cslt Wiki - 用户贡献 [zh-cn]

2020-11-30

2020-11-29T23:46:01Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* More investigation on decoupled PLDA
* Travel and presentation in Chongqing
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* More investigation on the noisy PLDA,
* More investigation on within-class variance compression by subspace DNF.
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*
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|Yunqi Cai
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*Full hand Tactile percepetion investigation
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*
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*
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|Zhiyuan Tang
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*
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*
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|Lantian Li
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*
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*
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*
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|Ying Shi
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* analysis about DNF based ASR
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* continue on DNF based ASR
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*
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|Haoran Sun
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* Fdnf by pooling training
* More attempts on voice conversion
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* improve performance of voice conversion on dnf
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*
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|Yue Fan
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* Writing thesis
* Bi-weekly report
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* Baseline improvement
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*
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|Jiao Han
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* Experiment about PLDA scoring verification.
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* Organize experiment results and opening report.
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*
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|Yang Zhang
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*
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*
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|Di Wang
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* Experiment with combinations of LN
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* Continue to experiment
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*
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|Tiankai Zhi
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* sed experiment,prepare ppt.
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* improve the experiment.
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*
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|Huayi Yan
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*
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*
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*
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2020-11-23

2020-11-22T13:40:52Z

Fanyue：

{| class="wikitable"
!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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* Complete CNC paper.
* Complete ASVspoofing lecture.
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* Write d-PLDA paper.
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|Ying Shi
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|Haoran Sun
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|Yue Fan
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* Writing thesis
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* Bi-weekly report
* Baseline improvement
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|Jiao Han
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*
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|Yang Zhang
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|Di Wang
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|Tiankai Zhi
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|Huayi Yan
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2020-11-16

2020-11-15T23:43:29Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Book check
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* Book check
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*
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|Yunqi Cai
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*
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*
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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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*Introduction of the paper
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*Do experiments
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|Jiao Han
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|Yang Zhang
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|Di Wang
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|Tiankai Zhi
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|Huayi Yan
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2020-11-16

2020-11-15T23:43:04Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Book check
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* Book check
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*
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|Yunqi Cai
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*
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*
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*
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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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*The introduction of the paper
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*Do experiments
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|Jiao Han
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*
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|Yang Zhang
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|Di Wang
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|Tiankai Zhi
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|Huayi Yan
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2020-07-06

2020-07-06T00:00:00Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|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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|Yunqi Cai
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*
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*
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|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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|Lantian Li
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|Ying Shi
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|Haoran Sun
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|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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*
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|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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*
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|Ruiqi Liu
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* Paper draft
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* Complete the experiment and modify the paper
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*
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|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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*
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2020-06-29

2020-06-28T23:53:23Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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*
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|Yunqi Cai
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|Zhiyuan Tang
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* Test FFJORD.
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* Back to AEFlow.
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|Lantian Li
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*
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*
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|Ying Shi
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* Gradient based speech enhancement method with Gauss. length norm(x space)
* Gradient based speech enhancement method with Gauss. length norm(z space)
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|Haoran Sun
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|Yue Fan
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*Reproduce the baseline based on MFCC-GMM.
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*Control Variable Experiment
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|Jiawen Kang
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|Ruiqi Liu
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|Sitong Cheng
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|Zhixin Liu
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|Haolin Chen
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* FFJORD hands on and test
* Reviewed papers on unsupervised denoising
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* Investigate other methods
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*
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2020-06-22

2020-06-21T23:59:43Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* More investigation on VAE OT
* Investigation on ODE CNF
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* Subspace DNF paper
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*
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|Yunqi Cai
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*
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*
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|Zhiyuan Tang
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*
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|Lantian Li
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* Polish our TASLP paper.
* Enroll-test mismatch.
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* AE Flow.
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|Ying Shi
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* Speech Enhancement based on AE + Flow
* Gradient based speech enhancement method with Gauss. length norm
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* Report about speech enhancement
* More investigation about AE + Flow + Gauss. length norm
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*
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|Haoran Sun
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*
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*
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|Yue Fan
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*AED report
*Experimental comparison based on ivector
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*Svm&dnf
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*
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|Jiawen Kang
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*
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*
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*
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|Ruiqi Liu
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* More analysis and experiments about CN2.
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* Continue to complete the experiments according to the experiment plan.
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|Sitong Cheng
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*
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*
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|Zhixin Liu
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*
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|Haolin Chen
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* AE Training
* VAE-NMF hands on
* Review papers on Unsupervised SE, OT, Neural ODE
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* Exploration on our method
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*
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2020-06-15

2020-06-14T23:35:50Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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*
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*
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|Yunqi Cai
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|Zhiyuan Tang
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|Lantian Li
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* i-vector, DNF, NDA, CNDA, NJFA.
* Enroll-test mismatch.
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* Polish our TASLP paper.
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|Ying Shi
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|Haoran Sun
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|Yue Fan
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*Experimental program
*Experiment on svm
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*Experiment on different models
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|Jiawen Kang
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|Ruiqi Liu
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|Sitong Cheng
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|Zhixin Liu
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|Haolin Chen
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2020-06-08

2020-06-07T23:57:31Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Complete reviwing ICASSP 20 papers reltaed to speker recognition
* Sick leave
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*
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*
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|Yunqi Cai
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*
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|Zhiyuan Tang
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|Lantian Li
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|Ying Shi
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* M2ASR data
* NMF baseline
* VAE-NMF baseline
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* Our method on GAN
* Energy model
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|Haoran Sun
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*
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*
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|Yue Fan
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*Comparative experiment based on cnc-mdl and audioset-mdl
*Overview of acoustic event detection
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*Experiments on AED
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*
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|Jiawen Kang
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* Finish near-far and channel case.
* Try time-varying code.
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* Finish time-varying experiments.
* Try general method for enroll-test mismatch.
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*
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|Ruiqi Liu
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* Kaldi cnceleb2 experiments.
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* Kaldi cnceleb2 experiments.
* SOTA model experiments on CN-Celeb2.
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|Sitong Cheng
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|Zhixin Liu
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|Haolin Chen
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2020-06-08

2020-06-07T23:56:27Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
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* Complete reviwing ICASSP 20 papers reltaed to speker recognition
* Sick leave
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*
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*
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|Yunqi Cai
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*
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*
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*
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|Zhiyuan Tang
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*
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*
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*
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|Lantian Li
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*
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*
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|Ying Shi
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* M2ASR data
* NMF baseline
* VAE-NMF baseline
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* Our method on GAN
* Energy model
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*
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|Haoran Sun
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*
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*
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*
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|Yue Fan
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*Comparative experiment based on cnc-mdl and audioset-mdl
*Overview of acoustic event detection
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*
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*
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|Jiawen Kang
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*
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*
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*
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|Ruiqi Liu
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* Kaldi cnceleb2 experiments.
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* Kaldi cnceleb2 experiments.
* SOTA model experiments on CN-Celeb2.
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*
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|Sitong Cheng
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*
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*
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|Zhixin Liu
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*
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|Haolin Chen
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*
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*
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*
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2020-06-01

2020-05-31T15:28:29Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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*
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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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* finish new flow with both postive samples and negative samples
* finish RPCA baseline
* finish energy model
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* M2ASR data
* NMF baseline
* finish VAE-NMF baseline
* review more paper about speech enhancement
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*
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|Haoran Sun
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*
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*
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*
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|Yue Fan
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*Experiments on mdl-cnc based gun vector
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*Train the acoustic space with existing audioset data
*Review of Acoustic Scene Classification
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*
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|Jiawen Kang
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|Ruiqi Liu
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|Sitong Cheng
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|Zhixin Liu
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|Haolin Chen
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*
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*
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*
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2020-05-25

2020-05-24T23:57:15Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

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|Dong Wang
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* Some experiments with flow-based denoising: GMM-based noise model, spectrum flow criterion.
* Some literature reivew with deep denoising methods
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* More literature reivew for denosing
* More literature review/theory design for NDA.
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*
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|Yunqi Cai
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*
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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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* Check cn2
* Gun data preparation
* Do exprintments on mdl-cn
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* Perform more experiments on gunshot recognition with speaker recognition
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*
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|Jiawen Kang
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* Organize meta-learning code
* Check cn2
* Prepare shared PPT
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* Prepare cross-channel and near-far data.
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*
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|Ruiqi Liu
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*
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* Kaldi baseline experiments on cn2.
* Get some information about speakers to analyze cn2.
* Other experiments.
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*
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|Sitong Cheng
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*
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*
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|Zhixin Liu
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*
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|Haolin Chen
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*
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*
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*
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2020-05-18

2020-05-18T23:33:34Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

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|Dong Wang
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* Interspeech: GOP analysis, MAML analysis
* NFSC proposal
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* Foundation of nueral Bayeisan theory
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*
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|Yunqi Cai
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*
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*
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|Zhiyuan Tang
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*
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*
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|Lantian Li
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* Write INTERSPEECH paper.
* More Exp. on NDA analysis.
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*
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*
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|Ying Shi
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* norm flow model with raw signal feature
* 4 prior enhancement methods on raw signal feature
* investigate about why 0 tensor always get higher likelihood score
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* continue investigate prior methods
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*
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|Haoran Sun
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*
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*
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*
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|Yue Fan
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* Prepare the data needed for the new experiments
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*Determine the specific experiment plan
*Data preprocessing
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*
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|Jiawen Kang
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* Finish interspeech paper.
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* Make cnceleb2.
* Prepare the next task.
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*
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|Ruiqi Liu
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* Interspeech paper.
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* Solve some ASR Model problems raised by Hualai and Shengyuan companies last week.
* .
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*
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|Sitong Cheng
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* Complete expriments of Interspeech.
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* Have to study school work
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*
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|Zhixin Liu
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* Complete experiments of Interspeech.
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* Prepare final exam
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*
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|Haolin Chen
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*
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*
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*
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|}

2020-05-11

2020-05-10T18:14:34Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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*
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*
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*
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|Yunqi Cai
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*
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*
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*
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|Zhiyuan Tang
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*
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*
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*
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|Lantian Li
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* More study on LDA, PLDA and NDA.
* INTERSPEECH paper.
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* INTERSPEECH paper.
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*
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|Ying Shi
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*
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*
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*
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|Haoran Sun
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*
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*
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*
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|Yue Fan
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* Summarization of data information
* presentation of icassp
* Redownloaded the gunshot data on youtube
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* Prepare the data needed for the new experiments
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*
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|Jiawen Kang
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*
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|Ruiqi Liu
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|Sitong Cheng
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|Zhixin Liu
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|Haolin Chen
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*
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*
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*
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|}

2020-04-27

2020-04-26T15:47:49Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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*
*
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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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* Get 1000-people data
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*Complete the data collection of cn-celeb2
*Continue the experiments of gun detection
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*
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|Jiawen Kang
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*
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*
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|Ruiqi Liu
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|Sitong Cheng
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|Zhixin Liu
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|Haolin Chen
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2020-04-20

2020-04-19T13:29:24Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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*
*
*
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*
*
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|Yunqi Cai
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*
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|Zhiyuan Tang
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|Lantian Li
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|Ying Shi
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*
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|Haoran Sun
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*
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*
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*
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|Yue Fan
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* Download all the data of cn2
* Processed 90% of data
* Make poster and video of Icassp
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* Get 1000-people data
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*
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|Jiawen Kang
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*
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*
||
*
|-

|-
|Ruiqi Liu
||
*
||
*
*
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
*
||
*
||
*
|-

|}

2020-04-20

2020-04-19T13:28:33Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
*
*
*
||
*
*
||
*
|-

|-
|Yunqi Cai
||
*
*
*
||
*
*
||
*
|-

|-
|Zhiyuan Tang
||
*
*
||
*
||
*
|-

|-
|Lantian Li
||
*
*
||
*
||
*
|-

|-
|Ying Shi
||
*
*
||
*
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
* Download all the data of cn2
* Processed 90% of the cn data
* Make poster and video of Icassp
||
* Get 1000-people data
||
*
|-

|-
|Jiawen Kang
||
*
||
*
||
*
|-

|-
|Ruiqi Liu
||
*
||
*
*
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
*
||
*
||
*
|-

|}

2020-04-06

2020-04-06T23:41:59Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|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
||
*
*
||
*
||
*
|-

|-
|Lantian Li
||
* Overview Bayesian scoring methods.
* Obtain a basic result of NDA scoring on x/i-vector.
||
* Go on study NDA scoring.
||
*
|-

|-
|Ying Shi
||
*
*
||
*
*
||
*
|-

|-
|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
||
*
||
*
||
*
|-

|-
|Ruiqi Liu
||
*
||
*
*
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
*
||
*
||
*
|-

|}

文件:微信图片 20200330015135.jpg

2020-03-29T16:34:06Z

Fanyue：

文件:微信图片 20200330015124.jpg

2020-03-29T16:29:41Z

Fanyue：

文件:微信图片 20200330015116.jpg

2020-03-29T16:27:44Z

Fanyue：

文件:微信图片 20200330015039.jpg

2020-03-29T16:25:16Z

Fanyue：

2020-03-30

2020-03-29T16:20:34Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* Did some experiments on VAE Bayes score
* Apply NDA to xvector's deep normlization
* Investigate the literature on Deep generative model
||
* keep on literature Investigation
* Give some consistent reults on NDA-xvector deep normlization
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
* Data collection
* Program processing
||
*Train dnf model with gun&nongun and test
||
*
|-

|-
|Jiawen Kang
||
*
||
*
||
*
|-

|-
|Ruiqi Liu
||
*
||
*
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|}

2020-03-23

2020-03-22T23:49:19Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* More investigation on subspace DNF.
* Coine the NDA theory, passed some simulation tests.
* Some ideas on Beyasian scoring and closed-form training for variational Bayes.
* Drafted the channel-transform paper
||
* More investigation on subspace DNF & NDA. They look closely connected.
||
*
|-

|-
|Yunqi Cai
||
* Some experiments on EBMs model
* Modify the DNF patent
* Coding on VAE based bayes score model
||
* More experiments of VAE based bayes score model
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* Summarize result about current model.
* more analysis about speech enhancement via Flow
||
* More experiments based on current result
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
*Looking for data sources
*Upload data and program processing
||
*Solve the remaining data collection issues
*Processing 500 people with the pipeline program
||
*
|-

|-
|Jiawen Kang
||
* Speaker vector distribution experiments.
* Arranging tf-kaldi codes.
||
* Runing meta learning experiments.
||
*
|-

|-
|Ruiqi Liu
||
* Arrang experiments code and observe the distribution of speakers in different scenes.

||
* Learn mate-learning and do experiments.
||
*
|-

|-
|Sitong Chengs
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|}

2020-03-16

2020-03-15T18:07:32Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* investigate energy model
||
* investigate energy model on NL socre
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
*Complete half of the data collection
*Promotion of crawler tools
||
*Simultaneously work on the data download and pipeline process of cn2
*Train dnf model with gun&nongun and test
||
*
|-

|-
|Jiawen Kang
||
*
||
*
||
*
|-

|-
|Ruiqi Liu
||
*
||
*
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
* Train double glow with white-noised TIMIT, mel sprctrogram
* Replace noisy model in double glow with VAE
* Full evaluation using PESQ, STOI, fwsegSNR on white-noised test data
||
* Summarize result
* Prepare paper
||
*
|-

|}

2020-03-09

2020-03-08T17:13:05Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*
||
*
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|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
||
*
||
*
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|}

2020-03-02

2020-03-02T00:06:03Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Mostly completed the investigation on normalized scoring and complted the draft article
* Investigated the DNF with simulation data
||
* Keep on investigating the DNF model with simulation data
* Coin some new approach for SID scoring, motivated by the NL interpertation of PLDA.
||
*
|-

|-
|Yunqi Cai
||
* Finished patent
* Investigate the total covariance constrain of DNF and showed some results
* Preparing the weekly paper report
||
* More investigation on DNF
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
* Submit DNF patent.
* Complete DNF repository.
* Start frame-level DNF-SRE training.
||
* Go on DNF-SRE.
||
*
|-

|-
|Ying Shi
||
* verify mel spectrum on DAE and double flow
* train DAE and Double Flow(different layer and different flow type ) with spectrum feats(6 kinds of noise with random snr).
* compute SDR and PESQ of DAE and Double Flow
||
* verify the result
* compute fwSNR
* build more powerfull DAE baseline and flow model
||
*
|-

|-
|Wenqiang Du
||
*Using the add noise、 spec-argument 、attention to improve model performance in different device channel
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
*Build the baseline models
*Derive model formula
||
*Optimize model structure
||
*
|-

|-
|Jiawen Kang
||
* Collect cnceleb speaker-birth map.
* Finish length, age and 11*11 geners experiments.
||
* Make some distribution figures for different speakers and geners.
* Design Cross-channel experiments.
||
*
|-

|-
|Ruiqi Liu
||
* Experiments on CN-Celeb different scenes and different length .
* Continue training the model.
||
* More experiments for different speakers and scenes.
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
* Double WaveGlow on noisy TIMIT
* Test performance of Double Glow
* Optimize model structure
||
* Comprehensive evaluation on two models
||
*
|-

|}

2020-03-02

2020-03-02T00:05:12Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Mostly completed the investigation on normalized scoring and complted the draft article
* Investigated the DNF with simulation data
||
* Keep on investigating the DNF model with simulation data
* Coin some new approach for SID scoring, motivated by the NL interpertation of PLDA.
||
*
|-

|-
|Yunqi Cai
||
* Finished patent
* Investigate the total covariance constrain of DNF and showed some results
* Preparing the weekly paper report
||
* More investigation on DNF
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
* Submit DNF patent.
* Complete DNF repository.
* Start frame-level DNF-SRE training.
||
* Go on DNF-SRE.
||
*
|-

|-
|Ying Shi
||
* verify mel spectrum on DAE and double flow
* train DAE and Double Flow(different layer and different flow type ) with spectrum feats(6 kinds of noise with random snr).
* compute SDR and PESQ of DAE and Double Flow
||
* verify the result
* compute fwSNR
* build more powerfull DAE baseline and flow model
||
*
|-

|-
|Wenqiang Du
||
*Using the add noise、 spec-argument 、attention to improve model performance in different device channel
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
*Build the baseline models
*Derive model formula
||
*Optimize model structure||
*
|-

|-
|Jiawen Kang
||
* Collect cnceleb speaker-birth map.
* Finish length, age and 11*11 geners experiments.
||
* Make some distribution figures for different speakers and geners.
* Design Cross-channel experiments.
||
*
|-

|-
|Ruiqi Liu
||
* Experiments on CN-Celeb different scenes and different length .
* Continue training the model.
||
* More experiments for different speakers and scenes.
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
* Double WaveGlow on noisy TIMIT
* Test performance of Double Glow
* Optimize model structure
||
* Comprehensive evaluation on two models
||
*
|-

|}

2020-03-02

2020-03-01T16:41:11Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*
||
*
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
* Submit DNF patent.
* Complete DNF repository.
* Start frame-level DNF-SRE training.
||
* Go on DNF-SRE.
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
*Build the baseline models
*Learn to use kaldi
||
*Optimize the baseline models
||
*
|-

|-
|Jiawen Kang
||
* Collect cnceleb speaker-birth map.
* Finish length, age and 11*11 geners experiments.
||
* Make some distribution figures for different speakers and geners.
* Design Cross-channel experiments.
||
*
|-

|-
|Ruiqi Liu
||
*
||
*
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
* Double WaveGlow on noisy TIMIT
* Test performance of Double Glow
* Optimize model structure
||
* Comprehensive evaluation on two models
||
*
|-

|}

2020-02-24

2020-02-24T00:45:35Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Investigate between-class regularization, experiemnted with moment match
* Investigate cosine and l2 distance, re-visit the l2-based scoring.
||
* More investigation on l2 scoring
* Contiue draft on DNF properties.
||
*
|-

|-
|Yunqi Cai
||
* Writing the patent of DNF
* Test new code of DNF
* Investigate the total covariance constrain of DNF
||
* Finish the patent today
* Process the experiment data of total covariance constrain
||
*
|-

|-
|Zhiyuan Tang
||
* Analyse the structure of glow for disentanglement.
||
* Analyse more steady noise for BP denoising.
||
*
|-

|-
|Lantian Li
||
* Update frame-based DNF repository.
** Modify class_mean initialization.
** Update Container for class mean update.
** Update visualization tools.
||
* Start subspace DNF.
||
*
|-

|-
|Ying Shi
||
* DEA baseline
* compare DEA and Double Flow on spectrum level
||
* compare DEA and Double Flow on SDR level
* semi-supervise Double Flow
* verification the denoise ability on unsteady noise of Double Flow
||
*
|-

|-
|Wenqiang Du
||
* Verify the differences in model performance between audio recordings on different devices
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
*Baseline line of svm
*Data download
||
*Baseline line of svm&gmm
*Experiments on dnf
||
*
|-

|-
|Jiawen Kang
||
* Make scripts to calculate subset EER;
* Continiue model experiments;
* Paper introduction part.
||
* Length and age EER;
* Continiue model experiments;
||
*
|-

|-
|Ruiqi Liu
||
* Continue training the model.
* Experiments on CN-Celeb different scenes.
* Experiments on CN-Celeb different genders.
||
* Go on the task1.
* Experiments on CN-Celeb different length.
* Prepare paper writing.
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
* Try Double Flow(Glow) with spectrogram as input, conditional/without condition.
||
* Evaluation.
* Optimize model structure.
||
*
|-

|}

2020-02-17

2020-02-17T00:09:50Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Code cleaning for DNF
* More review on DNF theory
* More review on speech enhancement with deep generative models
||
* More investigation on subspace DNF
* Draft paper for DNF properties
||
*
|-

|-
|Yunqi Cai
||
* retest the plda score(lenth norm false)
* train and test sota xvector
||
* more investigation on Between class var of DNF
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
* Update SOTA.
* Complete NF + LDA/PLDA.
||
* DNF + LDA/PLDA
||
*
|-

|-
|Ying Shi
||
* double flow denoise experiment and visualization
* DAE baseline
||
* DAE baseline
* timit ASR baseline
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
*Arrange the work of the CN2
||
*baseline on svm&gmm
||
*
|-

|-
|Jiawen Kang
||
* Prepare SOTA vectors
* Prepare CNceleb as test set
* Continute experiments
||
* Continute experiments
* evaluatte models on diffierent geners
* Prepare paper writing
||
*
|-

|-
|Ruiqi Liu
||
*
||
*
||
*
|-

|-
|Sitong Cheng
||
* modify DNF code
||
* prepare paper writing
* step 2&3 with DNF
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|}

文件:Logz.jpg

2020-01-16T13:12:18Z

Fanyue：

文件:Logx.jpg

2020-01-16T13:11:29Z

Fanyue：

文件:Logdet.jpg

2020-01-16T13:03:16Z

Fanyue：

文件:Shr logz.jpg

2020-01-10T12:39:54Z

Fanyue：

文件:Shr logdet.jpg

2020-01-10T12:39:21Z

Fanyue：Fanyue上传“文件:Shr logdet.jpg”的新版本

文件:Shr logdet.jpg

2020-01-10T12:32:44Z

Fanyue：

文件:Shr logx.jpg

2020-01-10T12:31:41Z

Fanyue：

文件:Fy logz.jpg

2020-01-10T12:30:26Z

Fanyue：

文件:Fy logdet.jpg

2020-01-10T12:29:24Z

Fanyue：

文件:Fy logx.jpg

2020-01-10T12:18:06Z

Fanyue：

文件:Flow likelihood0107.png

2020-01-07T09:07:42Z

Fanyue：

文件:Likelihood0107.jpg

2020-01-07T08:39:05Z

Fanyue：

2020 Spring Festival

2020-01-02T02:44:35Z

Fanyue：

{| class="wikitable"
!People !! Start time !! End time
|-

|-
|Dong Wang
||

||

|-

|-
|Yunqi Cai
||
2020.1.23
||
还未抢到票
|-

|-
|Zhiyuan Tang
||

||

|-

|-
|Lantian Li
||
2020.1.22
||
2020.2.1
|-

|-
|Ying Shi
||
2020.1.19
||

|-

|-
|Wenqiang Du
||
2020.1.16
||
2020.2.02
|-

|-
|Haoran Sun
||
2020.1.19
||
2020.2.2
|-

|-
|Yue Fan
||
2020.1.16
||
2020.2.2
|-

|-
|Jiawen Kang
||
2020.1.19
||

|-

|-
|Ruiqi Liu
||
2020.1.19
||

|-

|-
|Sitong Cheng
||

||

|-

|-
|Zhixin Liu
||
2020.1.21
||
2020.2.5
|-

|}

文件:Z.jpg

2019-12-31T13:24:22Z

Fanyue：

文件:Fy z.jpg

2019-12-31T13:20:44Z

Fanyue：Fanyue上传“文件:Fy z.jpg”的新版本

文件:Fy z.jpg

2019-12-31T13:18:50Z

Fanyue：

文件:X.jpg

2019-12-31T13:12:36Z

Fanyue：

2019-12-16

2019-12-16T00:13:14Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Draft the DNF paper
* Investigate the difference between Fisher LDA and ML LDA.
* Design PNLDA model
||
* Complete and submit the DNF paper
* More investigation on VP and NVP based Gaussian information squeezing
||
*
|-

|-
|Yunqi Cai
||
* Test LDA-flow experiments on different dataset
||
*prepare the paper
||
*
|-

|-
|Zhiyuan Tang
||
*
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* the patent about denoise via flow
* denoise experiment
||
* finish the patent
* a new structure about denoise
||
*
|-

|-
|Wenqiang Du
||
* Experiment for my mentor's idear
||
* Review the paper about bandwidth extension in ICASSP2019 and Interspeech2019
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
* 东欧expriment
|-

|-
|Yue Fan
||
* Model training and testing
||
* do experiments on model
|
*
|-

|-
|Jiawen Kang
||
*Fix some code of tf-kaldi;
*Get the 3 experiments results, cvss will be updated soon when it is accessible;
*Attend the interview.
||
*Finish more experiments.
||
*
|-

|-
|Ruiqi Liu
||
*Three experiments with CN-Celeb and VoxCeleb.
||
*Continue to do experiments.
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|}

2019-12-09

2019-12-09T00:13:12Z

Fanyue：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* MelGan and WaveGlow re-investigation. Good neural vocoder is done.
* Paper review on ICASSP 19, Interspeech 19.
||
* Investigate the performance degradation with pure VP-based x-vector regularization compared to the VP+linear model
* Design more concrete way of 'supervised flow', that involves supervision in sparse dimensions.
* Paper review on NIPS 19.
||
*
|-

|-
|Yunqi Cai
||
* VP-flow-lda Finished;
||
* 1 try VP-flow without the last layer maping matrix
* 2 control the class covariance matrix
* 3 explore the fitting limit of VP-flow
||
*
|-

|-
|Zhiyuan Tang
||
* WaveGlow model for audio augmentation.
||
* Test whether the aug helps ASR/VPR.
||
*
|-

|-
|Lantian Li
||
* Fix bugs in fnvpr, and release vpr product packages.
* Pull request egs of CN-Celeb.
* Study on flow models.
||
* Hire-Flow
||
*
|-

|-
|Ying Shi
||
* experiment about flow denoise
||
* finish the experiment and record it on cvss
* write patent
||
*
|-

|-
|Wenqiang Du
||
* Model parameter adjustment about my graduation thesis
||
* End2end in my graduation thesis
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Yue Fan
||
* experiments on flow
||
* do the experiments and record it on cvss
||
*
|-

|-
|Jiawen Kang
||
* Sent materials to CUHK;
* Reading paper about model robustness;
* Kaldi egs checking.
||
* Experiences about CN-Celeb;
* Preparing for CUHK inverview.
||
*
|-

|-
|Ruiqi Liu
||
* Do experiments on CN-Celeb egs and VGG.
* tf-kaldi
||
* Experiences according to last week's plan
||
*
|-

|-
|Sitong Cheng
||
*
||
*
||
*
|-

|-
|Zhixin Liu
||
*
||
*
||
*
|-

|}