Multi-space random mapping for speaker identification

This paper presents a work of utilizing multi-space random mapping (MRM) to formulate a dual-factor identification system, which combines speaker biometric and personal token. Our work has shown that MRM-system exhibits stronger discriminative ability when comparing test features to its counterfeit...

Full description

Bibliographic Details
Main Authors: Chong, Tze Yuang, Teoh, Andrew Beng Jin, Ngo, David Chek Ling, Goh, Michael Kah Ong
Format: Article
Published: The Institute of Electronics, Information and Communication Engineers 2005
Subjects:
Online Access:http://shdl.mmu.edu.my/2244/
Description
Summary:This paper presents a work of utilizing multi-space random mapping (MRM) to formulate a dual-factor identification system, which combines speaker biometric and personal token. Our work has shown that MRM-system exhibits stronger discriminative ability when comparing test features to its counterfeit templates, which lied in other different random subspaces. This advantage thus contributes to better F-ratio and greater accuracy recognition.