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− | * | + | * Exploring the role of speaker encoder in TSE and generality of SPK-AUG[https://z1et6d3xtb.feishu.cn/docx/GHF8doRjDo50ihxGUPpcsZgLncb?from=space_home_recent&pre_pathname=%2Fdrive%2Fhome%2F&previous_navigation_time=1728902573829] |
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People |
This Week |
Next Week |
Task Tracking (DeadLine)
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Dong Wang
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- Check AI primary school handbook (1-20)
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Lantian Li
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Ying Shi
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Zhenghai You
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- Exploring the role of speaker encoder in TSE and generality of SPK-AUG[1]
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Junming Yuan
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- MT-Hubert exp[2]:
- codebook set + infoNCE ---> FC+softmax+CE / FC+sigmoid+BCE
- To reduce the learning rate can work.
- verified the feat-mask MT-Hubert with different lr
- time-mask MT-Hubert verification (in progress)
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Chen Chen
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Xiaolou Li
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Zehua Liu
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- Av-Hubert as Encoder performe very bad(cer:80%)
- after finetune maybe better ,but still bad
- Qwen-14B perform better(47%) than Qwen-7B(50%)
- Finish In-Context-Learning code and is training
- maybe i will get result very soon
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Pengqi Li
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- Evaluate TAO and LayerCAM(verification) reliability.
- Exploring the Consistency of TAO and LayerCAM Results on different models and datasets.
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Wan Lin
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Tianhao Wang
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Xiaoxue Luo
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- Paper reading about sound separation
- AudioSep reproduction
- Training time is too long -> replace with a small dataset(in training)
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Zhenyu Zhou
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Junhui Chen
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Jiaying Wang
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Yu Zhang
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- SocioDojo Llama version
- news integration is adjusted once every 12 hours
- wikipedia & google search is banned
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Wenqiang Du
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- Check the data from past training models and update the KWS model again(Model testing)
- Chinese, Cantonese, Minnan, Haining and Uyghur
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Yang Wei
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- Train text enroll KWS model with updated code (in progress)
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Lily
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Turi
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- Whisper model finetuning[3]
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Yue Gu
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- revise the TASLP paper
- read several papers about accent and prosody
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Qi Qu
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- AED: classifiers retrained w/ new method (suppression on negative stimuli) and improvement attested.
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