Implementation of Speech Recognition Home Control System Using Arduino

Implementation of Speech Recognition Home Control System Using Arduino

Electronically control of household activities has long been explored in various ways. This paper presents the development of a low cost voice home control system. This objective is accomplished by applying speech recognition into the system, with Arduino Uno as the controller. This system able to h...

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Bibliographic Details
Main Authors: Nurul Fadzilah, Hasan, M. R. M., Rejab, Nurul Hidayah, Sapar
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/11274/
http://umpir.ump.edu.my/id/eprint/11274/1/Implementation%20Of%20Speech%20Recognition%20Home%20Control%20System%20Using%20Arduino.pdf
id ump-11274
recordtype eprints
spelling ump-112742018-07-27T03:07:04Z http://umpir.ump.edu.my/id/eprint/11274/ Implementation of Speech Recognition Home Control System Using Arduino Nurul Fadzilah, Hasan M. R. M., Rejab Nurul Hidayah, Sapar TK Electrical engineering. Electronics Nuclear engineering Electronically control of household activities has long been explored in various ways. This paper presents the development of a low cost voice home control system. This objective is accomplished by applying speech recognition into the system, with Arduino Uno as the controller. This system able to help people to use the electronics devices effectively besides provide improved convenience and comfort to user especially for elderly and disabled who live alone and help them to be more independent. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11274/1/Implementation%20Of%20Speech%20Recognition%20Home%20Control%20System%20Using%20Arduino.pdf Nurul Fadzilah, Hasan and M. R. M., Rejab and Nurul Hidayah, Sapar (2015) Implementation of Speech Recognition Home Control System Using Arduino. In: International Conference on Electrical, Control and Computer Engineering 2015, 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nurul Fadzilah, Hasan
M. R. M., Rejab
Nurul Hidayah, Sapar
Implementation of Speech Recognition Home Control System Using Arduino
description Electronically control of household activities has long been explored in various ways. This paper presents the development of a low cost voice home control system. This objective is accomplished by applying speech recognition into the system, with Arduino Uno as the controller. This system able to help people to use the electronics devices effectively besides provide improved convenience and comfort to user especially for elderly and disabled who live alone and help them to be more independent.
format Conference or Workshop Item
author Nurul Fadzilah, Hasan
M. R. M., Rejab
Nurul Hidayah, Sapar
author_facet Nurul Fadzilah, Hasan
M. R. M., Rejab
Nurul Hidayah, Sapar
author_sort Nurul Fadzilah, Hasan
title Implementation of Speech Recognition Home Control System Using Arduino
title_short Implementation of Speech Recognition Home Control System Using Arduino
title_full Implementation of Speech Recognition Home Control System Using Arduino
title_fullStr Implementation of Speech Recognition Home Control System Using Arduino
title_full_unstemmed Implementation of Speech Recognition Home Control System Using Arduino
title_sort implementation of speech recognition home control system using arduino
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/11274/
http://umpir.ump.edu.my/id/eprint/11274/1/Implementation%20Of%20Speech%20Recognition%20Home%20Control%20System%20Using%20Arduino.pdf
first_indexed 2023-09-18T22:11:50Z
last_indexed 2023-09-18T22:11:50Z
_version_ 1777415079445135360

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