ASR:2015-03-02 - 版本历史

Lr：/* context framework */

2015-03-09T01:16:56Z

‎context framework

Lr：/* context framework */

2015-03-09T01:16:37Z

‎context framework

Lr：/* Sparse NN in NLP */

2015-03-09T01:15:57Z

‎Sparse NN in NLP

2015年3月6日 (五) 07:25 Liuc

2015-03-06T07:25:31Z

Lr：/* Text Processing */

2015-03-02T05:20:22Z

‎Text Processing

Lr：以“==Speech Processing == === AM development === ==== Environment ==== * May gpu760 of grid-14 has been repairing. * grid-11 often shutdown automatically, too slow com...”为内容创建页面

2015-03-02T01:26:01Z

以“==Speech Processing == === AM development === ==== Environment ==== * May gpu760 of grid-14 has been repairing. * grid-11 often shutdown automatically, too slow com...”为内容创建页面

新页面

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

==== Environment ====
* May gpu760 of grid-14 has been repairing.
* grid-11 often shutdown automatically, too slow computation speed.

==== RNN AM====
* details at http://liuc.cslt.org/pages/rnnam.html

==== Mic-Array ====
* XueWei is reading papers and preparing the technical report

====Dropout & Maxout & rectifier ====
* Need to solve the too small learning-rate problem
* 20h small scale sparse dnn with rectifier. --Chao liu
* 20h small scale sparse dnn with Maxout/rectifier based on weight-magnitude-pruning. --Mengyuan Zhao
* hold

====Convolutive network====
* Convolutive network(DAE)
:* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=311
:* Technical report to draft, Mian Wang, Yiye Lin, Shi Yin, Mengyuan Zhao

====DNN-DAE(Deep Auto-Encode-DNN)====
* Technical report to draft, Xiangyu Zeng, Shi Yin, Mengyuan Zhao and Zhiyong Zhang,
* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=318

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

====VAD====
* DAE
:* HOLD
* Technical report -- Shi Yin

====Speech rate training====
:* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=268
:* Technical report to draft. Xiangyu Zeng, Shi Yin
:* Prepare for ChinaSIP

====Confidence====
* Reproduce the experiments on fisher dataset.
* Use the fisher DNN model to decode all-wsj dataset
* preparing scoring for puqiang data
* HOLD

====Neural network visulization====
* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=324
* Technical report, Mian Wang.

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

==Text Processing==
===LM development===

====Domain specific LM====
* LM2.X
:* mix the sougou2T-lm,kn-discount(done)
:* train a large lm using 25w-dict.(hanzhenglong/wxx)
::* v2.0a adjust the weight and smaller weight of transcription is better.(done)
::* v2.0b add the v1.0 vocab(this week)
::* v2.0c filter the useless word.(next week)
::* set the test set for new word (hold)

====tag LM====
* Tag Lm
:* add 3-class tag and test
* similar word extension in FST
:* improve the key-word weight in G , and result is good in keyword recognization
:* read to deal with the English-Chinese

====RNN LM====
*rnn
:* test wer RNNLM on Chinese data from jietong-data
:* generate the ngram model from rnnlm and test the ppl with different size txt.
*lstm+rnn
:* check the lstm-rnnlm code about how to Initialize and update learning rate.(hold)

===Word2Vector===

====W2V based doc classification====
* data prepare.
====Knowledge vector====
* run the big data
:* test done
:* result: http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=lr&step=view_request&cvssid=326
* write the paper.
====Character to word====
* Character to word conversion(hold)

====Word vector online learing====
* prepare the ACL

===Translation===

* v5.0 demo released
:* cut the dict and use new segment-tool

===Sparse NN in NLP===
* write a technical report(Wednesday) and make a report.
* ready to prepare the ACL

===QA===
====improve fuzzy match====
* add Synonyms similarity using MERT-4 method(hold)
====improve lucene search====
:* add more feature to improve search.
::* POS, NER ,tf ,idf
::* result:P@1: 0.68734335-->0.7763158P@5: 0.80325814-->0.8383459 [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Huilan-learning-to-rank]
:* Optimize the code about extracting features and reranking and commit to Rong Liu to check in.
:* using sentence vector, it doesn't work.
* online learning to rank
:* tool is ok and ready to test

===online learning===
*a simple edition about online learning part about QA.
====context framework====
* code for organization
:* change to knowledge graph,and learn the D2R tool and JENA[[媒体文件:政府组织机构图谱--汇联.pdf| 政府组织推演]] [[媒体文件:员工信息推演_知识图谱.pdf|员工信息实例推演]]
:* code for demo

====query normalization====
* using NER to normalize the word

* new inter will install SEMPRE

@@ 第118行： / 第118行： @@
 *a simple edition about online learning part about QA.
 ====context framework====
-* code for organization
+* code for demo
-:* code for demo
+:*
-::*
 ====query normalization====

@@ 第105行： / 第105行： @@
 ===Sparse NN in NLP===
 * write a technical report(Wednesday) and make a report.
-* ready to prepare the ACL
+* prepare the ACL
 ===QA===

@@ 第3行： / 第3行： @@
 ==== Environment ====
 * grid-11 often shutdown automatically, too slow computation speed.
 ==== RNN AM====
 * details at http://liuc.cslt.org/pages/rnnam.html
 ==== Mic-Array ====
-* XueWei is reading papers and preparing the technical report
+* the technical report is done.
 ====Dropout & Maxout & rectifier ====
 * Need to solve the too small learning-rate problem
 * 20h small scale sparse dnn with rectifier. --Chao liu
 * 20h small scale sparse dnn with Maxout/rectifier based on weight-magnitude-pruning. --Mengyuan Zhao
 ====Convolutive network====
 * Convolutive network(DAE)
 :* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=311
-:* Technical report to draft, Mian Wang, Yiye Lin, Shi Yin, Mengyuan Zhao
+:* Technical report writing, Mian Wang, Yiye Lin, Shi Yin, Mengyuan Zhao
 ====DNN-DAE(Deep Auto-Encode-DNN)====
 * Technical report to draft, Xiangyu Zeng, Shi Yin, Mengyuan Zhao and Zhiyong Zhang,
 * http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=318
 ====RNN-DAE(Deep based Auto-Encode-RNN)====
 * HOLD
 ====VAD====
 * DAE
-:* HOLD
+* Technical report done. -- Shi Yin
 * Technical report -- Shi Yin
 ====Speech rate training====
 :* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=268
 :* Technical report to draft. Xiangyu Zeng, Shi Yin
-:* Prepare for ChinaSIP
+:* Prepare for NCMSSC
 ====Confidence====
 * Reproduce the experiments on fisher dataset.
 * Use the fisher DNN model to decode all-wsj dataset
 * preparing scoring for puqiang data
 ====Neural network visulization====
 * http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=324
-* Technical report, Mian Wang.
+* Technical report writing, Mian Wang.
 ===Speaker ID===

@@ 第65行： / 第65行： @@
 :* train a large lm using 25w-dict.(hanzhenglong/wxx)
 ::* v2.0a adjust the weight and smaller weight of transcription is better.(done)
-::* v2.0b add the v1.0 vocab(this week)
+::* v2.0b add the v1.0 vocab(done)
 ::* v2.0c filter the useless word.(next week)
 ::* set the test set for new word (hold)
@@ 第88行： / 第88行： @@
 * data prepare.
 ====Knowledge vector====
-* run the big data
+* paper is done, submitted ACL
-:* test done
-:* result: http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=lr&step=view_request&cvssid=326
-* write the paper.
 ====Character to word====
 * Character to word conversion(hold)
@@ 第111行： / 第108行： @@
 * add Synonyms similarity using MERT-4 method(hold)
 ====improve lucene search====
-:* add more feature to improve search.
+:* commit to Rong Liu to check in.
-::* POS, NER ,tf ,idf
-::* result:P@1:  0.68734335-->0.7763158P@5:  0.80325814-->0.8383459 [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Huilan-learning-to-rank]
-:* Optimize the code about extracting features and reranking and commit to Rong Liu to check in.
-:* using sentence vector, it doesn't work.
 * online learning to rank
 :* tool is ok and ready to test
@@ 第125行： / 第118行： @@
 :* change to knowledge graph,and learn the D2R tool and JENA[[媒体文件:政府组织机构图谱--汇联.pdf| 政府组织推演]] [[媒体文件:员工信息推演_知识图谱.pdf|员工信息实例推演]]
 :* code for demo
+::*
 ====query normalization====
 * using NER to normalize the word
 * new inter will install SEMPRE