Search Method of the Vocal Quality Suited to User's Kansei Using Interactive Genetic Algorithm

Abstract

: With progress of information technology, vocal sounds have been able to edit by software. However, it is still difficult for beginner users to control vocal quality with reflecting users' intention. This study proposed a method that optimizes vocal sound suited to each user's intention by using Interactive Genetic Algorithm (IGA). IGA is an interactive type of Genetic Algorithm (GA), which is one of evolutionary algorithms searching optimal solutions. IGA employs user's subjective evaluation as fitness function in GA. Target of the proposed IGA was to find better and best parameters of vocal quality. Listening experiments were conducted to investigate the fundamental efficacy of the proposed IGA. Eleven subjects evaluated vocal sounds presented from a system based on the proposed IGA. To create vocal sounds, VOCALOID, software synthesizes vocal sounds was used. Results of the experiments showed that the proposed IGA successfully searched better parameters of vocal quality.

Investigation of the efficiency of continuous evaluation‐based interactive evolutionary computation for composing melody

“…IEC employs user's subjective evaluation for the evaluation process of evolutionary computation (EC), which is one of well‐known stochastic search methods of optimal or satisfying solutions in various problems. IEC has been applied for the design of various media contents related to senses of touch and olfactory , while it was mainly used for computer graphics and sound contents before 2000 .…”