Pengenalan Suara Terhadap Pergerakan Robot Beroda dengan Metode FFT
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Date
2018-07-03
Authors
Bayu, Krishna
Journal Title
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Volume Title
Publisher
Politeknik Negeri Batam
Abstract
Speech Recognition to Mobile Robot Movement With FFT Method is a system that
serves to move the robot direction based on the given sound. Usually to move a wheeled
robot someone is still using the PC or remote control. With these problems researchers
create a software system and hardware designed to recognize human voice commands. The
voice signal will be processed on PC using FFT (Fast Fourier Transform) method in
LabVIEW to find out the amplitude and frequency. Then to know the features of advanced
sound, turn right and turn left using MFCC (Mel Frequency Cepstrum Coefficients) method
then the result of these characteristics is converted into time domain then stored into
reference template by DTW (Dynamic Time Warping) method. The experimental results
show that the system can recognize forward sound, turn right, and turn left has an average
success rate of 81.1% and has an average error of 18.8%. Sound recognition errors are
caused because when the speech sounds forward, turn right, and turn left the environment
is not always quiet.
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Keywords
Teknik Elektro, Mekatronika, Teknik dan Ilmu yang Berkaitan