Journal of University of Chinese Academy of Sciences >
Data selection method in speaker recognition based on classification of phonemes
Received date: 2013-06-14
Revised date: 2013-11-04
Online published: 2014-09-15
In speaker recognition, the selection of useful information is an important pre-processing step. Usual ways for selection of the useful information are based on energy. However, between useful information and energy there are no necessary connections. After analying the traditional selection ways, we propose a phoneme decoder based data selection algorithm. Through analysis of the phoneme recognition results, all vowels are kept and some useless consonants are filtered. The speaker recognition experiment results show that the proposed method is superior to the traditional energy-based data selection algorithms such as G.723.1 algorithm and the recently proposed cross entropy based order statistics filtering algorithm.
Key words： speaker recognition; useful information; phoneme decoder; consonant
WU Weilan , ZHANG Weiqiang , LIU Weiwei , TIAN Yao , CHEN Zhenfeng , LIU Jia , XIA Shanhong . Data selection method in speaker recognition based on classification of phonemes[J]. Journal of University of Chinese Academy of Sciences, 2014 , 31(5) : 714 -719 . DOI: 10.7523/j.issn.2095-6134.2014.05.019
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