“ASR Status Report 2017-6-5”版本间的差异

2017年6月5日 (一) 01:59的版本

Date	People	Last Week	This Week
2017.6.5	Hui Tang
	Yanqing Wang
	Ying Shi	mix-lingual structure (without LID) the performance of thch30 is bad than baseline 24.84 the performance of kazak is better than baseline 24.37 the performance of uyghur is very bad 109.01 result analysis pdf mix the language model of uyghur is too weak	work for APSIPA2017
	Yixiang Chen	Ten languages i-vector L-vector + svm performance	cough laugh hello data speaker recognition
	Lantian Li
	Zhiyuan Tang	basic recipes for OLR17 and MixASR17	improve the recipes and publish

Date	People	Last Week	This Week
2017.5.31	Hui Tang	after introducing beamforming, zhiyong lets me learn something about how to sound localization	Create a database for overlapping speech
	Yanqing Wang
	Ying Shi	work for Apsipa17 thchs baseline kazakh baseline uyghur baseline 3 language merge GMM baseline	work for Apsipa17 graduation thesis
	Yixiang Chen
	Lantian Li	Submit the Interspeech paper. Deep speaker feature learning with a larger ASR model. Prepare the end-to-end ASV.	End-to-end ASV.
	Zhiyuan Tang	Experiments for OC17 mix-asr challenge,baseline done. Spk feature as LID input. Data preparation for AP17 orl challenge.	Two challenges done.

@@ 第26行： / 第26行： @@
 |Ying Shi
 ||
-* Ten languages i-vector L-vector + svm performance
+* mix-lingual structure (without LID)
+** the performance of thch30 is bad than baseline 24.84
+** the performance of kazak is better than baseline 24.37
+** the performance of uyghur is very bad 109.01
+*result analysis
+** pdf mix
+** the language model of uyghur is too weak
 ||
-* cough laugh hello data speaker recognition
+* work for APSIPA2017
 |-
@@ 第35行： / 第41行： @@
 |Yixiang Chen
 ||
-*
+* Ten languages i-vector L-vector + svm performance
 ||
-*
+* cough laugh hello data speaker recognition
 |-