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− | * | + | * Text enroll KWS model training without CTC loss. |
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People |
This Week |
Next Week |
Task Tracking (DeadLine)
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Dong Wang
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Lantian Li
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- Polish high-school AI handbook
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Ying Shi
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- Analyze and summarize the previous experiments
- Project things
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- continue on overlap asr task
- submit HUADANIAN challenge proposal
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Zhenghai You
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Junming Yuan
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Xiaolou Li
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- Finish CN-AV-HuBERT code modify, already test on small data
- Simplified the post process of collected data
- CVS3 audit for December
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- prepare training data for AVHuBERT, cp it to GA
- Some function demand on process server need to be solve
- Data Audit
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Zehua Liu
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- Organize my previous Experiment Result[1]
- Add correct loss, but code encounters some bugs, so i fix it and train again(still training)
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Pengqi Li
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- IS25 Proposal almost done(Double check and stat result)
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Wan Lin
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- NS: multi-enroll+margin bce: 1.638% -> 1.521% (5w spk)
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Tianhao Wang
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- Try using attention instead of FiLM:
- valid loss: query emb cross-attn: -8.065 vs. query feature cross-attn: -9.127 vs. FiLM: -10.054
- read a paper show that FiLM is better than attention in sound sep task
- Huawei project testing
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Xiaoxue Luo
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- final exam
- wrote the remaining course papers
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Zhenyu Zhou
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Junhui Chen
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- finished all course homework and final exams
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Jiaying Wang
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Yu Zhang
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- Finish Memory mechanism and Policy fusion part, start run and do further debug
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Wenqiang Du
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Yang Wei
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- Text enroll KWS model training without CTC loss.
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Turi
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- Midterm defense
- Assessment exam for application
- Experiment on improving Oromo ASR[2]
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Yue Gu
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- report my recent work
- read paper about functionally invariant path, which was reported by Prof. Wang.
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Qi Qu
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- KWS:
- pre-prod routine work for zh48+yichang5 models.
- android demo backed with gRPC services deployed on peacock01.
- QAT: exploration with little progress.
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