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SpikCTU: A Compact Spiking Network with Adaptive Recurrent Computation for Speech Command Recognition
Spiking Neural Networks offer event-driven, energy-efficient computation for speech command recognition, yet most existing methods follow fixed computation paths, allocating redundant computation to easy samples while providing limited insight into how evidence evolves during inference. To address t
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