize the previous experiments
  • Project things
  • continue on overlap asr task
  • submit HUADANIAN challenge proposal
Zhenghai You
  • The general content of the paper has been completed

(The method part still needs to be formalized, and the experimental part needs to be carefully thought about how to write it)[1]

  • SSL loss in TSE[2]
Junming Yuan
Xiaolou Li
  • Finish CN-AV-HuBERT code modify, already test on small data
  • Simplified the post process of collected data
  • CVS3 audit for December
  • prepare training data for AVHuBERT, cp it to GA
  • Some function demand on process server need to be solve
  • Data Audit
Zehua Liu
  • Organize my previous Experiment Result[3]
  • Add correct loss, but code encounters some bugs, so i fix it and train again(still training)
Pengqi Li
  • IS25 Proposal almost done(Double check and stat result)
Wan Lin
  • NS: multi-enroll+margin bce: 1.638% -> 1.521% (5w spk)
Tianhao Wang
  • Try using attention instead of FiLM:
    • valid loss: query emb cross-attn: -8.065 vs. query feature cross-attn: -9.127 vs. FiLM: -10.054
    • read a paper show that FiLM is better than attention in sound sep task
  • Huawei project testing
Xiaoxue Luo
  • final exam
  • wrote the remaining course papers
Zhenyu Zhou
Junhui Chen
  • finished all course homework and final exams
Jiaying Wang
Yu Zhang
  • Finish Memory mechanism and Policy fusion part, start run and do further debug
Wenqiang Du
Yang Wei
  • Text enroll KWS model training without CTC loss.
Turi
  • Midterm defense
  • Assessment exam for application
  • Experiment on improving Oromo ASR[4]
Yue Gu
  • report my recent work
  • read paper about functionally invariant path, which was reported by Prof. Wang.
Qi Qu
  • KWS:
    • pre-prod routine work for zh48+yichang5 models.
    • android demo backed with gRPC services deployed on peacock01.
  • QAT: exploration with little progress.