Presentation
Machine Learning Aided Content Creation In『Love Live！School Idol Festival ALL STARS』~ Automatic rhythm game charts generation with deep learning
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DescriptionIn this session, we will introduce our attempts to support rhythm game chart creation in mobile game 『Love Live！School Idol Festival ALL STARS』using machine learning.
We built a deep learning based in-house software to achieve a more efficient workflow, which squeezed the time required to make in-game charts by up to 50%.
Our deep learning model generates in-game charts from mel spectrograms of songs. We will also highlight some of the trial-and-error processes with various machine learning methods such as GAN(Generative adversarial network).
We built a deep learning based in-house software to achieve a more efficient workflow, which squeezed the time required to make in-game charts by up to 50%.
Our deep learning model generates in-game charts from mel spectrograms of songs. We will also highlight some of the trial-and-error processes with various machine learning methods such as GAN(Generative adversarial network).
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