A Proposal for Interactive Evolutionary Computation Creating ASMR Sounds with Adjustment of Number of Source Sounds

Abstract

Autonomous Sensory Meridian Response (ASMR) is a popular online movie content known for its properties of tingling effects. Creating ASMR content for each user is important because there are individual content preferences. An Interactive Genetic Algorithm (IGA) is a method to search for media content suited to each user’s feelings. This study proposes that the IGA adjusts the number of source sounds with a duplication rule. The adjustment is expected to dedicate the effective search because the proposed approach can produce various sounds. The efficiency of the proposed IGA is investigated with a listening experiment. As a result, increases in evaluation values were observed. The number of source sounds played by the system was also investigated.