Utilization of genetic algorithm in classifying Filipino and Korean music through distinct windowing and perceptual features

• Main Authors: Mital, Matt Ervin G., Tobias, Rogelio Ruzcko, Bandala, Argel A., Billones, Robert Kerwin, Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Genetic algorithms; Machine learning; Music; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/397; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1396/type/native/viewcontent
• Institution: De La Salle University

Classification of songs or music in terms of genre, era and any other categories has been sought to be one of the most common yet significant research fields in digital signal processing. Usually, the aim to distinguish musical patterns is only limited to one general type (e.g., American Music). The...