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| （2位用户的3个中间修订版本未显示） |
| 第72行： |
第72行： |
| | |Chen Chen | | |Chen Chen |
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| − | * | + | * Finish thesis v1 |
| | + | * group work [https://z1et6d3xtb.feishu.cn/docx/YMiLdBy4Yo59ITxmoYDcCfdMnBf?from=from_copylink] |
| | + | || |
| | + | * refine thesis |
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| | * | | * |
| − | ||
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| − | *
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| 第83行： |
第84行： |
| | |Xiaolou Li | | |Xiaolou Li |
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| − | * | + | * reproduce VSR structures |
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| | * | | * |
| 第166行： |
第167行： |
| | |Jiaying Wang | | |Jiaying Wang |
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| − | * | + | * Huawei Project |
| | + | * icassp 2024 paper selection |
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| − | * | + | * speakerbeam + ResNet [-10,4] |
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| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- NeuralMag paper finalization
- Review on TALIP
- Design for AI primary education
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| Lantian Li
|
- GPU status [1]
- Submit three delivery packages (KTV-TSE, Bullying-D, SpeechActivity-D).
- ASIP-BUPT (NeuralScoring [with MixT/MFA], CohortTSE)
|
- AI course series
- New machine (rabbit04)
|
|
| Ying Shi
|
- got sick and was unable to complete most of my work as expected
- Finish Chinese Overlap ASR Model training
- Detect wake-up words from Continuous speech still in the training process
- group work
|
- Finish wake-up Model
- deliver ASR model and wake-up model
- Finish draft of SPL paper....
|
|
| Zhenghai You
|
- Huawei project[2]
- Minimal loss without cohort
|
|
|
| Junming Yuan
|
- Experimental report on "learn not to listen" v3[3]
|
|
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| Chen Chen
|
- Finish thesis v1
- group work [4]
|
|
|
| Xiaolou Li
|
|
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| Zehua Liu
|
- try many distillation ways[5]
|
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| Pengqi Li
|
- summary[6] of speech processing XAI for NSFC
- finished structure and almost content
|
- polish, reference, tables
|
|
| Wan Lin
|
- Neural Scoring
- Adjust the training and testing phase of mutil-speaker tasks
- Design of the new architecture
- Graduation paper
|
|
|
| Tianhao Wang
|
- EA-ASP (from SJTU) reproducing
- data preparation
- EA-ASP implement
|
|
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| Zhenyu Zhou
|
|
|
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| Junhui Chen
|
- reproduce frequency-channel attention for Neural Scoring
|
|
|
| Jiaying Wang
|
- Huawei Project
- icassp 2024 paper selection
|
- speakerbeam + ResNet [-10,4]
|
|
| Yu Zhang
|
- SAC training
- R2-SAC adapted database build (2020 - 2023, benchmark and stocks)
|
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| Wenqiang Du
|
- Try to find the reasons why the offline testing and online running of the model have different effects
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| Yang Wei
|
- Train ASR model for children mispronunciation detection and diagnosis task.
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| Lily
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| Turi
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- Text data collection
- Pdf documents
- News articles from official news website
- Course work
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