ASR:2015-06-08 - 版本历史

Zxw：/* Speech Processing */

2015-06-10T07:59:27Z

‎Speech Processing

Lr：/* pair-wise LM */

2015-06-08T01:20:51Z

‎pair-wise LM

Lr：/* Text Processing */

2015-06-08T01:20:40Z

‎Text Processing

Lr：/* Text Processing */

2015-06-08T01:19:41Z

‎Text Processing

Lr：以“==Speech Processing == === AM development === ==== Environment ==== * grid-15 and grid-11 run slowly or do not work ==== RNN AM==== * details at http://liuc.cslt.o...”为内容创建页面

2015-06-08T01:14:59Z

以“==Speech Processing == === AM development === ==== Environment ==== * grid-15 and grid-11 run slowly or do not work ==== RNN AM==== * details at http://liuc.cslt.o...”为内容创建页面

新页面

==Speech Processing ==
=== AM development ===

==== Environment ====
* grid-15 and grid-11 run slowly or do not work

==== RNN AM====
* details at http://liuc.cslt.org/pages/rnnam.html
* Test monophone on RNN using dark-knowledge --Chao Liu
* run using wsj,MPE --Chao Liu
* run bi-directon --Chao Liu
* train RNN with dark knowledge transfer on AURORA4 --zhiyuan
:*http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zxw&step=view_request&cvssid=383--zhiyuan

==== Mic-Array ====
* hold
* Change the prediction from fbank to spectrum features
* investigate alpha parameter in time domian and frquency domain
* ALPHA>=0, using data generated by reverber toolkit
* consider theta
* compute EER with kaldi

====RNN-DAE(Deep based Auto-Encode-RNN)====
* hold
* deliver to mengyuan
:* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=261

===Speaker ID===
* DNN-based sid --Tian Lan
:* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=327

===Ivector&Dvector based ASR===
* hold --Tian Lan
* Cluster the speakers to speaker-classes, then using the distance or the posterior-probability as the metric
* Direct using the dark-knowledge strategy to do the ivector training.
:* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?step=view_request&cvssid=340
* Ivector dimention is smaller, performance is better
* Augument to hidden layer is better than input layer
* train on wsj(testbase dev93+evl92)

===Dark knowledge===
* Ensemble using 100h dataset to construct diffrernt structures -- Mengyuan
:*http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zxw&step=view_request&cvssid=264 --Zhiyong Zhang
* adaptation English and Chinglish
:* Try to improve the chinglish performance extremly
* unsupervised training with wsj contributes to aurora4 model --Xiangyu Zeng
* test large database with AMIDA
* test hidden layer knowledge transfer--xuewei

===bilingual recognition===
* hold
:* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zxw&step=view_request&cvssid=359 --Zhiyuan Tang and Mengyuan

===language vector===
* train DNN with language vector--xuewei

==Text Processing==
====RNN LM====
*character-lm rnn(hold)
*lstm+rnn
:* check the lstm-rnnlm code about how to Initialize and update learning rate.(hold)

====W2V based document classification====
* APSP paper
* CNN adapt to resolve the low resource problem
===Translation===
* draft paper of journal

===Order representation ===
* modify the objective function(hold)
* sup-sampling method to solve the low frequence word(hold)
* journal paper

===binary vector===
* nips paper
===Stochastic ListNet===
*done

===relation classifier===
*done

===plan to do===
* combine LDA with neural network

@@ 第64行： / 第64行： @@
 * APSIPA paper
 * CNN adapt to resolve the low resource problem
-===pair-wise LM===
+===Pair-wise LM===
 * draft paper of journal
 ===Order representation ===

@@ 第3行： / 第3行： @@
 ==== Environment ====
-* grid-15 and grid-11 run slowly or do not work
-−
 ==== RNN AM====
-* details at http://liuc.cslt.org/pages/rnnam.html
+*morpheme RNN-zhiyuan
-* Test monophone on RNN using dark-knowledge --Chao Liu
-* run using wsj,MPE  --Chao Liu
-* run bi-directon --Chao Liu
-* train RNN with dark knowledge transfer on AURORA4 --zhiyuan
-:*http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zxw&step=view_request&cvssid=383--zhiyuan
-==== Mic-Array ====
+* ==== Mic-Array ====
 * hold
 * Change the prediction from  fbank to spectrum features
@@ 第47行： / 第41行： @@
 * test large database with AMIDA
 * test hidden layer knowledge transfer--xuewei
 ===bilingual recognition===

@@ 第62行： / 第62行： @@
 ====W2V based document classification====
-* APSP paper
+* APSIPA paper
 * CNN adapt to resolve the low resource problem
 ===Translation===