Adaptive Gaussian back-end based on LDOF criterion for language recognition

In order to alleviate the mismatch in model between training and testing samples caused by inter-language variations,adaptive Gaussian back-end based on LDOF criterion was proposed for language recognition.The local distance-based outlier factor (LDOF) criterion was defined to find the appropriate m...

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Main Authors: Zhong-fu YE, Ting QI, Sai-feng LI, Yan SONG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-04-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017096/
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author Zhong-fu YE
Ting QI
Sai-feng LI
Yan SONG
author_facet Zhong-fu YE
Ting QI
Sai-feng LI
Yan SONG
author_sort Zhong-fu YE
collection DOAJ
description In order to alleviate the mismatch in model between training and testing samples caused by inter-language variations,adaptive Gaussian back-end based on LDOF criterion was proposed for language recognition.The local distance-based outlier factor (LDOF) criterion was defined to find the appropriate model parameters and dynamically select the training data subset similar to the testing samples from multiple class training sets.Then original back-end was adjusted to obtain a more matched recognition model.Experimental results on NIST LRE 2009 easily-confused language data set show that proposed method achieves an obvious performance improvement on both the equal error rate (ERR) and average decision cost function.
format Article
id doaj-art-239297f6344f4c0aab696e302db9c398
institution Kabale University
issn 1000-436X
language zho
publishDate 2017-04-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-239297f6344f4c0aab696e302db9c3982025-01-14T07:11:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-04-0138172459708925Adaptive Gaussian back-end based on LDOF criterion for language recognitionZhong-fu YETing QISai-feng LIYan SONGIn order to alleviate the mismatch in model between training and testing samples caused by inter-language variations,adaptive Gaussian back-end based on LDOF criterion was proposed for language recognition.The local distance-based outlier factor (LDOF) criterion was defined to find the appropriate model parameters and dynamically select the training data subset similar to the testing samples from multiple class training sets.Then original back-end was adjusted to obtain a more matched recognition model.Experimental results on NIST LRE 2009 easily-confused language data set show that proposed method achieves an obvious performance improvement on both the equal error rate (ERR) and average decision cost function.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017096/language recognitioninter-language variationsadaptive Gaussian back-endLDOF
spellingShingle Zhong-fu YE
Ting QI
Sai-feng LI
Yan SONG
Adaptive Gaussian back-end based on LDOF criterion for language recognition
Tongxin xuebao
language recognition
inter-language variations
adaptive Gaussian back-end
LDOF
title Adaptive Gaussian back-end based on LDOF criterion for language recognition
title_full Adaptive Gaussian back-end based on LDOF criterion for language recognition
title_fullStr Adaptive Gaussian back-end based on LDOF criterion for language recognition
title_full_unstemmed Adaptive Gaussian back-end based on LDOF criterion for language recognition
title_short Adaptive Gaussian back-end based on LDOF criterion for language recognition
title_sort adaptive gaussian back end based on ldof criterion for language recognition
topic language recognition
inter-language variations
adaptive Gaussian back-end
LDOF
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017096/
work_keys_str_mv AT zhongfuye adaptivegaussianbackendbasedonldofcriterionforlanguagerecognition
AT tingqi adaptivegaussianbackendbasedonldofcriterionforlanguagerecognition
AT saifengli adaptivegaussianbackendbasedonldofcriterionforlanguagerecognition
AT yansong adaptivegaussianbackendbasedonldofcriterionforlanguagerecognition