Title: Speech unlocking information recognition method of intelligent electronic lock based on acoustic spectrum characteristics

Authors: Zhifeng Lu; Lingling Ma

Addresses: Institute of Mathematics and Physics, Xinjiang Teacher's College, Urumqi 830000, China ' Institute of Mathematics and Physics, Xinjiang Teacher's College, Urumqi 830000, China

Abstract: In order to overcome the problems of low recognition accuracy and long recognition time in traditional speech unlocking information recognition methods, a speech unlocking information recognition method of intelligent electronic lock based on acoustic spectrum characteristics is proposed. Firstly, the voice unlocking information of intelligent electronic lock is collected by digital filter, and the unlocking information is enhanced by spectral subtraction. Secondly, the acoustic spectrum of unlocking information after enhanced processing is calculated, and the characteristics of voice unlocking information of intelligent electronic lock are extracted based on the calculated acoustic spectrum. Finally, the short-time autocorrelation function is used to detect the unlocking information endpoint and recognise the voice unlocking information of intelligent electronic lock. The simulation results show that the recognition time of this method is short, the missing recognition rate is low, and the recognition accuracy is high, and the shortest recognition time is only 2.5 s.

Keywords: acoustic spectrum characteristics; intelligent electronic lock; voice unlocking; spectral subtraction; short-time autocorrelation function.

DOI: 10.1504/IJRIS.2023.136357

International Journal of Reasoning-based Intelligent Systems, 2023 Vol.15 No.3/4, pp.259 - 265

Received: 23 Aug 2022
Accepted: 26 Sep 2022
Published online: 31 Jan 2024 *

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