TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games

• URL: http://arxiv.org/abs/2107.12506v1
• Date: Mon, 26 Jul 2021 22:55:57 GMT
• Title: TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games
• Authors: Emily Halina and Matthew Guzdial
• Abstract summary: Patterning is a key identifier of high quality rhythm game content, seen as a necessary component in human rankings. We establish a new approach for chart generation that produces charts with more congruent, human-like patterning than seen in prior work.
• Score: 1.590611306750623
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Generating rhythm game charts from songs via machine learning has been a problem of increasing interest in recent years. However, all existing systems struggle to replicate human-like patterning: the placement of game objects in relation to each other to form congruent patterns based on events in the song. Patterning is a key identifier of high quality rhythm game content, seen as a necessary component in human rankings. We establish a new approach for chart generation that produces charts with more congruent, human-like patterning than seen in prior work.

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