| Summary: | 博士 === 國立交通大學 === 機械工程系所 === 104 === Emotion is a high-level feeling of psychological; it can directly reflect the feeling of people. Emotion-based algorithmic composition converts promptly emotion reactions into music parameters. The algorithmic composition is applied to compose the music pieces corresponding to the emotion of the user. Emotion-based algorithmic composition can not only catch up the user’s feeling but also make the music attach to that feeling.
The algorithmic composition musical platform (ACMP), developed in this dissertation, allows users to acquire their music needs in the cloud service and yields proper music pieces via different user requests. The advanced version, emotion-based platform, can further convert emotion coordinate into music parameters, and create materials to the algorithmic composition. In addition, the emotion coordinate can be delivered to music robots which will do different actions depending on different emotions of the users. Kansei engineering is adopted as assessment method for yielding music, and the result of questionnaire shows that the music generated by the system correlate significantly Kansei engineering adjective. User can select emotion or Kansei engineering adjective to yield proper music, so that user can create the music with their perception.
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