“2024-12-30”版本间的差异

来自cslt Wiki
跳转至： 导航、 搜索
第76行： 第76行：
 
|Zehua Liu
 
|Zehua Liu
 
||
 
||
 +
*Train LRS3 exp for AlignVSR
 
*Iter Inference 7-times get result (43.88%) better than No Iter-Inference (45.74%)
 
*Iter Inference 7-times get result (43.88%) better than No Iter-Inference (45.74%)
 
*Use Weaker Encoder to generate corrupted text seems slightly better than before(43.88% < 44.54%)[https://z1et6d3xtb.feishu.cn/docx/JBsidACDVojhCaxFQLbcCVbsnAc?from=from_copylink]
 
*Use Weaker Encoder to generate corrupted text seems slightly better than before(43.88% < 44.54%)[https://z1et6d3xtb.feishu.cn/docx/JBsidACDVojhCaxFQLbcCVbsnAc?from=from_copylink]

2024年12月30日 (一) 10:51的版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
Lantian Li
  • Complete 2025 AI calendar
Ying Shi
  • Cosine-Guided Order VS Dominance Guided Order
    • Token error rate and CTC-loss Confusion Matrix [1]
  • Design Learnable order
  • Think about how to use Condition ...
Zhenghai You
Junming Yuan
  • MT-Hubert paper writing(1/2)
  • Check the high school AI handbook(237/362)
Xiaolou Li
  • Data process server code upgrade, data transfer
  • Experiment on 1500h (in training...)
  • Odds and ends...Paper reading, Coursework, Calendar delivery...
  • Upgrade the AV-HuBERT training code and test it
Zehua Liu
  • Train LRS3 exp for AlignVSR
  • Iter Inference 7-times get result (43.88%) better than No Iter-Inference (45.74%)
  • Use Weaker Encoder to generate corrupted text seems slightly better than before(43.88% < 44.54%)[2]
Pengqi Li
  • Conduct a preliminary experiment for the proposal(IS25-XAI) (A clear doc must be produced by the end of this week.)
  • Check the high school AI handbook(1/3)
Wan Lin
  • NS: margin BCE loss & multi-enroll training
Tianhao Wang
Xiaoxue Luo
  • prepare for the final exam
Zhenyu Zhou
Junhui Chen
Jiaying Wang
Yu Zhang
Wenqiang Du
  • Nothing~
Yang Wei
  • Prepare an ASR Java jar file and API doc for zhongchuan
Turi
  • Prepare finetuning code for MMS
    • MMS from meta outperforms whisper and they provide adapters for every language supported which include Oromo language.
    • Server is busy now, plan to do experiment on MMS
  • Prepare ppt for midterm defense
  • Midterm defense
Yue Gu
  • read several papers about synthetic data for personalized ASR and do some exps. plan to report them on this friday or next monday.
Qi Qu
  • Quantization for NPU: metrics updated [3].
  • CED + classifier used as VAD: speech detection during inactive hours in dormitories.
  • QAT (Quantization-Aware Training) exploration.
取自“http://index.cslt.org/mediawiki/index.php?title=2024-12-30&oldid=42682”