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Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition
Obtaining data from neuromorphic sensors and processing it with Spiking Neural Networks is a promising solution to lower the energy cost of artificial intelligence. The current rarity of natively neuromorphic datasets promotes the development of software tools to translate input sensory data into sp
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