Alexandre Valentian

Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting

Bio-inspired Spiking Neural Networks (SNNs) are promising candidates to replace standard Artificial Neural Networks (ANNs) for energy-efficient keyword spotting (KWS) systems. In this work, we compare the trade-off between accuracy and energy-efficiency of a gated recurrent SNN (Spik-GRU) with a sta…