Eylon Zohar

AN EFFICIENT NEURAL NETWORK FOR MODELING HUMAN AUDITORY NEUROGRAMS FOR SPEECH

Classical auditory-periphery models, exemplified by Bruce et al., 2018, provide high-fidelity simulations but are stochastic and computationally demanding, limiting large-scale experimentation and low-latency use. Prior neural encoders approximate aspects of the periphery; however, few are explicitl…