期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：5
页码：730-738
DOI：10.9756/INTJECSE/V14I5.72
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：This study aids in our analysis of the consistency with which the music genre categorization is made. A music genre is a term used to categorize certain types of music according to a predetermined set of rules. Music labels must play a role in locating and classifying digital music resources. Relying on the manual annotation to categorize in the face of a large music library will be expensive and time-consuming and won't be able to keep up with current demands. It may be broken down into many genres in a variety of ways. It might be difficult to sort music files into different genre categories. Machine learning techniques are used in the majority of contemporary music genre categorization methods.
关键词：Analysis of music;MIDI Segments;XG-Boost Classifier;Melody types
