“ASR Status Report 2016-10-31”版本间的差异

2016年11月2日 (三) 01:28的最后版本

Date	People	Last Week	This Week
2016.10.31	Hang Luo	Know the source code of joint training. Experiments on joint training, change the receive computation blocks and try non-symmetric structure.The result expected on this Thursday.	Find paper about joint training to read. Try new experiments according to last two experiments.
	Ying Shi	DNN and TDNN visualization;CNN baseline(th30) new model DNN+lstm(th30);ML-book slide	ML-book continue DNN visualization maybe I should find a new tool t-sne is not powerful enough
	Yixiang Chen	Joint-training (GMM baseline)	Joint-training
	Lantian Li	Joint-training on TASLP (DNN i-vector parts). [1] Joint-training on SRE and LRE (Neural model is over-fitting...). [2]	Joint-training on TASLP. Joint-training on SRE and LRE.
	Zhiyuan Tang	O-COCOSDA 16, Bali.	report for Weekly Reading; finish the additinal experiments of joint learning (speech & spk) for taslp (multi-task, ivector as part of input)[3].

@@ 第9行： / 第9行： @@
 |Hang Luo
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+*  Know the source code of joint training.
+*  Experiments on joint training, change the receive computation blocks and try non-symmetric structure.The result expected on this Thursday.
 ||
-*
+*  Find paper about joint training to read.
-|-
+*  Try new experiments according to last two experiments.
+|-
@@ 第19行： / 第21行： @@
 |Ying Shi
 ||
-*  DNN and TDNN visualization;CNN baseline(th30) new model DNN+lstm(th30);ML-book
+*  DNN and TDNN visualization;CNN baseline(th30) new model DNN+lstm(th30);ML-book [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=shiying&step=view_request&cvssid=569 slide]
 ||
 *  ML-book continue DNN visualization maybe I should find a new tool t-sne is not powerful enough
@@ 第29行： / 第31行： @@
 |Yixiang Chen
 ||
--
+* Joint-training (GMM baseline)
 ||
--
+* Joint-training
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