Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU

Petar Jakuš, Hrvoje Džapo
6/10/2025
cs.HCcs.ARcs.LG

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Abstract

This paper presents a keyword spotting (KWS) system implemented on the NXP MCXN947 microcontroller with an integrated Neural Processing Unit (NPU), enabling real-time voice interaction on resource-constrained devices. The system combines MFCC feature extraction with a CNN classifier, optimized using Quantization Aware Training to reduce model size with minimal accuracy drop. Experimental results demonstrate a 59x speedup in inference time when leveraging the NPU compared to CPU-only execution, achieving 97.06% accuracy with a model size of 30.58 KB, demonstrating the feasibility of efficient, low-power voice interfaces on embedded platforms.

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Cite this paper

@article{jaku2025implementing,
  title  = {Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU},
  author = {Petar Jakuš and Hrvoje Džapo},
  year   = {2025},
  eprint = {2506.08911},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2506.08911v1}
}

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