Lighting system adapted to music using machine learning of sound

Abstract

In recent years, there has been a huge amount of music information in this world, and classification methods for the purpose of music retrieval are being studied. In addition, the visual effect of stage lighting at concerts and other events can be an element that conveys the image of the music. The use of stage lighting requires knowledge of lighting, color, and music, as well as humen resources, and is a time-consuming task for some performance groups because it requires advance setup. The purpose of this research is to create an opportunity learning model to recommend lighting colors that match the music. In addition, we will examine music classification methods based on musical tones and visualization of music information according to emotions.