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
Subject:
Signal Processing
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.