Control of Affective Content in Music Production

نویسنده

  • António Pedro Oliveira
چکیده

This research intends to design a system to control affective content in music production. This is done by taking into account a knowledge base with mappings between affective states (happiness, sadness, etc.) and music features (rhythm, melody, etc.). The knowledge base is grounded on the state of the art done in areas of Music Psychology. An emotional description specified by the user is used to select mappings from the knowledge base. Music is retrieved from a music base (recorded sound and MIDI files) according to similarity metrics between music features (of mappings and music base). Afterward, selected music can be subject to transforming, sequencing and remixing algorithms and then played. To assess the system, listener emotional state is analysed using psychophysiological or self-report measures. The methodology underlying this system is essentially founded on Affective Computing topics.

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تاریخ انتشار 2007