: 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.

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