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| 第86行： |
第86行： |
| | |Zehua Liu | | |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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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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| Lantian Li
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| Ying Shi
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| Zhenghai You
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| Junming Yuan
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- MT-Hubert exp[1]:
- 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[2]
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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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