Multi-space random mapping for speaker identification

Chong Tze Yuang; Andrew Teoh; David Ngo; Michael Goh

doi:10.1587/elex.2.226

Multi-space random mapping for speaker identification

Chong Tze Yuang, Andrew Teoh, David Ngo, Michael Goh

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	226-231
Number of pages	6
Journal	ieice electronics express
Volume	2
Issue number	7
DOIs	https://doi.org/10.1587/elex.2.226
Publication status	Published - 2005 Apr

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1587/elex.2.226

Cite this

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abstract = "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.",

author = "Yuang, {Chong Tze} and Andrew Teoh and David Ngo and Michael Goh",

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Multi-space random mapping for speaker identification

Abstract

All Science Journal Classification (ASJC) codes

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