“2020-07-06”版本间的差异
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(以“{| class="wikitable" !People !! This Week !! Next Week !! Task Tracking (<font color="red">DeadLine</font>) |- |- |Dong Wang || * || * || * |- |- |Yunqi Cai...”为内容创建页面) |
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(7位用户的7个中间修订版本未显示) | |||
第6行: | 第6行: | ||
|Dong Wang | |Dong Wang | ||
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− | * | + | * More deisgn on prior-based denoising |
+ | * Investigation on the optimum of NL with respect to liklihood ratio test | ||
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− | * | + | * Complete the deepnorm2 paper |
+ | * Continue on the neural Bayes book | ||
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第28行: | 第30行: | ||
|Zhiyuan Tang | |Zhiyuan Tang | ||
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− | * | + | * BetaFlow. |
+ | * Layer-by-layer training for flow. | ||
+ | * Det-constant flow. | ||
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− | * | + | * Analyse det-constant (mostly 1) flow. |
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第39行: | 第43行: | ||
|Lantian Li | |Lantian Li | ||
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− | * | + | * Enroll-test mismatch (data collection) |
+ | * PyPLDA | ||
+ | * Deisgn on flow-based scoring. | ||
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− | * | + | * Flow-based scoring. |
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第50行: | 第56行: | ||
|Ying Shi | |Ying Shi | ||
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− | * | + | * BP + length norm enhancement method |
− | + | * Sub space flow | |
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− | * | + | * Continue on Sub space flow |
+ | ** Mult-SRN variance | ||
+ | ** Cyclie loss | ||
+ | * Sub space flow plan B | ||
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第73行: | 第82行: | ||
|Yue Fan | |Yue Fan | ||
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− | * | + | *Baseline for sound event detection |
+ | *CN 's MP4 files organization | ||
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− | * | + | *Experiments with different data and models |
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第84行: | 第94行: | ||
|Jiawen Kang | |Jiawen Kang | ||
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− | * | + | * Write multi-condition paper. |
− | * | + | * Arrange near-far data. |
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− | * | + | * Arrange cross-channel data. |
− | * | + | * Modify code for new data. |
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第97行: | 第107行: | ||
|Ruiqi Liu | |Ruiqi Liu | ||
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− | * | + | * Paper draft |
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− | * | + | * Complete the experiment and modify the paper |
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第107行: | 第117行: | ||
|Haolin Chen | |Haolin Chen | ||
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− | * | + | * FFJORD/Glow test on BP denoising |
+ | * Review papers on self-supervised learning in speech processing | ||
+ | * Prepare for the report | ||
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− | * | + | * Subspace method for denoising |
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2020年7月6日 (一) 00:04的最后版本
People | This Week | Next Week | Task Tracking (DeadLine) |
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Dong Wang |
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Yunqi Cai |
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Zhiyuan Tang |
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Lantian Li |
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Ying Shi |
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Haoran Sun |
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Yue Fan |
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Jiawen Kang |
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Ruiqi Liu |
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Haolin Chen |
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