The Automated Emotional Music Generator With Emotion and Season Features

Abstract

Nowadays, there are various types of automated music generating systems to automatically compose music clips instantly; however, those randomly-generated music clips still sounded uncomfortable and discordant. This paper attempts to add with emotion and season features to assist automated music generating systems based on algorithm, and then tries to make all generative music clips sound with harmonious and emotional meaning to listeners. The automated music generator used in this topic is not only based on algorithm but also adopts Thayer’s emotional model as well as four season factors, so all music clips will not only express unique music emotions but also indicate all seasons which may match to equivalent emotions. In the experiments for this automated music generator, the resultant music is generated from high-valence presets presented as positive emotions and warmer seasons, while the opposite side presented as negative seasons as well as colder seasons. Furthermore, this kind of automated music generator can be used at the occasion of children or elders’ caretaking so that the children or elder people’s mood would be cheered up while listening to those enlightened music clips generated by the proposed music generator.