Abstract
Automatic device control is of great assistance in different electronic application areas that will aid human endeavors. Traditionally, fan and water pump system used in many homes are controlled by using manual process. This is a time consuming and difficult procedure, for the elderly, and handicap persons. In this view, this paper presents a microcontroller based fan and water pump control system using speech recognition. The system has a PIC16F628A microcontroller activated by a speech recognizer, then triggers control to a DC motor which set the water tap or the fan in motion. The Spoken words chosen for recognition are ON and OFF and the speech samples were extracted with Linear Predictive Coefficient (LPC) Feature extraction technique and after experimenting with the developed system, the result indicates the device is of good performance. We intend to increase the complexity of this work by adding specific sensors that will automatically switch off the fan at specified room temperature, and turn off the water tap at the fill of a container.
Highlights
The use of speech recognition technology in automation control greatly improves the usability and functionality of any modern home [1]
Linear predictive coefficient (LPC) is a feature extraction technique that reduces the bitrates of the speech signal, thereby reducing the size of the transmitting signal, and requires less bandwidth
These are the mathematical tools and algorithm used while processing the user(s) speech signal namely; Linear Predictive Coefficient (LPC) algorithm for feature extraction and vector quantization using the Linde-Buzo-Gray algorithm (VQLBG) for easy recognition of user speech signals
Summary
The use of speech recognition technology in automation control greatly improves the usability and functionality of any modern home [1]. Automation involves device control with the aid of sensors, microcontrollers, and actuators with minimal or no human interference [3]. This advanced technology is used to do automation of house activities [4]. Switching of home appliances using speech recognition technique has lower power consumption [5]. It is mainly focused on the elderly people, disables and for the people who are unable to type text or face difficulties in typing. It is quite difficult to operate the home appliances physically or they are unable or feel uncomfortable to type a text so as to switch on/off the relative device as in [6]
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