| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
|
- Middle-School education PPT
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| Lantian Li
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- Final version proofreading of the high-school book (17/40)
- Polish IS2025 papers.
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| Ying Shi
|
- Conditional chain overlap asr
- pooling order
- padding chain
- augmentation padding
- here
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| Zhenghai You
|
- Completed the revision of the second edition of the paper
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| Junming Yuan
|
- The results of MT-Hubert/Cocktail-Hubert/Hubert on LS960[1]
- 15-shot finetuning(clean/Mixup/MT):MT-HuBERT > Cocktail-Hubert > Hubert
- MPC-Hubert is still in the training queue
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| Xiaolou Li
|
- Paper modification
- Data processing (2000h / 4000h)
- Some new demand in data collection server
- Paper reading
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| Zehua Liu
|
- CNVSRC 2024 and VSR-LLM paper writing and revise, and do some relevant Experiments.
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| Pengqi Li
|
- XAI of Speaker Verification[2]
- some experiment looks like successful
- Writing paper same time(30%)
- Report recently work on Friday
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| Wan Lin
|
- alter training strategy to 2-positive multi-enroll for mix-training
- find and fix some tiny bugs
- results [3]
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| Tianhao Wang
|
- filter the label for AudioSet data (use fine-grained label and avoid duplicated separation)
- import CED model to the training code
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| Xiaoxue Luo
|
- Check the pictures in AI high school handbook,will be completed in these days
- The learning and production of AI daily signature
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| Zhenyu Zhou
|
- Graduation article
- interspeech paper with zhenghai
- code double check with jiaying
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| Junhui Chen
|
- Read paper about e2e SV / loss (little useful content for NS).
- Continue to think and try other tricks, but no meaningful results yet.
|
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| Jiaying Wang
|
- conditional chain with ctc experiment
- loss decreased slowly in the previous few epochs, almost stop at around -3
- checked the model code: no bug
- test results of these epoch to determine the problem
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| Yu Zhang
|
- Add Backtest report to debate (no improvement)
- Change LLM to DeepSeek R1 70B
- Sharpe Ratio 0.401 (from 0.256), S&P 500 is 0.576.
- Add more quantile factor and information source (still working on this)
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| Wenqiang Du
|
- Continue to check AI primary handbook（done）
- Continue to check AI middle handbook（done）
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| Yang Wei
|
- Finetune text enroll kws model with different accent keyword data.
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| Turi
|
- Thesis writing
- Trained the language model, some bugs when decoding with LM
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| Yue Gu
|
- fine-grained personality-gating method：finish the code and model training，ready to test
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| Qi Qu
|
- Successful porting of text-enroll KWS models (hybrid quantization) to mr536 w/ low precision loss, same RT as previous version (which shows drastic precision loss). [4]
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