AUTHOR=Xu Ying , Perera Samalika , Bethi Yeshwanth , Afshar Saeed , van Schaik André 

TITLE=Event-driven spectrotemporal feature extraction and classification using a silicon cochlea model

JOURNAL=Frontiers in Neuroscience

VOLUME=17

YEAR=2023

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1125210

DOI=10.3389/fnins.2023.1125210

ISSN=1662-453X

ABSTRACT=<p>This paper presents a reconfigurable digital implementation of an event-based binaural cochlear system on a Field Programmable Gate Array (FPGA). It consists of a pair of the Cascade of Asymmetric Resonators with Fast Acting Compression (CAR-FAC) cochlea models and leaky integrate-and-fire (LIF) neurons. Additionally, we propose an event-driven SpectroTemporal Receptive Field (STRF) Feature Extraction using Adaptive Selection Thresholds (FEAST). It is tested on the TIDIGTIS benchmark and compared with current event-based auditory signal processing approaches and neural networks.</p>