Sistem Pengenalan Vokal Menggunakan Sinyal Electromyograph (EMG)

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

Text 2205100035-Undergraduate_Thesis.pdf Restricted to Repository staff only Download (4MB) | Request a copy

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 mendeteksi potensial listrik yang dihasilkan oleh sel otot. Potensial listrik yang dihasilkan oleh sel otot artikulasi akan digunakan untuk mengenali pengucapan huruf vokal. Dengan sistem pengenalan vokal menggunakan sinyal Electromyograph (EMG) diharapkan kata yang akan diucapkan dapat dikenali sehingga selanjutnya diproses untuk membangkitkan voice generator. Pada tugas akhir ini dirancang system pengenalan vokal menggunakan sinyal EMG yang bekerja dengan mengolah sinyal dari otot artikulasi. Hasil Penelitian ini mampu membedakan sinyal ucapan vocal A,I,O dan U dengan keberhasilan sebesar 37% .
====================================================================================================================================
Cancer of the larynx is a malignancy on vocal cords or others area in throat. Cancer of the larynx is usually cured with surgical removal of the larynx or with radiation therapy, which also called radiotherapy. The treatment which is performed with surgical removal of the larynx can cause patients of larynx cancer lose his voice forever. With the vowel recognition system using Electromyograph signal (EMG). It was expected that spoken word could be identified and further processed to generate a voice generator. In this final project, vowel recognition system is designed by using the EMG signal that processed from the signals of the articulation muscle. Electromyograph (EMG) is a tool to detect the electric potential generated by muscle cells. It can be used to identify the pronunciation of vowels. The success rate of this research to distinguish vowel speech signals A, I, O and was 37%.

Item Type:	Thesis (Other)
Additional Information:	RSE 616.740 754 7 Rom s 2012 3100012047260 (WEEDING)
Uncontrolled Keywords:	EMG
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electromagnetic Devices
Divisions:	Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Anis Wulandari
Date Deposited:	26 Jan 2026 08:55
Last Modified:	26 Jan 2026 08:55
URI:	http://repository.its.ac.id/id/eprint/130437

Actions (login required)

View Item