The human brain's unparalleled efficiency in executing complex cognitive tasks stems from
neurons communicating via short, intermittent bursts or spikes. This has inspired Spiking …

Brain-inspired spiking neural networks (SNNs) have demonstrated great potential for
temporal signal processing. However, their performance in speech processing remains …

Resonate-and-Fire (RF) neurons are an interesting complementary model for integrator
neurons in spiking neural networks (SNNs). Due to their resonating membrane dynamics …

The resonate-and-fire (RF) neuron, introduced over two decades ago, is a simple, efficient,
yet biologically plausible spiking neuron model, which can extract frequency patterns within …

Thanks to Deep Neural Networks (DNNs), the accuracy of Keyword Spotting (KWS) has
made substantial progress. However, as KWS systems are usually implemented on edge …

Deep Neural Networks (DNNs) have been successfully implemented across various signal
processing fields, resulting in significant enhancements in performance. However, DNNs …