Learning relationship between speech and image
Currently, studies on learning relationship between objects focus on the text domain. There are a few researchers who focus on relationship learning between objects in other domains. In these researches, they have tried to represent the qualitative description of structure of objects, and the symbolic relationship between them. This output provides symbolic meaning to the inter-object relationships which are useful for subsequent common sense reasoning and decision making. In this paper, we propose an approach to learn the relationship between a speech signal and an image. In other words, this approach can classify objects based on speech input.