“ASR Status Report 2016-12-19”版本间的差异

2016年12月19日 (一) 06:08的版本

Date	People	Last Week	This Week
2016.12.19	Jingyi Lin		Concentrate on checking the cslt.book. Prepare for the annual convention.
	Yanqing Wang	build a data sender ( read & generate txt files of distracted feature )	build a data analyzer ( detect the modification of files and make response ( show tokens ) )
	Hang Luo	Continue joint training analysis work, but I'm very confused about how to improve	Compare decode result between mono and bi LM, and the decode result ues bi LM before and after joint Choose wrong decode sentence and find its difference between baseline and shareGMM baseline Finished ML book
	Ying Shi	some work about kazak lm crawl data from kazak internet	run new AM by current speech data get more corpus from internet use current corpus make LM and decode
	Yixiang Chen	Leanring tensorflow coding pair wise net use tensorflow alter CNN	coding CNN connect pair wise Dealing with the issue of different lengths of voice
	Lantian Li	LRE challenge on AP16-OL7. Jeju for APSIPA16.	LRE on AP16-OL7. Deep speaker embedding.
	Zhiyuan Tang	Jeju for APSIPA16.	A speech about recent ASR improvements. A supplementary TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition".

Date	People	Last Week	This Week
2016.12.12	Yanqing Wang	read a paper about driving distraction detection task	show normal/distraction patterns of a driver with one class and two class SVM
	Hang Luo	Compared mono-language model and bi-language model decode result. Read paper of WFST.	Use different corpus or generate mix-lingual corpus to run experiments
	Ying Shi	work from Chao Xing down kazak lm got some corpus from a student who study in Minzu University of China.But the corpus is short (about 10000) so the ppl is also poor. spider	kazak lm
	Yixiang Chen	Complete the replay task experiment and report	learning tensorflow coding DNN and CNN net
	Lantian Li	interim report done; PPT for APSIPA16; LRE challenge on AP16-OL7. Deep speaker embedding restart! Submit TRP-20160011 on Replay detection.	Jeju for APSIPA16.
	Zhiyuan Tang	interim report done; PPT for APSIPA16; language mask[1]	Jeju for APSIPA16.

@@ 第33行： / 第33行： @@
 * Continue joint training analysis work, but I'm very confused about how to improve
 ||
-* Compare decode result between mono and bi LM
+* Compare decode result between mono and bi LM, and the decode result ues bi LM before and after joint
 * Choose wrong decode sentence and find its difference between baseline and shareGMM baseline
 * Finished ML book