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Author/Affiliation: Andi Setiadi Manalu

Feature Selection for Musical Genre Classification Using a Genetic Algorithm

by Abba Suganda Girsang, Andi Setiadi Manalu and Ko-Wei Huang

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 2, Page # 162–169, 2019; DOI: 10.25046/aj040221

Abstract:

Music genre classification is an important multimedia research domain, including aspects of music piece representation, distances between genres, and categorization of music databases. The objective of this study was to develop a model for automatic classification of musical genres from audio data by using features from low-level time and frequency domains. These features can highlight…

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(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Bioinformatics (BIF))