Abstract
This paper describes the generation of story texts from some pictures and transformation of a theme music based on impressions of the generated story. Story texts are generated from information on some pictures. The generation of stories considers the contents of pictures and the connective consistent relationship between pictures. The case based reasoning method is applied to the generation of story texts. The transformed theme music is used as a back ground music fitting the generated story. Neural network models are applied to transform the theme music in order to reflect user's feelings for music and stories. This paper also describes the evaluation experiments to confirm whether the transformed theme music reflects impressions of generated story scenes appropriately or not.
