“2024-03-25”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
 
(5位用户的5个中间修订版本未显示)
第10行: 第10行:
 
* Finaly review of NeuralMag paper [https://www.overleaf.com/project/655f2c44824b8de1fdfeae23]
 
* Finaly review of NeuralMag paper [https://www.overleaf.com/project/655f2c44824b8de1fdfeae23]
 
* Rebutal for IJCAI paper [https://www.overleaf.com/project/65f96c74e1c7f322aea4477c]
 
* Rebutal for IJCAI paper [https://www.overleaf.com/project/65f96c74e1c7f322aea4477c]
 
 
||
 
||
 
*
 
*
第21行: 第20行:
 
|Lantian Li
 
|Lantian Li
 
||
 
||
*  
+
* GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh]
 +
* Rebutal for IJCAI paper
 +
* ASIP-BUPT (CohortTSE, NeuralScoring)
 
||
 
||
 
*  
 
*  
第27行: 第28行:
 
*   
 
*   
 
|-
 
|-
 +
  
  
第80行: 第82行:
 
|Xiaolou Li
 
|Xiaolou Li
 
||  
 
||  
*  
+
* Reproduce different structure
 +
** Baseline training with less data
 +
** Code write and debug
 +
*** ResNet3D, Branchformer, E-Branchformer, interCTC
 +
* Paper Reading: Some VSR paper in ICASSP2024
 
||
 
||
*  
+
* Experiment in different structure
 
||
 
||
 
*   
 
*   
第91行: 第97行:
 
|Zehua Liu
 
|Zehua Liu
 
||  
 
||  
*
+
* ASR training for model distillation
 +
* Paper Reading
 
||
 
||
 
*  
 
*  
第102行: 第109行:
 
|Pengqi Li
 
|Pengqi Li
 
||   
 
||   
* Review of speech processing XAI for NSFC
+
* summary[https://z1et6d3xtb.feishu.cn/sheets/TISnsS8omhWfOstgoxocGNOFnrd] of speech processing XAI for NSFC
 
** download 160+ papers(113 about speech processing XAI; Traditional XAI method; review)
 
** download 160+ papers(113 about speech processing XAI; Traditional XAI method; review)
 
** Summarize them using LLM and categorize by speech processing task.
 
** Summarize them using LLM and categorize by speech processing task.
第115行: 第122行:
 
|Wan Lin
 
|Wan Lin
 
||  
 
||  
*  
+
* Neural scoring [https://z1et6d3xtb.feishu.cn/docx/TQvWdk8LVo9ONaxQ5Qac9A2Dn3d?from=from_copylink]
 
||
 
||
 
*
 
*
第137行: 第144行:
 
|Zhenyu Zhou
 
|Zhenyu Zhou
 
||  
 
||  
*
+
* Neural scoring docs and codes reviewing
 
||
 
||
 
*
 
*

2024年4月1日 (一) 03:47的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Design learn not to listen, to reduce false alarms for KWS [1]
  • Design AI courses for primary and middle schools
  • Finaly review of NeuralMag paper [2]
  • Rebutal for IJCAI paper [3]
Lantian Li
  • GPU status [4]
  • Rebutal for IJCAI paper
  • ASIP-BUPT (CohortTSE, NeuralScoring)
Ying Shi
  • Experimental Result for SPL Paper: Phrase Guided End-to-End Target Sentence Extraction from Overlapping Speech
  • Data Preparation
    • Chinese Overlap ASR model
    • Detect wake-up words from Continuous speech
  • Finish draft for SPL paper
  • Finish model training
Zhenghai You
  • A matching encoder experiment in cohort[5]
Junming Yuan
  • Experimental report on "learn not to listen"[6]
Chen Chen
  • entropy analysis
  • group work [7]
  • thesis
Xiaolou Li
  • Reproduce different structure
    • Baseline training with less data
    • Code write and debug
      • ResNet3D, Branchformer, E-Branchformer, interCTC
  • Paper Reading: Some VSR paper in ICASSP2024
  • Experiment in different structure
Zehua Liu
  • ASR training for model distillation
  • Paper Reading
Pengqi Li
  • summary[8] of speech processing XAI for NSFC
    • download 160+ papers(113 about speech processing XAI; Traditional XAI method; review)
    • Summarize them using LLM and categorize by speech processing task.
  • 3.28 will finish v1
Wan Lin
  • Neural scoring [9]
Tianhao Wang
  • Neural scoring docs and codes reviewing
Zhenyu Zhou
  • Neural scoring docs and codes reviewing
Junhui Chen
  • Neural scoring: mix/overlap/concat test
Jiaying Wang
  • one cohort distance test(The probability of selecting the source closer to the cohort as the target during testing)
    • the rate is still around 0.5
  • speakerbeam with no enroll/cohort + minimal loss training
    • double-check done
    • still training, but seem to converge at val_loss around -3
    • confused
Yu Zhang
  • Financial Backtest indicators check
  • Jun Wang R2 SAC codes and papers reading
  • Reproduce R2 SAC and FinRL policy
Wenqiang Du
  • update CN KWS model for AIbabel
    • Using real environment and FA data to update the model
Yang Wei
  • Prepare for children mispronunciation detection and diagnosis base model
Lily
  • Paper reading and prepare for journal paper
  • Data annotation (for perception)
Turi
  • Data Collection App Backend [10]
    • User authentication
    • Data storage