IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5023333.html
   My bibliography  Save this article

Design and Application of Vocal Music Teaching Management System

Author

Listed:
  • Langteng Sudu
  • Vijay Kumar

Abstract

This article proposes a virtual reality-based management system for vocal music instruction. Additionally, this article proposes an improved algorithm for automatic vocal main melody extraction. The pitch saliency function calculation method is improved based on the spectral characteristics of vocal music signals in order to reduce the computational complexity and time required to extract the vocal main melody. The model presented in this article has the potential to increase the recognition accuracy of the main melody model, decrease the rate of melody localization false alarms, and increase the overall accuracy of vocal main melody extraction. Additionally, this article incorporates the extraction algorithm into the management system, making it convenient for teachers to use during instruction.

Suggested Citation

  • Langteng Sudu & Vijay Kumar, 2022. "Design and Application of Vocal Music Teaching Management System," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, June.
  • Handle: RePEc:hin:jnlmpe:5023333
    DOI: 10.1155/2022/5023333
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5023333.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5023333.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5023333?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:hin:jnlmpe:5023333. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.