A Music Information Retrieval Approach to Classify Sub-Genres in Role Playing Games
Daeun Hwang, Xuyuan Cai, Edward F. Melcer, and Elin Carstensdottir

TL;DR
This paper presents a systematic method for classifying sub-genres of role-playing game music based on quantifiable musical features, revealing correlations with genre perceptions and storytelling elements.
Contribution
It introduces a novel approach to analyze and classify VGM sub-genres using extracted musical features, filling a gap in genre-specific music analysis.
Findings
Identified distinct musical features for different RPG sub-genres
Correlated musical features with genre perceptions and storytelling
Provided a basis for automated sub-genre classification
Abstract
Video game music (VGM) is often studied under the same lens as film music, which largely focuses on its theoretical functionality with relation to the identified genres of the media. However, till date, we are unaware of any systematic approach that analyzes the quantifiable musical features in VGM across several identified game genres. Therefore, we extracted musical features from VGM in games from three sub-genres of Role-Playing Games (RPG), and then hypothesized how different musical features are correlated to the perceptions and portrayals of each genre. This observed correlation may be used to further suggest such features are relevant to the expected storytelling elements or play mechanics associated with the sub-genre.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Games and Media · Artificial Intelligence in Games · Educational Games and Gamification
