Proposal for Creation of Various Sign Sounds Using Interactive Genetic Algorithm

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

Yamamoto

Ogawa

2012

Self Cite

Interactive Evolutionary Computation (IEC) is well known as an effective method to create media contents suited to user's preference and objectives to use. As one of the methods, we have applied Differential Evolution, which is recent evolutionary algorithm to IEC. Concretely, we have already presented a method that creates sign sounds with Interactive Differential Evolution (IDE). This study aims to investigate fundamentally the efficacy of the IDE method in comparison with Interactive Genetic Algorithm (IGA). Two listening experiments were conducted: experiment 1 as a creation experiment with IDE and IGA, experiment 2 as a re-evaluation experiment. Target of the creation was warning sign sounds. In the experiment 2, representative five sign sounds created in both of IDE and IGA were evaluated. Sixteen males participated as subjects in the experiments. In the result of the experiment 1, IDE overcame IGA in subjective fitness value. Drastic shrink of searching space was observed in IGA, and larger time cost was observed in IDE. In the result of the experiment 2, higher fitness value in average was observed in IDE, however, the difference was not significant.

Section: B Ide Methods Optimizing Sign Soundmentioning

confidence: 99%

Section: Construction Of Ide Systemmentioning

confidence: 99%

The Efficiency of Interactive Differential Evolution in Creation of Sound Contents: In Comparison with Interactive Genetic Algorithm

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

Yamamoto

Ogawa

2012

Self Cite

“…The IDE method is based on the paired comparison-based IDE [11]. In the previous IEC studies creating sign sounds, sequential IGA was employed [19], [20]. DE is the efficient algorithm to find optimal solutions than GA.…”

Section: Ide Methods Optimizing Sign Soundmentioning

confidence: 99%

“…2 shows a correspondence between values used in DE and role of them. The correspondence was used in our previous study [20] and was developed by referring to the previous IEC studies creating sign sounds [19] and creating music melodies [22]. In the DE system, the sign sound is composed of eight successive music keys, and eighth notes were used.…”

Section: Construction Of Ide Systemmentioning

confidence: 99%

See 1 more Smart Citation

An Efficiency of Optimization Method of Sign Sound Using Interactive Differential Evolution

2011 Third International Conference on Intelligent Networking and Collaborative Systems

Ogawa

2011

Self Cite

Interactive Evolutionary Computation is well known as an effective method to create media contents suited to user's preference and objectives to use. As one of the methods, we have already presented a method that creates sign sounds with Interactive Differential Evolution (IDE). In the user's evaluation process, the user selects better one from two presented media contents. In this study, to fundamentally investigate the efficacy of the IDE method, three listening experiments were performed; experiment 1 as comparing experiment, experiment 2 as re-evaluation for subjects themselves, and experiment 3 as re-evaluation for other subjects. Target of the creation with the IDE method was warning sign sounds. Ten males participated as subjects in the experiments. In the result of the experiment 2, gradual increase of the subjective fitness value was observed. In the result of the experiment 3, increase of the subjective fitness value was not observed. These results suggested that the IDE method has a possibility to create sign sounds suited to user's preference.

An efficiency of interactive differential evolution for optimization of warning sound with reflecting individual preference

IEEJ Transactions Elec Engng

2015

Self Cite

Interactive evolutionary computation (IEC) is a method for creating media contents suited to the user's preference. Efficiency of previous IEC studies was generally investigated from the view point of optimization. However, few previous studies paid attention to their efficiency as a reflection of individual preferences. As an application of IEC, we already proposed a method that creates sign sounds using paired comparison-based interactive differential evolution (IDE). This study investigates the efficiency of the IDE for reflecting individual difference on the created sound through two experiments. In Experiment 1, the subjects searched better warning sounds with the IDE. The result of Experiment 1 showed gradual convergence of DE's vectors. In Experiment 2, the subjects evaluated four sign sounds created in Experiment 1. Two of them were created by the subject, and the other two were created by another subject. The result of Experiment 2 showed significant increase in the subjective fitness value for sounds created by the subjects themselves. Furthermore, significant difference between sounds by one subject and another was observed in the final generation. These results suggest that IDE is effective in creating warning sounds suited to each user reflecting individual difference.