“2026-01-19”版本间的差异

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|Junming Yuan
 
|Junming Yuan
 
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* Aug-MT-HuBERT
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* Aug-MT-HuBERT(failed)
 
** Continued pre-training for 600K steps. there is still no improvement observed on clean-speech tasks.
 
** Continued pre-training for 600K steps. there is still no improvement observed on clean-speech tasks.
 
*** Aug-MT-HuBERT has more substitution errors in clean ASR adaptation.
 
*** Aug-MT-HuBERT has more substitution errors in clean ASR adaptation.

2026年1月19日 (一) 10:36的版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Recheck AI textbooks for primary and middle schools.
Lantian Li
Wenqiang Du
Yang Wei
Ying Shi
  • Thesis
  • Huawei multi-talker ASR project(Mandarin 2-mix test with FunASR-Nano-800M)
    • ground-truth WER 3.89%
    • separated WER 12.11%
Yue Gu
  • write my Phd thesis
  • the seminar
Lily
  • Participated in reviewing the AI handbooks (primary/middle/high school)
  • Compiled course materials for the AI Handbook (Senior Edition)
Pengqi Li
Junming Yuan
  • Aug-MT-HuBERT(failed)
    • Continued pre-training for 600K steps. there is still no improvement observed on clean-speech tasks.
      • Aug-MT-HuBERT has more substitution errors in clean ASR adaptation.
  • Incorporate a "learn-not-to-listen" mechanism into MT-HuBERT and retrain the backbone. (in progress)
    • At 425K steps, PR(PER%): 8.18%, ASR(WER%): 9.32%, SD(DER%): 5.05%
  • prepare the slides of the seminar
  • middle school AI textbook checking(picture, table)
Yu Zhang
Junhui Chen
Jiaying Wang
Bochao Hu
Hongcheng Zhang
Weiman Sun
  • Label audioset vedio dataset
  • Analyze the representation of MT-LLM inference and review relevant literature