Title:
Preliminary guidelines on the sonification of visual artworks: Linking music, sonification & visual arts

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Nadri, Chihab
Anaya, Chairunisa
Yuan, Shan
Jeon, Myounghoon
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Abstract
Sonification and data processing algorithms have advanced over the years to reach practical applications in our everyday life. Similarly, image processing techniques have improved over time. While a number of image sonification methods have already been developed, few have delved into potential synergies through the combined use of multiple data and image processing techniques. Additionally, little has been done on the use of image sonification for artworks, as most research has been focused on the transcription of visual data for people with visual impairments. Our goal is to sonify paintings reflecting their art style and genre to improve the experience of both sighted and visually impaired individuals. To this end, we have designed initial sonifications for paintings of abstractionism and realism, and conducted interviews with visual and auditory experts to improve our mappings. We believe the recommendations and design directions we have received will help develop a multidimensional sonification algorithm that can better transcribe visual art into appropriate music.
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2019-06
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Proceedings
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Licensed under Creative Commons Attribution Non-Commercial 4.0 International License.