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VOICE RECOGNITION BASED WIRELESS HOME AUTOMATION SYSTEM


ABSTRACT
Home Automation industry is growing rapidly; this is fuelled by the need to provide supporting systems for the elderly and the disabled, especially those who live alone. Coupled with this, the world population is confirmed to be getting older.
Home automation systems must comply with the household standards and convenience of usage. This paper details the overall design of a wireless home automation system (WHAS) which has been built and implemented.
The automation centres on recognition of voice commands and uses low-power RF ZigBee wireless communication modules which are relatively cheap. The home automation system is intended to control all lights and electrical appliances in a home or office using voice commands. The system has been tested and verified.
The verification tests included voice recognition response test, indoor ZigBee communication test, and the compression and decompression tests of DPCM (Differential Pulse Code Modulation) speech signals. The tests involved a mix of 35 male and female subjects with different English accents. 35 different voice commands were sent by each person. Thus the test involved sending a total of 1225 commands and 79.8% of these commands were recognised correctly.

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Voice Recognition Based Wireless Home Automation System

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Abstract

Home Automation industry is growing rapidly; this is
fuelled by the need to provide supporting systems for the elderly
and the disabled, especially those who live alone. Coupled with
this, the world population is confirmed to be getting older. Home
automation systems must comply with the household standards
and convenience of usage. This paper details the overall design of
a wireless home automation system (WHAS) which has been built
and implemented. The automation centres on recognition of voice
commands and uses low-power RF ZigBee wireless
communication modules which are relatively cheap. The home
automation system is intended to control all lights and electrical
appliances in a home or office using voice commands. The system
has been tested and verified. The verification tests included voice
recognition response test, indoor ZigBee communication test, and
the compression and decompression tests of DPCM (Differential
Pulse Code Modulation) speech signals. The tests involved a mix
of 35 male and female subjects with different English accents. 35
different voice commands were sent by each person. Thus the test
involved sending a total of 1225 commands and 79.8% of these
commands were recognised correctly.

INTRODUCTION

The demography of the world population shows a trend that
the elderly population world wide is increasing rapidly as a
result of the increase of the average live expectancy of people
[1]. Caring for and supporting this growing population is a
concern for governments and nations around the globe [2].
Home automation is one of the major growing industries that
can change the way people live. Some of these home
automation systems target those seeking luxury and
sophisticated home automation platforms; others target those
with special needs like the elderly and the disabled. The aim of
the reported Wireless Home Automation System (WHAS) is to
provide those with special needs with a system that can
respond to voice commands and control the on/off status of
electrical devices, such as lamps, fans, television etc, in the
home. The system should be reasonably cheap, easy to
configure, and easy to run.

SYSTEM OVERVIEW

The Wireless Home Automation System (WHAS) is an
integrated system to facilitate elderly and disabled people with
an easy-to-use home automation system that can be fully
operated based on speech commands. The system is
constructed in a way that is easy to install, configure, run, and
maintain. The functional blocks of the overall system are
shown in Figure 2.

Voice Recognition Application

The voice recognition application implements Microsoft
speech API. The application compares incoming speech with
an obtainable predefined dictionary. The Microsoft speech API
run time environment relies on two main engines: Automatic
Speech Recognition (ASR engine) and Text To Speech (TTS
engine) as shown in Figure 11. ASR implements the Fast
Fourier Transform (FFT) to compute the spectrum of the
fingerprint data [4]. Comparing the fingerprint with an existing
database returns a string of the text being spoken. This string is
represented by a control character that gets sent to the
corresponding appliance’s address.

CONCLUSIONS AND FUTURE WORK

A home automation system based on voice recognition was
built and implemented. The system is targetted at elderly and
disabled people. The prototype developed can control electrical
devices in a home or office. The system implements Automatic
Speech Recognition engines through Microsoft speech APIs.
The system implements the wireless network using ZigBee RF
modules for their efficiency and low power consumption.