Eigenageing compensation for speaker verification
نویسندگان
چکیده
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.
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