A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
Media Converter with Impression Preservation Using a Neuro-Genetic Approach
International Journal of Hybrid Intelligent Systems
International Journal of Computer Games Technology - Joint International Conference on Cyber Games and Interactive Entertainment 2006
Automatic generation method of twelve tone row for musical composition used genetic algorithm
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
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MemeTube: a sentiment-based audiovisual system for analyzing and displaying microblog messages
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MM '11 Proceedings of the 19th ACM international conference on Multimedia
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This paper describes the construction of the system which generates variations on a theme music fitting to story scenes represented by texts and/or pictures. Inputs to the present system are an original theme music and numerical information on given story scenes. The present system varies (1) melodies, (2) tempos, (3) tones, (4) tonalities, and (5) accompaniments of given theme music based on impressions of story scenes. Genetic algorithms using neural network models as fitness functions are applied to the music generation in order to reflect user's feelings on music and stories. This paper also describes the evaluation experiments to confirm whether the generated variations on a theme music reflect impressions of generated story scenes appropriately or not.