“2020-07-27”版本间的差异
来自cslt Wiki
Kangjiawen(讨论 | 贡献) |
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(6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 investigation on Maximum Gaussianlity training |
+ | * Reformulate the TASLP paper | ||
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− | * | + | * Complete the MG paper |
+ | * Start working on the condition transfer (CT) paper | ||
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第17行: | 第19行: | ||
|Yunqi Cai | |Yunqi Cai | ||
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− | * | + | *experiments on Gaussian regularization |
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第28行: | 第30行: | ||
|Zhiyuan Tang | |Zhiyuan Tang | ||
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− | * | + | * Adaptation with nf-dt asr. |
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− | * | + | * Continue. |
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第39行: | 第41行: | ||
|Lantian Li | |Lantian Li | ||
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− | * | + | * Compare two MLE methods. |
+ | * Length norm and whitening in NL scoring. | ||
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− | * | + | * Self-learning plus NDA. |
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第50行: | 第53行: | ||
|Ying Shi | |Ying Shi | ||
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− | * | + | * sub space with trainable mean of r code |
− | + | * sub space flow with gauss. mixture r code | |
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− | * | + | * analysis the gaussianlity of r space |
+ | * verify the robustness of sub space flow | ||
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第98行: | 第102行: | ||
|Ruiqi Liu | |Ruiqi Liu | ||
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− | * | + | * revise the paper draft. |
+ | * Multi-genre generalization. | ||
+ | * MC experiments data. | ||
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− | * | + | * MC experiments |
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第108行: | 第114行: | ||
|Haolin Chen | |Haolin Chen | ||
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− | * | + | * Subspace Flow |
+ | ** Noisy r var=1, fixed mean | ||
+ | ** GMM Loss | ||
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− | * | + | * Subspace Flow |
+ | ** Other noise | ||
+ | ** Improve performance | ||
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2020年7月27日 (一) 00:01的最后版本
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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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