Machine Learning Based Listener Classification and Authentication Using Frequency Following Responses to English Vowels for Biometric Applications
Bijan Borzou,
Martin Bouchard,
Hilmi R. Dajani
Abstract:Auditory Evoked Potentials (AEPs) have recently gained attention as a biometric feature that may improve security and address reliability shortfalls of other commonly-used biometric features.The objective of this thesis is to investigate the accuracy with which subjects can be automatically identified or authenticated with machine learning (ML) techniques using a type of AEP known as the speech-evoked frequency following response (FFR).Accordingly, the results show more accurate discrimination between FFRs fro… Show more
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