Sistem Pengenalan Vokal Menggunakan Sinyal Electromyograph (EMG)

Toyiba, Romlah (2012) Sistem Pengenalan Vokal Menggunakan Sinyal Electromyograph (EMG). Other thesis, Institut Teknologi Sepuluh Nopember.

Text 2205100035-Undergarduate_Thesis.pdf - Accepted Version Download (5MB)

Abstract

Kanker laring merupakan keganasan pada pita suara atau daerah lainnya di tenggorokan. Kanker laring biasanya diobati dengan operasi pengangkatan laring atau terapi radiasi yang juga disebut radioterapi. Cara pengobatan yang dilakukan dengan operasi pengangkatan laring menyebabkan penderita kanker laring kehilangan suaranya untuk selamanya. Electromyograph (EMG) merupakan sebuah alat untuk rnendeteksi potensial listrik yang dihasilkan oleh sel otot. Potensial Jjstrik yang dihasilkan oleh sel otot artikulasi akan digunakan untuk rnengenali pengucapan huruf vokal. Dengan sistem pengenalan vokal menggunakan sinyal Electromyograph (EMG) diharapkan kata yang akan diucapkan dapat dikenali sehlngga selanjutnya diproses untuk membangkitkan voice generator. Pada tugas akhir ini dirancang sistem pengenalan vokal menggunakan sinyal EMG yang bekerja dengan mengolah sinyal dari otot artikulasi. Hasil Penelitian ini mampu membedakan sinyal ucapan vokal A,I,O dan U dengan keberhasilan sebesar 37%
====================================================================================================================================
Laryngeal cancer is a malignancy of the vocal cords or other areas of the throat. Laryngeal cancer is usually treated with surgery to remove the larynx or radiation therapy, also called radiotherapy. The treatment method carried out by surgery to remove the larynx causes patients with laryngeal cancer to lose their voice forever. Electromyograph (EMG) is a tool for detecting electrical potentials produced by muscle cells. The electrical potential produced by the articulation muscle cells will be used to recognize the pronunciation of vowels. With a vocal recognition system using Electromyograph (EMG) signals, it is hoped that the words to be spoken can be recognized so that they are then processed to generate a voice generator. In this final project, a vocal recognition system is designed using EMG signals that work by processing signals from the articulation muscles. The results of this study were able to distinguish vocal speech signals A, I, O and U with a success rate of 37%

Item Type:	Thesis (Other)
Additional Information:	RSE 616.740 745 7 Ron s-1 2012
Uncontrolled Keywords:	EMG
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing.
Divisions:	Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	EKO BUDI RAHARJO
Date Deposited:	29 Apr 2025 12:24
Last Modified:	29 Apr 2025 12:24
URI:	http://repository.its.ac.id/id/eprint/119046

Actions (login required)

View Item