Dealing with the effect of vocal ageing on speaker verification is an important challenge. In this paper, a new approach to improving speaker verification performance in the presence of long-term ageing is presented. Analogous to eigenchannel compensation, the proposed eigenageing compensation method operates by adapting a speaker model to a test sample based on a predetermined ageing subspace. An experimental evaluation of the new method, using the Trinity College Dublin Speaker Ageing database, demonstrates it to be very effective at reducing long-term speaker verification error rates, and shows it to compare favourably with our previous stacked classifier technique.
Bibliographic reference. Kelly, Finnian / Brümmer, Niko / Harte, Naomi (2013): "Eigenageing compensation for speaker verification", In INTERSPEECH-2013, 1624-1628.