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Neural Networks for Keyword Spotting on IoT Devices

arXiv 2101.00693 ↗First posted 3 Jan 2021cs.LG cs.AIcited by 0

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Abstract (arXiv)

We explore Neural Networks (NNs) for keyword spotting (KWS) on IoT devices like smart speakers and wearables. Since we target to execute our NN on a constrained memory and computation footprint, we propose a CNN design that. (i) uses a limited number of multiplies. (ii) uses a limited number of model parameters.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 11 references that are in the map. First posted on arXiv 3 Jan 2021.

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2 of 11 references.

References · 2

  1. 2017Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spottingcited by 32
  2. 2019A Microphone Array and Voice Algorithm based Smart Hearing Aidcited by 2

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