Klasifikasi Genre Musik Menggunakan Metode Mel-Frequency Cepstrum Coefficients dan K-Nearest Neighbors Classifier

Authors : Pandu Deski Prasetyo; Ario Yudo Husodo; I Gede Pasek Suta Wijaya
article cite 2 Year 2019
source: Jurnal Teknologi Informasi Komputer dan Aplikasinya (JTIKA )
Abstract

In the world of music, music has several types of genre genres that can be grouped, there are music genre pop, rock, blues, slow, jazz, metal, dangdut and many more. And for each person must have a genre favorite that is different from one another, but to distinguish it does not need to play music files one by one especially if the number of music files is a lot. Therefore, computer software is needed to distinguish each of these genres in order to make it easier for users to distinguish and group the types of music according to their wishes automatically. By using the MFCC and KNN methods as a classification solution to classify several types of genre streams can be easily resolved. The results achieved from this study reached 52,4% with a K = 13 as the nearest neighboring point.


Concepts :
Data Mining and Machine Learning Applications
Computer Science and Engineering
Multimedia Learning Systems
article cite 2 Year 2019 source Jurnal Teknologi Informasi Komputer dan Aplikasinya (JTIKA )
SDGs
Quality Education
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