“2020-04-06”版本间的差异

2020年4月7日 (二) 00:16的最后版本

People	This Week	Next Week
Dong Wang	More work on NPCA. Experiments show it works, but I still cannot find a reasonable probabilsitic framework to explain the results Some work on NF-based on MNIST generation, with MSE loss. No good performance is obtained right now.	More investigation on NPCA. If cannot get result, skip it right now. Investigation on conditional NDA. Investigation on approximation power of NF.
Yunqi Cai
Zhiyuan Tang	Phone-ali conditioned NDA. Struct not work yet.	Continue.
Lantian Li	Overview Bayesian scoring methods. Obtain a basic result of NDA scoring on x/i-vector.	Go on study NDA scoring.
Ying Shi	investigate sequential flow (supervise & unsupervise) experiment about linear transfor of z	continue linear transfor of z
Haoran Sun
Yue Fan	Work on the arrangements of cn2 Experimented with gun and nongun on dnf	Do more experiments on dnf for classification
Jiawen Kang	Features extractor code. Calcuate EER.	Multi-genre scoring.
Ruiqi Liu	Study meta-learning experiments and get the EER in different domains. Arrange ASR training tools.	Continue meta-learning experiments.
Sitong Cheng	Get the result of model trained by wsj+ce+je Get the result of model trained by vox+cnceleb	Do something about lid More tests on model trained by vox+ce+je Find the reason of result of EN&CN
Zhixin Liu	Finish infrogan and gmm-ubm	Prepare baseline of language identification
Haolin Chen	Some investigations on sequential flow	Cooperate with Shi Ying on experiments

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 |Zhiyuan Tang
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+* Phone-ali conditioned NDA. Struct not work yet.
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+* Continue.
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@@ 第58行： / 第57行： @@
 |Ying Shi
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+* investigate sequential flow (supervise & unsupervise)
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+* experiment about linear transfor of z
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+* continue linear transfor of z
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@@ 第93行： / 第91行： @@
 |Jiawen Kang
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+* Features extractor code.
+* Calcuate EER.
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+*  Multi-genre scoring.
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@@ 第104行： / 第103行： @@
 |Ruiqi Liu
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+* Study meta-learning experiments and get the EER in different domains.
+* Arrange ASR training tools.
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+* Continue  meta-learning experiments.
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@@ 第116行： / 第115行： @@
 |Sitong Cheng
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+* Get the result of model trained by wsj+ce+je
+* Get the result of model trained by vox+cnceleb
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+* Do something about lid
+* More tests on model trained by vox+ce+je
+* Find the reason of result of EN&CN
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@@ 第127行： / 第129行： @@
 |Zhixin Liu
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+* Finish infrogan and gmm-ubm
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+* Prepare baseline of language identification
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