CD Skripsi
Kontrol Robot Lengan Berbasis Perintah Suara Menggunakan Raspberry Pi 3 Dengan Metode Lpc Dan Ann
ABSTRACT
At this time, technological developments have progressed so rapidly, one of which
is in robotics with speech recognition as a robot mover. The use of speech
recognition for interactively controlled robotic propulsion can replace the robot
control system which is still manual. For this reason, the design and manufacture
of a robotic arm movement system with the introduction of voice as a control. This
study designed a system so that the robotic arm can be moved based on the voice
commands intended for use handicapped (no hands) that utilizes voice signal
extraction techniques by taking the pattern of voice commands generated by LPC
and ANN methods. Based on the design results, controlling the robotic arm with
voice recognition can be well detected. LPC method is used as feature extraction
for speech recognition, while ANN with backpropagation algorithm is used for
decision making from the resulting sound pattern. This study was tested with ten
samples for each of the four speech recognition given. The study results show that
the system can recognize the given sounds with an accuracy of 80% with a total of
40 test words from 4 types of words, namely right, left, clamp and release.
Keyword: Voice Recognition, Arm Robot, Linear Predictive Coding, Artificial
Neural Network.
Tidak tersedia versi lain