Abstract
Word selection has a large influence on communication of feelings or sensations in the daily discourse necessary to deepen our interpersonal relations. In the Japanese language, onomatopoeia-like words play an important role in communication sensual impressions. However, not all such terms are sound oriented. In this paper, we describe the methods and results of a neural network model for inferring the relation between a given phoneme pattern and the degree to which the word evokes an aural sensation. The objective of this research is to build an interface that enriches our sensory experience in human-computer interaction by modeling the synesthetic relation between phonemes and naturally occurring sounds.
