KLASIFIKASI JENIS MUSIK MENGGUNAKAN SUPPORT VECTOR MACHINE (SVM)

ARAFAH, MUTIA ALDINA and Efendi, Rusdi and Sazaki, Yoppy (2018) KLASIFIKASI JENIS MUSIK MENGGUNAKAN SUPPORT VECTOR MACHINE (SVM). Undergraduate thesis, Sriwijaya University.

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Abstract

The classification of music types can be done in two ways, ie manually and automatically. Music classification is used in the compilation of music catalogs or music libraries. In this study, developed a software that can perform the classification process automatically. The input of this software is an audio file and the output is a type of music from the audio. This process is obtained by processing the audio with preprocessing stages of the process of framing and windowing. Signals are transformed with Fast Fourier Transform to extract features of Short Time Energy, Spectral Centroid, Spectral Roll-Off, Spectral Flux, Energy Entropy and Zero Crossing Rate. At the classification stage, research using Support Vector Machine (SVM) with the result of accuracy reached 51.4%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Music Classification, Feature Extractor, Support Vector Machine
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q223.M517 Science -- Information services. Information storage and retrieval systems --Science.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	25 Sep 2019 03:11
Last Modified:	25 Sep 2019 03:11
URI:	http://repository.unsri.ac.id/id/eprint/8767

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