Abstract
Home lighting has always played a very important role in people’s quality of life. How to make home lighting more humane is the trend of future development. This article designed a lighting control system that can be controlled by speech. The system receives the voice signal from the microphone, then uploads the voice signal to the server through the Raspberry Pi. The system uses the speech cloud service to identify and analyze the speech signal. The result of speech recognition is transmitted to the STM32 by the Raspberry Pi. STM32 controls single lamp or multiple lamps according to the recognition result. Since the speech cloud provides semantic analysis services, our speech instructions are less restrictive and more closer to everyday language. This system realizes the function of far-field identification and control linkage, while getting rid of the dependence on mobile phones, and the lighting control mode is more humanized.
Supported by Science Foundation for Goldlamp Co., Ltd (2017-228195).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, B. et al. (2019). Design of Intelligent Home Lighting Control System Based on Speech Recognition. In: Jin, J., Li, P., Fan, L. (eds) Green Energy and Networking. GreeNets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-21730-3_17
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DOI: https://doi.org/10.1007/978-3-030-21730-3_17
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