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arXiv · 2311.13687

Beat-Aligned Spectrogram-to-Sequence Generation of Rhythm-Game Charts

Jayeon Yi·Sungho Lee·Kyogu Lee
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Abstract

In the heart of "rhythm games" - games where players must perform actions in sync with a piece of music - are "charts", the directives to be given to players. We newly formulate chart generation as a sequence generation task and train a Transformer using a large dataset. We also introduce tempo-informed preprocessing and training procedures, some of which are suggested to be integral for a successful training. Our model is found to outperform the baselines on a large dataset, and is also found to benefit from pretraining and finetuning.

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BibTeXRIS

Jayeon Yi, Sungho Lee, Kyogu Lee. 2023-11-22. Beat-Aligned Spectrogram-to-Sequence Generation of Rhythm-Game Charts. https://arxiv.org/abs/2311.13687

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