Voice processing with Internet of Things for a home automation system

2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON) Pub Date : 2018-08-01 DOI:10.1109/INTERCON.2018.8526420

J. Celis, Rodrillo Llanos, Sergio Castro, S. Sepulveda, Byron Medina, D. Guevara, Luis Camargo, J. Gómez

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引用次数: 3

Abstract

This paper presents a voice processing for a domotic application in the development of the Internet of things. The recognition was based on a computational intelligence implemented in the Raspberry Pi B + embedded system, which is controlled by voice using the "Comand and Control" method from a mobile application created in Android Studio, which in addition to receiving and sending the commands also allow to monitor the real-time states of the connected devices through a database. We developed and implemented an Acoustic Model and a Language Model for the people who live in the Norte de Santander region. The voice processing integrates three devices that allow controlling the lighting of the house, in addition to the measurement of temperature, humidity and presence, applying bidirectional radiofrequency communication with the Raspberry Pi. The evaluation of the system consisted of a point-to-point comparison with a licensed system considering the characteristics required by the user and obtaining a reduction in costs of 57 % including labor and a commercial profit of 50 %.

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用于家庭自动化系统的物联网语音处理

本文提出了一种应用于物联网发展的语音处理方法。这种识别是基于在树莓派B +嵌入式系统中实现的计算智能，该系统通过Android Studio创建的移动应用程序使用“命令和控制”方法通过语音控制，除了接收和发送命令外，还允许通过数据库监控连接设备的实时状态。我们为居住在北桑坦德地区的人们开发并实施了声学模型和语言模型。语音处理集成了三个设备，除了测量温度、湿度和存在之外，还可以控制房屋的照明，并与树莓派进行双向射频通信。该系统的评估包括与许可系统进行点对点比较，考虑到用户所需的特性，并获得包括劳动力在内的成本降低57%和商业利润降低50%的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)

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