Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU

📝 Original Info

• Title: Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
• ArXiv ID: 2506.08911
• Date: 2025-06-10
• Authors: ** - 논문에 명시된 저자 정보가 제공되지 않았습니다. (제공되지 않음) **

📝 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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