| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
|
- Three slides for AIGE to gov and enterprise.
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| Lantian Li
|
- Proofread of the high-school book (Done)
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| Ying Shi
|
- Prepare Ascend Sever environment
- training Conditional Chain overlap ASR model with Hierachical-Transformer here
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| Zhenghai You
|
- Training TSE model for with content enrollment（for Huawei & CSSC(中船) projects）
- Reading papers about refiner
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| Junming Yuan
|
- Finish MPC-HuBERT pretrain.
- Double check the related experimental code.
- MT-HuBERT(in progress) & Cocktail-HuBERT need re-pretrain.
- The results of other baseline in here
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| Xiaolou Li
|
- VSR training (1500h) cnvsrc-single valid 300 CER: 36.14% (not converged)
- Finish pre-processing 4000h data
- get ASR transcript for 4000h data
- Writing NSFC document
|
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| Zehua Liu
|
- Paper Reading and Sharing in last Friday
- Writing Vision Language Model code
- Writing NSFC document
|
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| Pengqi Li
|
- Prepare the AI course for Tsinghua University Junior High School.
- Using t-SNE to visualize the factorized content vector.
- Next step is to color(speaker information importance or not) each point.
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| Wan Lin
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- try some adjustment for clean performance（no improvement）
- supply experiments for other tests
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| Tianhao Wang
|
- sound separation: 2-mix and 3-mix model training
- weekly report
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| Xiaoxue Luo
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- generation of multi-mix audio data and did some test experiments.
- read papers
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| Zhenyu Zhou
|
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| Junhui Chen
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- Reproducing speaker diarization method for NS (debugging...)
- read paper
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| Jiaying Wang
|
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| Yu Zhang
|
- AED:
- Split AED model into two smaller model to detect the human voice in noisy environments and in clean environments separately.
- Trying smaller model (under 200K)
- Multi Agent Investment
- try index enhancement trading, no obvious excess return
|
- try do portfolio investment on some selected big company
- add the debate topic about the logical consistency inside investment decisions.
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| Wenqiang Du
|
- Primary handbook's PPT (24/44)
- Continue to check Primary and middle handbook(Completed this week)
- Speech cloning sample for the company
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| Yang Wei
|
- Tuning text enroll kws model for dialect data with linear layer. (recall: 65%->85%->94%)
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| Turi
|
- Thesis writing
- Result with LM[2]
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| Yue Gu
|
- finish some exps, but nothing is improved.
- finish a proposal，I will present it recently
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| Qi Qu
|
- Applying pre-prod eval routine on text-enroll KWS models: the ideal thresholds for each keyword vary significantly. [3]
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