A Lightweight Architecture for Query-by-Example Keyword Spotting on Low-Power IoT Devices

Keyword spotting (KWS) is a task to recognize a keyword or a particular command in a continuous audio stream, which can be effectively applied to a voice trigger system that automatically monitors and processes speech signals. This paper focuses on the problem of user-defined keyword spotting in low...

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Veröffentlicht in:	IEEE transactions on consumer electronics Jg. 69; H. 1; S. 65 - 75
1. Verfasser:	Li, Meirong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Audio signals Computer architecture convolutional recurrent neural network Feature extraction Internet of Things Keyword search Keyword spotting Keywords Low-power electronics Microprocessors model compression Neural networks Power management Recurrent neural networks segmental local normalized DTW algorithm Signal processing Target detection
ISSN:	0098-3063, 1558-4127
Online-Zugang:	Volltext
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