“2020-03-09”版本间的差异

2020年3月9日 (一) 00:05的最后版本

People	This Week	Next Week
Dong Wang	Almost finished the simulation test for NL Completed proof of several important properties of NL	Complete the draft of NL paper More investigation on subspace DNF
Yunqi Cai	Reading papers about SRE back-end score method and Energy based models	Run experiment on EBMs
Zhiyuan Tang	Basic glow for speech normalization. Multi-conditioned glow, on phones first.	Conditioned glow.
Lantian Li	Basic result on subspace DNF. Study on NL scoring.	NL scoring.
Ying Shi	Double AutoEncoder baseline compute fwSNR	compare fwSNR between Double AutoEncoder Double Flow and DAE experiment about semi-supervise Double Flow verify the denoise result via ASR system
Wenqiang Du	Prepare materials for graduation
Haoran Sun
Yue Fan	Optimize baseline model Supplement glow experiment Test the crawler code	Do experiments on dnf Complete CN2‘s data download
Jiawen Kang	Investigation on adaptation. Arranging experiment results.	Learning mate-learning.
Ruiqi Liu	More experiments for different speakers and scenes. Continue training the model.	Learn Mate-learning，Domain adaptation.
Sitong Cheng
Zhixin Liu
Haolin Chen	Optimize double glow model structure Calc metrics	Verify denoising for ASR

@@ 第6行： / 第6行： @@
 |Dong Wang
 ||
-*
+* Almost finished the simulation test for NL
+* Completed proof of several important properties of NL
 ||
-*
+* Complete the draft of NL paper
+* More investigation on subspace DNF
 ||
 *
@@ 第17行： / 第19行： @@
 |Yunqi Cai
 ||
-*
+* Reading papers about SRE back-end score method and Energy based models
 ||
-*
+* Run experiment on EBMs
 ||
 *
@@ 第28行： / 第30行： @@
 |Zhiyuan Tang
 ||
-*
+* Basic glow for speech normalization.
+* Multi-conditioned glow, on phones first.
 ||
-*
+* Conditioned glow.
 ||
 *
@@ 第39行： / 第42行： @@
 |Lantian Li
 ||
-*
+* Basic result on subspace DNF.
+* Study on NL scoring.
 ||
-*
+* NL scoring.
 ||
 *
@@ 第50行： / 第54行： @@
 |Ying Shi
 ||
-*
+* Double AutoEncoder baseline
+* compute fwSNR
 ||
-*
+* compare fwSNR between Double AutoEncoder Double Flow  and DAE
+* experiment about semi-supervise Double Flow
+* verify the denoise result via ASR system
 ||
 *
@@ 第109行： / 第116行： @@
 |Ruiqi Liu
 ||
-*
+* More experiments for different speakers and scenes.
+* Continue training the model.
 ||
-*
+* Learn Mate-learning，Domain adaptation.
 ||
 *
@@ 第138行： / 第146行： @@
 |-
+|-
+|Haolin Chen
+||
+* Optimize double glow model structure
+* Calc metrics
+||
+* Verify denoising for ASR
+||
+*
+|-
 |}