Muttaqin, Achmad Rizal (2015) Interaksi Interaktif Robot Nao Menggunakan Deteksi Wajah Dan Suara Bahasa Indonesia. Undergraduate thesis, Institut Technology Sepuluh Nopember.
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Abstract
Robot NAO sebagai salah satu robot humanoid memiliki banyak fitur yang
masih dapat dikembangkan. Salah satunya adalah bagaimana nantinya robot
NAO dapat berkomunikasi dengan manusia secara interaktif. Untuk
membuat robot NAO yang dapat berkomunikasi secara interaktif, dapat
dilakukan dengan mendeteksi objek di sekitarnya atau pembangkitan wicara
menggunakan Speech Engine System. Metode deteksi objek bertujuan
agar robot NAO mampu mendeteksi objek yang ada di sekitarnya, dalam
hal ini objek yang dimaksud adalah wajah manusia. Adapun Speech
Engine System yang dimaksud sebelumnya adalah gabungan dari metode
Speech to Text, mesin dialog, dan Text to Speech yang membuat robot
NAO mampu mengucapkan dan mengerti ujaran-ujaran sederhana dalam
Bahasa Indonesia. Dari sistem yang dibuat, didapatkan hasil bahwa sistem
mampu melakukan deteksi wajah secara kontinu pada range sudut 0�
sampai 30�, ujaran manusia yang mampu dideteksi dengan tepat adalah
sebesar 80.45%, ujaran manusia yang mampu direspon dengan tepat adalah
sebesar 47.58%.
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NAO Robot is a humanoid robot which still have developable features.
One of these developable features is that how NAO can communicate with
human interactively. Making interactively communicative NAO Robot can
be achieved by detecting its surrounding object visually or generating
speech using Speech Engine System. Object detection method is intended
to make NAO Robot can detect its surrounding object, which in this
case is human face. And about Speech Engine System mentioned before,
it is a system consisted of Speech to Text, dialog machine, and Text to
Speech which make NAO Robot can speak and understand simple human
speech in Indonesian Language. The resulted system is able to perform
face detection continously on angles of range between 0� and 30�, detect
human speech accurately by 80.45%, and give response to human speech
appropriately by 47.58%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 629.892 Mut i |
| Uncontrolled Keywords: | Interaksi manusia-robot, kecerdasan buatan, deteksi wajah, Speech to Text, Text to Speech |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Tondo Indra Nyata |
| Date Deposited: | 13 Jul 2018 04:30 |
| Last Modified: | 13 Jul 2018 04:30 |
| URI: | http://repository.its.ac.id/id/eprint/52222 |
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