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    Music, Art and Emotion

    Depictions of the Night Inspired by Romantic Art Song

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    Author(s)
    Cupido, Conroy
    Venter, Willem
    Meyer, Jaco
    Contributor(s)
    Cupido, Conroy (editor)
    Language
    English
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    Abstract
    This book explores the ways in which four visual artists make sense of referentialism and emotion in music. By listening to five art songs by Schubert, Strauss, Fauré and Berlioz they were inspired to create new artworks as a result of their understanding of the meaning of the art songs. This was done without an understanding of the text, and the artists had to rely on referential meaning in music as well as the perceived or evoked emotions elicited by listening to the art songs. The artworks created as a result of this project were exhibited at the Aardklop National Arts Festival, entitled Nagmusiek. This was a multi-modal exhibition featuring music, art and text. This book employs Artistic Research and Phenomenology in order to understand this phenomenon, as I explored the artists’ creative processes, experiences and the tacit knowledge embedded in their artefacts. This book would provide readers access to 20 new artworks, each created as a result of the artists’ interpretation of the meaning they ascribed to art song. Their creative process is also examined and synthesised with existing literature on emotion and referentialism in music.
    URI
    https://library.oapen.org/handle/20.500.12657/59681
    Keywords
    art; music
    DOI
    10.4102/aosis.2022.BK333
    ISBN
    9781776342334, 9781776342341, 9781776342358
    Publisher
    AOSIS
    Publisher website
    https://books.aosis.co.za/index.php/ob
    Publication date and place
    2022
    Classification
    The Arts
    Music
    Pages
    278
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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