IDEAS home Printed from https://ideas.repec.org/a/igg/jaci00/v16y2025i1p1-18.html

Research on the Application of Distributed Computing Intelligence in Moving Edge Computing in the Evaluation of Vocal Performance Effect

Author

Listed:
  • Xu Chen

    (Pingdingshan University, China)

Abstract

Vocal music performance is a unique art form that demands both refined singing skills and expressive stage presence. Many non-professional performers lack the stage experience needed to leave a lasting impression on their audiences, especially when compared with performers from music schools or professional groups. This deficiency contributes to employment difficulties for vocal performers. To address this issue, the study proposed using distributed edge computing to thoroughly evaluate the effectiveness of vocal performance, with validation conducted through simulation experiments. This research sought to improve performance evaluation, foster cultural development, enhance public aesthetic appreciation, and strengthen cultural services, thereby advancing national cultural initiatives.

Suggested Citation

  • Xu Chen, 2025. "Research on the Application of Distributed Computing Intelligence in Moving Edge Computing in the Evaluation of Vocal Performance Effect," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global Scientific Publishing, vol. 16(1), pages 1-18, January.
  • Handle: RePEc:igg:jaci00:v:16:y:2025:i:1:p:1-18
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.388705
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jaci00:v:16:y:2025:i:1:p:1-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.