A Resource-Efficient Keyword Spotting System Based on a One-Dimensional Binary Convolutional Neural Network

This paper proposes a resource-efficient keyword spotting (KWS) system based on a convolutional neural network (CNN). The end-to-end KWS process is performed based solely on 1D-CNN inference, where features are first extracted from a few convolutional blocks, and then the keywords are classified usi...

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Veröffentlicht in:	Electronics (Basel) 2023-09, Vol.12 (18), p.3964
Hauptverfasser:	Yoon, Jinsung, Kim, Neungyun, Lee, Donghyun, Lee, Su-Jung, Kwak, Gil-Ho, Kim, Tae-Hwan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Classification Inference Keywords Machine learning Methods Neural networks Noise levels Resource allocation Signal to noise ratio Voice recognition Word processing
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