[1]曹 胜,王晟超,陈子涵,等.基于STM32的人声监测录音屏蔽系统的设计[J].工业仪表与自动化装置,2026,(01):9-13.[doi:10.19950/j.cnki.CN61-1121/TH.2026.01.002]
　CAO Sheng,WANG Shengchao,CHEN Zihan,et al.Design of vocal monitoring and recording shielding system based on STM32[J].Industrial Instrumentation & Automation,2026,(01):9-13.[doi:10.19950/j.cnki.CN61-1121/TH.2026.01.002]

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基于STM32的人声监测录音屏蔽系统的设计()

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:

期数:

2026年01期

页码:

9-13

栏目:

出版日期:

2026-02-15

文章信息/Info

Title:

Design of vocal monitoring and recording shielding system based on STM32

文章编号:

1000-0682（2026）01-0009-05

作者:

曹 胜; 王晟超; 陈子涵; 王树红; 高红霞

太原学院 智能与信息工程系, 山西 太原 030032

Author(s):

CAO Sheng;  WANG Shengchao;  CHEN Zihan;  WANG Shuhong;  GAO Hongxia

Taiyuan University Department of Intelligence and Information Engineering, Shanxi Taiyuan 030032, China

关键词:

STM32G431; 语音隐私保护; 频谱熵算法; 录音干扰; 超声波屏蔽; 实时检测

Keywords:

STM32G431;  voice privacy protection;  spectrum entropy algorithm;  recording interference;  ultrasonic shielding;  real-time detection

分类号:

TP23

DOI:

10.19950/j.cnki.CN61-1121/TH.2026.01.002

文献标志码:

A

摘要:

在当前电子信息技术快速发展的背景下，语音信号录制设备的隐蔽性和性能不断提高，公共场合信息泄露等问题不断凸显。针对该问题设计了一种基于STM32微控制器的人声监测录音屏蔽系统。系统采用信号采集、信号处理、特征提取、信号类型识别及输出控制等方法实现对人声信号及音乐信号的识别及屏蔽控制。具体通过麦克风实现信号采集，随后采用快速傅里叶变换与频谱熵算法在STM32中实现人声识别，当判断到人声后驱动超声波干扰模块工作，当判断到音乐信号后不工作。结果表明，系统在实验场景中识别速度1s以内，识别准确率90%以上，能够有效保护人声语音隐私。

Abstract:

In the context of rapid development of electronic information technology, the concealment and performance of voice signal recording equipment continue to improve, and problems such as information leakage in public places are becoming increasingly prominent. A voice monitoring and recording shielding system based on STM32 microcontroller has been designed to address this issue. The system adopts methods such as signal acquisition, signal processing, feature extraction, signal type recognition, and output control to achieve recognition and shielding control of human voice signals. Specifically, signal acquisition is achieved through a microphone, and then fast Fourier transform and spectral entropy algorithm are used to achieve voice recognition in STM32. When voice is detected, the ultrasonic interference module is driven to work. The results show that the system has a recognition speed of less than 1 second and a recognition accuracy of over 90% in the experimental scenario, which can effectively protect speech privacy.

备注/Memo

备注/Memo:

收稿日期：2025-07-03基金项目：山西省高校科技创新计划项目（2022L577）；2023年山西省高等学校一般性教学改革创新立项项（J20231426）；2024年山西省高等学校一般性教学改革创新立项项（J20241477）；太原学院2023年院级认定一流课程（单片机原理与应用）第一作者：曹胜（1997—），男，汉族，山西太原人，研究生，讲师。研究方向为嵌入式设计开发、硬件电路设计。

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