期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2016
卷号：9
期号：1
页码：36-40
语种：English
出版社：Oriental Scientific Publishing Company
摘要：This paper presents a reviewof various speaker verification approaches in realistic world, and explore a combinational approach between Gaussian Mixture Model (GMM) and Support Vector Machine (SVM) as well as Gaussian Mixture Model (GMM) and Universal Background Model (UBM).
关键词：Speaker Verification ; Gaussian Mixture Model ; Support Vector Machine ; Universal Background Model ; Likelihood-ratio
