Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno
This study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse's voice recognition module as speech pro...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Diponegoro University
2018-01-01
|
Series: | Jurnal Teknologi dan Sistem Komputer |
Subjects: | |
Online Access: | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12971 |
id |
doaj-e7f110c028bf4782b66ef95fe971f4a3 |
---|---|
record_format |
Article |
spelling |
doaj-e7f110c028bf4782b66ef95fe971f4a32021-10-02T15:30:36ZengDiponegoro UniversityJurnal Teknologi dan Sistem Komputer2338-04032018-01-0161182410.14710/jtsiskom.6.1.2018.18-2412731Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino UnoDania Eridani0Ivan Sanusi1Eko Didik Widianto2Departemen Teknik Sistem Komputer, Universitas Diponegoro, IndonesiaDepartemen Teknik Sistem Komputer, Universitas Diponegoro, IndonesiaDepartemen Teknik Sistem Komputer, Universitas Diponegoro, IndonesiaThis study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse's voice recognition module as speech processing device and several output devices such as relays, LEDs and an LCD. This research resulted in 92,7% accuracy of speech recognition at the ideal condition and 66,85% at the noise condition. This study shows that the frequency, amplitude, slow tempo and timbre of command speech greatly affect the success of speech recognition.https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12971arduino unokendali perangkatpengenalan ucapanmodul pengenal ucapanmikrokontroler |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dania Eridani Ivan Sanusi Eko Didik Widianto |
spellingShingle |
Dania Eridani Ivan Sanusi Eko Didik Widianto Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno Jurnal Teknologi dan Sistem Komputer arduino uno kendali perangkat pengenalan ucapan modul pengenal ucapan mikrokontroler |
author_facet |
Dania Eridani Ivan Sanusi Eko Didik Widianto |
author_sort |
Dania Eridani |
title |
Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno |
title_short |
Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno |
title_full |
Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno |
title_fullStr |
Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno |
title_full_unstemmed |
Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno |
title_sort |
speech recognition and analysis of electrical device control systems using arduino uno |
publisher |
Diponegoro University |
series |
Jurnal Teknologi dan Sistem Komputer |
issn |
2338-0403 |
publishDate |
2018-01-01 |
description |
This study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse's voice recognition module as speech processing device and several output devices such as relays, LEDs and an LCD. This research resulted in 92,7% accuracy of speech recognition at the ideal condition and 66,85% at the noise condition. This study shows that the frequency, amplitude, slow tempo and timbre of command speech greatly affect the success of speech recognition. |
topic |
arduino uno kendali perangkat pengenalan ucapan modul pengenal ucapan mikrokontroler |
url |
https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12971 |
work_keys_str_mv |
AT daniaeridani speechrecognitionandanalysisofelectricaldevicecontrolsystemsusingarduinouno AT ivansanusi speechrecognitionandanalysisofelectricaldevicecontrolsystemsusingarduinouno AT ekodidikwidianto speechrecognitionandanalysisofelectricaldevicecontrolsystemsusingarduinouno |
_version_ |
1716853904064380928 |