“2024-04-01”版本间的差异
来自cslt Wiki
(17位用户的22个中间修订版本未显示) | |||
第6行: | 第6行: | ||
|Dong Wang | |Dong Wang | ||
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− | * | + | * NeuralMag paper finalization |
+ | * Review on TALIP | ||
+ | * Design for AI primary education | ||
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第17行: | 第19行: | ||
|Lantian Li | |Lantian Li | ||
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− | * | + | * GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh] |
+ | * Submit three delivery packages (KTV-TSE, Bullying-D, SpeechActivity-D). | ||
+ | * ASIP-BUPT (NeuralScoring [with MixT/MFA], CohortTSE) | ||
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− | * | + | * AI course series |
+ | * New machine (rabbit04) | ||
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第28行: | 第34行: | ||
|Ying Shi | |Ying Shi | ||
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− | * | + | * 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 | ||
+ | * [https://z1et6d3xtb.feishu.cn/wiki/OfyEwaqjkiCRmGk1Cl0cZKGEnIT?from=from_copylink group work ] | ||
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− | * | + | * Finish wake-up Model |
+ | * deliver ASR model and wake-up model | ||
+ | * Finish draft of SPL paper.... | ||
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第39行: | 第50行: | ||
|Zhenghai You | |Zhenghai You | ||
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− | * | + | * Huawei project[https://z1et6d3xtb.feishu.cn/wiki/VOF4wORTWiw7tZkD3M4cZFkInOe] |
+ | * Minimal loss without cohort | ||
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第49行: | 第61行: | ||
|Junming Yuan | |Junming Yuan | ||
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− | * | + | * Experimental report on "learn not to listen" v3[https://z1et6d3xtb.feishu.cn/docx/WHgkdMukWotL6cxpT5YcDy6rnbd] |
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第60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] | ||
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+ | * refine thesis | ||
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第71行: | 第84行: | ||
|Xiaolou Li | |Xiaolou Li | ||
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− | * | + | * reproduce VSR structures |
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第82行: | 第95行: | ||
|Zehua Liu | |Zehua Liu | ||
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− | * | + | * try many distillation ways[https://z1et6d3xtb.feishu.cn/docx/ZaTFd3A5EoK982xWBVschloanee?from=from_copylink] |
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第93行: | 第106行: | ||
|Pengqi Li | |Pengqi Li | ||
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− | * | + | * summary[https://z1et6d3xtb.feishu.cn/docx/Mt46dqE8UoBnuBxu7q8cPletnzb] of speech processing XAI for NSFC |
+ | ** finished structure and almost content | ||
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− | * | + | * polish, reference, tables |
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第104行: | 第118行: | ||
|Wan Lin | |Wan Lin | ||
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− | * | + | * Neural Scoring |
+ | ** Adjust the training and testing phase of mutil-speaker tasks | ||
+ | ** Design of the new architecture | ||
+ | * Graduation paper | ||
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第115行: | 第132行: | ||
|Tianhao Wang | |Tianhao Wang | ||
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− | * | + | * EA-ASP (from SJTU) reproducing |
+ | ** data preparation | ||
+ | ** EA-ASP implement | ||
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第126行: | 第145行: | ||
|Zhenyu Zhou | |Zhenyu Zhou | ||
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− | * | + | *Baseline design[https://z1et6d3xtb.feishu.cn/docx/BywjdkGvNou12sxQ4dAcxYa9noh] |
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第137行: | 第156行: | ||
|Junhui Chen | |Junhui Chen | ||
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− | * | + | * reproduce frequency-channel attention for Neural Scoring |
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第148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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第159行: | 第179行: | ||
|Yu Zhang | |Yu Zhang | ||
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− | * | + | * SAC training |
+ | * R2-SAC adapted database build (2020 - 2023, benchmark and stocks) | ||
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第170行: | 第191行: | ||
|Wenqiang Du | |Wenqiang Du | ||
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− | * | + | * Try to find the reasons why the offline testing and online running of the model have different effects |
+ | ** almost fix [https://z1et6d3xtb.feishu.cn/docx/S67Dd7TVNoNKEaxELiXc7qE6nrd?from=from_copylink] | ||
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第181行: | 第204行: | ||
|Yang Wei | |Yang Wei | ||
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− | * | + | * Train ASR model for children mispronunciation detection and diagnosis task. |
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第192行: | 第215行: | ||
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* Data Analysis | * Data Analysis | ||
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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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2024年4月1日 (一) 11:02的最后版本
People | This Week | Next Week | Task Tracking (DeadLine) |
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Dong Wang |
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Lantian Li |
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Ying Shi |
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Zhenghai You |
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Junming Yuan |
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Chen Chen |
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Xiaolou Li |
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Zehua Liu |
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Pengqi Li |
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Wan Lin |
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Tianhao Wang |
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Zhenyu Zhou |
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Junhui Chen |
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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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Lily |
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Turi |
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