“2024-03-25”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
第120行: 第120行:
 
|Wan Lin
 
|Wan Lin
 
||  
 
||  
*  
+
* Neural scoring [https://z1et6d3xtb.feishu.cn/docx/TQvWdk8LVo9ONaxQ5Qac9A2Dn3d?from=from_copylink]
 
||
 
||
 
*
 
*

2024年3月25日 (一) 10:55的版本

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
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[4]
Junming Yuan
  • Experimental report on "learn not to listen"[5]
Chen Chen
  • entropy analysis
  • group work [6]
  • 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
  • Review 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 [7]
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 [8]
    • User authentication
    • Data storage