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    The Race of Sound

    Listening, Timbre, and Vocality in African American Music

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    Author(s)
    Eidsheim, Nina Sun
    Collection
    Toward an Open Monograph Ecosystem (TOME)
    Language
    English
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    Abstract
    In The Race of Sound Nina Sun Eidsheim traces the ways in which sonic attributes that might seem natural, such as the voice and its qualities, are socially produced. Eidsheim illustrates how listeners measure race through sound and locate racial subjectivities in vocal timbre—the color or tone of a voice. Eidsheim examines singers Marian Anderson, Billie Holiday, and Jimmy Scott as well as the vocal synthesis technology Vocaloid to show how listeners carry a series of assumptions about the nature of the voice and to whom it belongs. Outlining how the voice is linked to ideas of racial essentialism and authenticity, Eidsheim untangles the relationship between race, gender, vocal technique, and timbre while addressing an undertheorized space of racial and ethnic performance. In so doing, she advances our knowledge of the cultural-historical formation of the timbral politics of difference and the ways that comprehending voice remains central to understanding human experience, all the while advocating for a form of listening that would allow us to hear singers in a self-reflexive, denaturalized way.
    URI
    http://library.oapen.org/handle/20.500.12657/22281
    Keywords
    voice; race; timbre
    DOI
    10.1215/9781478090359
    ISBN
    9780822372646; 9780822368687; 9780822368564
    Publisher
    Duke University Press
    Publisher website
    https://www.dukeupress.edu/
    Publication date and place
    Durham, 2019
    Classification
    Theory of music and musicology
    Pages
    288
    Rights
    http://creativecommons.org/licenses/by-nc-nd/3.0/
    • 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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