“2024-06-03”版本间的差异

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（10位用户的14个中间修订版本未显示）
第19行： 第19行：
 
|Lantian Li
 
|Lantian Li
 
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* GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh]
 +
* Projects
 +
** AED -> Quantization
 +
** TSE -> SpkAug, InstanceNorm, AbsentLoss
 +
** VSR -> reaching 1000h
 +
** Finance -> Few-shot, RAG + LLM
 +
* Papers
 +
** NeuralScoring -> Paper-Exps, Speed up the progress
 +
* Postgraduate thesis & defense
 
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第30行： 第38行：
 
|Ying Shi
 
|Ying Shi
 
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* Finish phone-level CTC decoding with TLG fst
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* Some stuff about Huawei project collaboration
 
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* Restart research about Cohort Overlap ASR
 
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第89行： 第98行：
 
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*Smooth Label Celoss (cer: 48.09)[https://z1et6d3xtb.feishu.cn/docx/ZaTFd3A5EoK982xWBVschloanee?from=from_copylink]
 
*Smooth Label Celoss (cer: 48.09)[https://z1et6d3xtb.feishu.cn/docx/ZaTFd3A5EoK982xWBVschloanee?from=from_copylink]
−
*Find some parameters need to adjust
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*Find some parameters need to adjust[https://z1et6d3xtb.feishu.cn/docx/I8nKdBPz1ojcskxNbDocvvzenud?from=from_copylink]
 
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第100行： 第109行：
 
|Pengqi Li
 
|Pengqi Li
 
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* Completed the NC paper(v1) titled "Explainable Artificial Intelligence for Deep Speech Signal Processing: A survey"
 
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第111行： 第120行：
 
|Wan Lin
 
|Wan Lin
 
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* Supplement experimental results
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** NS & Mixup & Eaasp single/mutil-scenario training
 
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第122行： 第132行：
 
|Tianhao Wang
 
|Tianhao Wang
 
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* Tracing experimental results
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** "hard spk sample" is useful for clean ns
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* share encoder exps (training)
 
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第133行： 第145行：
 
|Zhenyu Zhou
 
|Zhenyu Zhou
 
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*
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*huawei project[https://z1et6d3xtb.feishu.cn/docx/ByKfdNBcLolQsWxMl3hcjI0XnHh]
 
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第144行： 第156行：
 
|Junhui Chen
 
|Junhui Chen
 
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* Neural Scoring complementary experiments
 
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第155行： 第167行：
 
|Jiaying Wang
 
|Jiaying Wang
 
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−
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* come back! continue cohort within vit structure
 
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第201行： 第213行：
 
|Lily
 
|Lily
 
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* Live broadcast
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* Xinjiang teacher's course
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* Children's course (Sunday)
 
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第221行： 第235行：
 
|Yue Gu
 
|Yue Gu
 
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* complete the semantic paraformer exps
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* do some modular analysis about Competition Elimination Mechanism
 
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2024年6月3日 (一) 11:02的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Paper for Uyghur children pronunciation analysis (@Maolidan)
  • Review NSFC
  • Several public talks
Lantian Li
  • GPU status [1]
  • Projects
    • AED -> Quantization
    • TSE -> SpkAug, InstanceNorm, AbsentLoss
    • VSR -> reaching 1000h
    • Finance -> Few-shot, RAG + LLM
  • Papers
    • NeuralScoring -> Paper-Exps, Speed up the progress
  • Postgraduate thesis & defense
Ying Shi
  • Finish phone-level CTC decoding with TLG fst
  • Some stuff about Huawei project collaboration
  • Restart research about Cohort Overlap ASR
Zhenghai You
  • Revised dataset with correct snr
  • Train targetless data with SE-SISDR loss[2]
Junming Yuan
  • Adjusted the strategy of "learn not to listen", but still no work[3]
  • make the plan for the next stage
Chen Chen
Xiaolou Li
  • Pos embedding Exp [4]
  • Frontend and bi-Transformer Exp
  • Branchmamba Exp
Zehua Liu
  • Smooth Label Celoss (cer: 48.09)[5]
  • Find some parameters need to adjust[6]
Pengqi Li
  • Completed the NC paper(v1) titled "Explainable Artificial Intelligence for Deep Speech Signal Processing: A survey"
Wan Lin
  • Supplement experimental results
    • NS & Mixup & Eaasp single/mutil-scenario training
Tianhao Wang
  • Tracing experimental results
    • "hard spk sample" is useful for clean ns
  • share encoder exps (training)
Zhenyu Zhou
  • huawei project[7]
Junhui Chen
  • Neural Scoring complementary experiments
Jiaying Wang
  • come back! continue cohort within vit structure
Yu Zhang
  • Paper rading
  • Huawei cough humming model quantization
Wenqiang Du
  • Prepare to train new kws model （48 words） for Aibabel Company
Yang Wei
  • Huilan TTS
    • Fix bugs of the updated TTS server.
    • Try to use ONNX model in TTS server. (In progress)
Lily
  • Live broadcast
  • Xinjiang teacher's course
  • Children's course (Sunday)
Turi
  • Data collection
    • No contribution, as students are on final
  • Final projects and live broadcast
Yue Gu
  • complete the semantic paraformer exps
  • do some modular analysis about Competition Elimination Mechanism
Qi Qu
  • KWS
    • Data processing routines: VAD, ASR.
    • Test routines: keyword-wise ROC.
    • Data collection: Uyghur and Kazakh.
  • AED
    • Online demo.
取自“http://cslt.org/mediawiki/index.php?title=2024-06-03&oldid=41838”