Biometric identification of listener identity from frequency following responses to speech.

Journal: Journal of neural engineering
Published Date:

Abstract

OBJECTIVE: We investigate the biometric specificity of the frequency following response (FFR), an EEG marker of early auditory processing that reflects phase-locked activity from neural ensembles in the auditory cortex and subcortex (Chandrasekaran and Kraus 2010, Bidelman, 2015a, 2018, Coffey et al 2017b). Our objective is two-fold: demonstrate that the FFR contains information beyond stimulus properties and broad group-level markers, and to assess the practical viability of the FFR as a biometric across different sounds, auditory experiences, and recording days.

Authors

  • Fernando Llanos
    Department of Communication Sciences & Disorders, Moody College of Communication, The University of Texas at Austin, United States.
  • Zilong Xie
    Department of Communication Sciences & Disorders Moody College of Communication The University of Texas at Austin Austin TX USA.
  • Bharath Chandrasekaran
    Department of Communication Sciences & Disorders Moody College of Communication The University of Texas at Austin Austin TX USA.