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Auralization of Three-Dimensional Cellular Automata

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Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12693))

Abstract

An auralization tool for exploring three-dimensional cellular automata is presented. This proof-of-concept allows the creation of a sound field comprising individual sound events associated with each cell in a three-dimensional grid. Each sound-event is spatialized depending on the orientation of the listener relative to the three-dimensional model. Users can listen to all cells simultaneously or in sequential slices at will. Conceived to be used as an immersive Virtual Reality (VR) scene, this software application also works as a desktop application for environments where the VR infrastructure is missing. Subjective evaluations indicate that the proposed sonification increases the perceived quality and immersability of the system with respect to a visualization-only system. No subjective differences between the sequential or simultaneous presentations were found.

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Authors and Affiliations

  1. University of Aizu, Aizu-Wakamatsu, Japan

    Yuta Kariyado, Camilo Arevalo & Julián Villegas

Authors
  1. Yuta Kariyado
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  2. Camilo Arevalo
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  3. Julián Villegas
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Corresponding author

Correspondence to Yuta Kariyado .

Editor information

Editors and Affiliations

  1. University of A Coruña, A Coruña, Spain

    Juan Romero

  2. University of Coimbra, Coimbra, Portugal

    Tiago Martins

  3. University of A Coruña, A Coruña, Spain

    Nereida Rodríguez-Fernández

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Kariyado, Y., Arevalo, C., Villegas, J. (2021). Auralization of Three-Dimensional Cellular Automata. In: Romero, J., Martins, T., Rodríguez-Fernández, N. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2021. Lecture Notes in Computer Science(), vol 12693. Springer, Cham. https://doi.org/10.1007/978-3-030-72914-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-72914-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72913-4

  • Online ISBN: 978-3-030-72914-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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