Neuromorphic engineers develop event-based spiking neural networks (SNNs) in hardware.
These SNNs closer resemble the dynamics of biological neurons than conventional artificial …

We present a biologically inspired sound localisation system for reverberant environments
using the Cascade of Asymmetric Resonators with Fast-Acting Compression (CAR-FAC) …

Wildlife conservation using continuous monitoring of environmental factors and biomedical
classification, which generate a vast amount of sensor data, is a challenge due to limited …

Filters in cochlear models use different coefficients to break sound into a 2-D time-frequency
representation. On digital hardware with a single sampling rate, the number of bits required …

Many analytical models that mimic, in varying degree of detail, the basic auditory processes
involved in human hearing have been developed over the past decades. While the auditory …

This paper presents a new field-programmable gate array (FPGA) based digital audio signal
processing system. In spite of its small size, it achieves a performance that up to now has …