This paper describes a variation of the well-known HiLAM approach to speaker authentication that enables reliable text-dependent speaker recognition with short-duration enrollment. The modifications introduced in this system eliminate the need for an intermediate text-independent speaker model. While the simplified system is admittedly a modest modification to the original work, it delivers comparable levels of automatic speaker verification performance while requiring 97% less speaker enrollment data. Such a significant reduction in enrollment data improves usability and supports speaker authentication for smart device and Internet of Things applications.

Authors: Valenti, Giacomo; Daniel, Adrien; Evans, Nicholas
Affiliations: NXP Software, Mougins, France; EURECOM, Biot, France; EURECOM, Sophia Antipolis, France(See document for exact affiliation information.)
AES Convention: 143 (October 2017) Paper Number: 9844
Publication Date: October 8, 2017 Import into BibTeX
Subject: Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=19241

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