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| 第69行： |
第69行： |
| | |Chen Chen | | |Chen Chen |
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| − | * | + | * attend several interviews for job |
| | + | * vii group work [https://z1et6d3xtb.feishu.cn/docx/GwFvdn3nnopuU4xhKUncTxSnnTg?from=from_copylink] |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- Material preparation for Xinhua Net broadcast
- Several public reports
- Review for Electonics and Applied Science
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| Lantian Li
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| Ying Shi
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- verify cohort Overlap ASR assumption
- Identify the speech component which most similar to the cohort vector ✔
- group work
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- cohort + conditional chain Overlap ASR
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| Zhenghai You
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- Speech tests and deliver real test samples for HUAWEI
- Loudness testing and adjustment of Huawei data[1]
- Comparative experiments on data expansion
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| Junming Yuan
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- Continue to add various data augmentation functions into the code
- Prepare for live broadcast
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| Chen Chen
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- attend several interviews for job
- vii group work [2]
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| Xiaolou Li
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- Video mamba exp (good good)
- patch frontend
- conv3d and resnet3d frontend
- Paper reading
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- run exp on LRS2 and LRS3 (waiting for email feedback)
- what is the main difference between these two frontend? (conv3d and resnet3d)
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| Zehua Liu
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- AKVSR (cer:49.71%) > baseline(cer: 48.76%)
- AKVSR + pos_emb (a little worse)
- AKVSR + attention score loss(coding)
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| Pengqi Li
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- Jinfu and LiuHuan's Outlines of NC
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- XueYing's Outline of NC
- NC paper of Speech XAI overview
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| Wan Lin
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| Tianhao Wang
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- Baseline: SpEx+ with Detection (Failed)
- difficult to train because vox2 has a much larger data volume than wsj0
- Toolkit align: lr scheduler, pooling
- pooling seems critical (same epoch, NS loss: ASP is 0.16 vs TSP is 0.22)
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| Zhenyu Zhou
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| Junhui Chen
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- Graduation paper
- Neural Scoring paper writing
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| Jiaying Wang
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| Yu Zhang
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| Wenqiang Du
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| Yang Wei
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- Children MDD challenge
- Refine documentation and prepare material for discuss
- Huilan stuff
- Reduce size of TTS Docker image
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| Lily
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- AIGraph PPT delivery
- Thesis
- Perception Experiment
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| Turi
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- Data Collection
- Class works
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| Yue Gu
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| Qi Qu
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- KWS
- Standardize dataset formats and test routines.
- Data collection and processing.
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