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作 者:黄晓龙 HUANG Xiaolong(Zhangzhou Hongfa Acoustics Co.,Ltd.,Xiamen Branch,Xiamen 361021,China)
机构地区:[1]漳州宏发电声有限公司厦门分公司,福建厦门361021
出 处:《电声技术》2024年第12期142-144,共3页Audio Engineering
摘 要:设计并实现一种基于STM32单片机的智能门控系统声控模块。通过对高灵敏度微型机电系统(Micro Electro Mechanical System,MEMS)麦克风阵列采集的语音信号进行预处理、特征提取,并结合深度神经网络模型进行语音识别,实现对门控系统的声控操作。实验结果显示,在安静环境中,该模块能够实现超过98%的语音唤醒率和命令词识别率,即使在嘈杂环境下性能仍保持较高水平。A voice control module of intelligent door control system based on STM32 single chip microcomputer is designed and implemented.The voice control operation of the door control system is realized by preprocessing and feature extraction of the voice signals collected by the microphone array of the high-sensitivity Micro Electro Mechanical System(MEMS),and combining with the deep neural network model for voice recognition.The experimental results show that the module can achieve more than 98% voice wake-up rate and command word recognition rate in quiet environment,and its performance remains high even in noisy environment.
分 类 号:TN850.5[电子电信—信息与通信工程]
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