Supporting Multimedia Authoring by using Machine Learning

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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 speci-fied impression. This research introduces some user interfaces. They are capable of predicting feelings and creating new objects based on seed structures, such as spec-trums and their transition for sounds that have been extracted and are perceived as favorable by the test subject.