Investigation of the acoustic features of Takarazuka Revue member names

Abstract

The phenomenon whereby a sound itself gives a particular impression is called sound symbolism. Although sound symbolism has been reported in various fields, the full picture has not yet been elucidated. We are therefore collecting and investigating examples of sound symbolism in order to clarify the overall picture of sound symbolism. In this study, we have taken up the names of Takarazuka Revue members as examples. We believe that the naming of Takarazuka Revue members may have a unique pattern. We investigated their acoustic features by using machine learnikng. In our study, a Convolution Neural Network (CNN) was used for the investigation. Based on the investigation result, we analyzed the acoustic characteristics about the names of Takarazuka Revue members.