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Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware
Keyword spotting (KWS) provides a critical user interface for many mobile and edge applications, including phones, wearables, and cars.
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
Using Intel's Loihi neuromorphic research chip and ABR's Nengo Deep Learning toolkit, we analyze the inference speed, dynamic power consumption, and energy cost per inference of a two-layer neural network keyword spotter trained to recognize a single phrase.
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