We propose a method to locate relations and constraints between a music score and its impressions, by which we show that machine learning techniques may provide a powerful tool for composing music and analyzing human feelings.

We examine its generality by modifying some arrangements to provide the subjects with a specified impression.

This paper introduces some user interfaces, which are capable of predicting feelings and creating new objects based on seed structures, such as spectrums and their transition for sounds that have been extracted and are perceived as favorable by the test subject.

We would like to discuss a role of such interfaces in the Active Mining project.