No abstract

Many papers and books on improving voice quality exist around the world. This suggests that some people want to change their voice. However, there is a difficult image on improving voice quality. The reason is that objectively evaluating your own voice training is difficult. In this study, to improve the voice quality based on the user's voice, we propose a method to create ideal voice heard from other's using software UTAU and Interactive Differential Evolution. As result of the search and evaluation experiments, the evaluation values significantly increased from the initial to the final generations. These results showed that the proposed method has the possibility of making the ideal voice of the user. Furthermore, overall convergence was observed when in the transition of individual parameters. Especially, in the transition of the parameter related to voice formant, obvious convergence was confirmed in 13 out of all 14 subjects.

No abstract

Warning alerts are used in situations of the earthquake and so on. In these cases, the warning impression for people is needed to quickly take shelter; however, it sometimes also affords uncomfortableness. The purpose of this study is to propose an Interactive Evolutionary Computation which adjusts the impression of the warning alert by using a set of sound effectors. The target of the search is the appropriate parameters of the effectors on the Earthquake Early Warning alert. Differential Evolution (DE) is used as an evolutionary algorithm, and the efficiency of the Interactive DE for adjusting the impression was investigated through a listening experiment. In the search step, the subjects compared two alerts and selected a better one repeatedly. In the evaluation step, the subjects evaluated the created alerts and the original alert. The results showed a significant increase in fitness by the proposed Interactive DE and effective search processes.