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| （2位用户的2个中间修订版本未显示） |
| 第20行： |
第20行： |
| | |Lantian Li | | |Lantian Li |
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| − | * | + | * Huawei DiTing 3.0 delivery |
| | + | * BUPT Graduate matters |
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| | * | | * |
| 第117行： |
第118行： |
| | |Tianhao Wang | | |Tianhao Wang |
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| − | * | + | * prepare huawei project meeting (history issues) |
| | + | * investigating some generative based separation model |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- Training for Tsinghua Primary School
- Training for ZhongLv group
- Refine AIGE book for college students
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| Lantian Li
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- Huawei DiTing 3.0 delivery
- BUPT Graduate matters
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| Ying Shi
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| Zhenghai You
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- Some tests of Huawei project(emotion & targetless)
- Revised Huawei report
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| Junming Yuan
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- Extended ASR finetuning exp[1]
- Review Middle-school AI practice handbook(9/20).
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| Xiaolou Li
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- Audit video data
- Improve the speed of inference
- Paper reading
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| Zehua Liu
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- Audio video data check
- help xiaolou to transfer web code to GA server
- Paper reading
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| Pengqi Li
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- Organize a pre-experiment to explore the following questions:
- How to evaluate reliability(some experiment shows reliability)
- How to visualize (but still thinking about how to display the "explanation").
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| Wan Lin
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- multi-scale feature exp: no improvement
- reading paper
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| Tianhao Wang
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- prepare huawei project meeting (history issues)
- investigating some generative based separation model
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| Xiaoxue Luo
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- Use some metrics in audio generation task to evaluate the performance of CLAPSep and our model
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| Zhenyu Zhou
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| Junhui Chen
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- reading paper
- weekly report
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| Jiaying Wang
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- ASR training
- clean data ctc loss converge at 200 (higher than expactation)
- LER have abnormal result：predicted labels tend to concentrate on a few letters, debuging
- Modify the PPT for the hongyan campus competition.
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| Yu Zhang
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- For news and sentiment analysis, use reflection as "condition" instead of as "reference" [2]
- Increase news sources (the abuse of reflection is often found when there is a lack of useful news on that day)
- Adding more benchmark (implementing rule based benchmark in TradingAgents (MACD RSI ... ))
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- Detail Analysis of current backtesting result and check the paper plan with Teacher Li
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| Wenqiang Du
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- Business trip to Changzhou
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| Yang Wei
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- Finish license check module for AIBabel ASR gRPC service.
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| Turi
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| Yue Gu
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- fix a bug about a reproduced method and retrain the model
- polish my introduction according to some suggestions
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| Qi Qu
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- On-device text-enroll KWS demo.
- Problem analysis: performance drop caused by precision loss in quantization. [3]
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