Citation

Sitharan, Roopesh and Haron, Anis (2026) Akousis An AI-Driven Sonification of Botanical Taxonomy. In: ARTECH '25: Proceedings of the 2025 12th International Conference on Digital and Interactive Arts: Media Art Cultures, Communities & Territories, 26 - 28 November 2025, Braga Portugal.

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Abstract

Akousis is an art project that utilizes AI to contort the taxonomy of the natural world as defined by the coupling of visual and language. Using Pl@net API that identifies the scientific names of the flowers through visual identification engine, such identification is then used as input for musical cryptogram to create musical composition of a flower based on its nomenclature and visual indexing. In this way, Akousis explores the potential of AI in facilitating the possibility of linking knowledge taxonomy with hearing, simultaneously bridging the realms of botany, machine learning and musical expression. As the generated music emerges as a sonification of botanical taxonomy, it embodies a form of experimental and improvised index of the world, where the inherent qualities of each flower, encoded into musical motifs, give rise to a diverse array of sonic textures and structures. Akousis aligns its focus on performative systems and experimental music.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Nomenclature, Sonification, Computer Music, Artificial Intelligent
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	04 Jun 2026 06:04
Last Modified:	08 Jun 2026 09:19
URII:	http://shdl.mmu.edu.my/id/eprint/15932

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