The Practical Application of Voice Recognition Lighting System in Embedded System Course
DU Shibo
SU Xingpeng
XUE Yuanhe
SUN Di
CHEN Xuepeng
CHEN Yaolong
ZHANG Tengfei
DING Xiang
SUN Shuxiang
WEN Hua
MEI Hongying
Abstract：With the development of smart home technology,speech recognition has become an important human-computer interaction method.To improve the accuracy of speech recognition in noisy environments,this paper designs a voice lighting control system based on Raspberry Pi.The system collects audio signals through a speech recognition module,combines MFCC(Mel Frequency Cepstral Coefficient)feature extraction technology to analyze instructions,and controls relays to achieve intelligent switch combination of lighting.In addition,the system can serve as a practical case for embedded system courses,helping students to deepen their understanding of key technologies such as voice command processing,communication protocols,noise suppression algorithms,and system integration,cultivating their scientific literacy,innovative thinking,and environmental awareness,while stimulating their interest in exploring the field of smart homes.
Keywords：smart homesvoice controlRaspberry Pideep learning
Publication Date：2026-01-25
Online Publishing Date：2026-03-05(First online date of this platform, not the publication date of the document)
Pages：5( 92-96 )