Open AccessIdentifikasi Pola Suara Pada Bahasa Jawa Meggunakan Mel Frequency Cepstral Coefficients (MFCC)
Author(s) -
Istian Kriya Almanfaluti,
Judi Prajetno Sugiono
Publication year - 2020
Publication title -
jurnal media informatika budidarma/jurnal media informatika budidarma
Language(s) - English
Resource type - Journals
eISSN - 2614-5278
pISSN - 2548-8368
DOI - 10.30865/mib.v4i1.1793
Subject(s) - mel frequency cepstrum , speech recognition , computer science , word (group theory) , feature extraction , feature (linguistics) , artificial intelligence , pattern recognition (psychology) , mathematics , linguistics , philosophy , geometry
Voice Recognition is a process of developing systems used between computer and human. The purpose of this study is to find out the sound pattern of a person based on the spoken Javanese language. This study used the Mel Frequency Cepstral Coefficients (MFCC) method to solve the problem of feature extraction from human voices. Tests were carried out on 4 users consisting of 2 women and 2 men, each saying 1 word "KUTHO", the word pronounced 5 times. The results of the testing are to get a sound pattern from the characteristics of 1 person with another person so that research using the MFCC method can produce different sound patterns