3 citations · 6 across the 3 of their papers we have counts for
4 papers
Neuromorphic Astronomy: An End-to-End SNN Pipeline for RFI Detection Hardware
Nicholas J. Pritchard, Andreas Wicenec, Richard Dodson +2
Imminent radio telescope observatories provide massive data rates making deep learning based processing appealing while simultaneously demanding real-time performance at low-energy…
Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2
Weijie Ke, Mina Khoei, Dylan Muir
XyloAudio is a line of ultra-low-power audio inference chips, designed for in- and near-microphone analysis of audio in real-time energy-constrained scenarios. Xylo is designed aro…
Micro-power spoken keyword spotting on Xylo Audio 2
Hannah Bos, Dylan R. Muir
For many years, designs for "Neuromorphic" or brain-like processors have been motivated by achieving extreme energy efficiency, compared with von-Neumann and tensor processor devic…
Low-power SNN-based audio source localisation using a Hilbert Transform spike encoding scheme
Saeid Haghighatshoar, Dylan R Muir
Sound source localisation is used in many consumer devices, to isolate audio from individual speakers and reject noise. Localization is frequently accomplished by ``beamforming'',…