[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v8y2023i12p183-d1292433.html
   My bibliography  Save this article

Spectrogram Dataset of Korean Smartphone Audio Files Forged Using the “Mix Paste” Command

Author

Listed:
  • Yeongmin Son

    (Department of Digital Media, Soongsil University, 50 Sadang-ro, Dongjak-gu, Seoul 07027, Republic of Korea)

  • Won Jun Kwak

    (School of Business Administration, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Republic of Korea)

  • Jae Wan Park

    (Global School of Media, Soongsil University, 50 Sadang-ro, Dongjak-gu, Seoul 07027, Republic of Korea)

Abstract
This study focuses on the field of voice forgery detection, which is increasing in importance owing to the introduction of advanced voice editing technologies and the proliferation of smartphones. This study introduces a unique dataset that was built specifically to identify forgeries created using the “Mix Paste” technique. This editing technique can overlay audio segments from similar or different environments without creating a new timeframe, making it nearly infeasible to detect forgeries using traditional methods. The dataset consists of 4665 and 45,672 spectrogram images from 1555 original audio files and 15,224 forged audio files, respectively. The original audio was recorded using iPhone and Samsung Galaxy smartphones to ensure a realistic sampling environment. The forged files were created from these recordings and subsequently converted into spectrograms. The dataset also provided the metadata of the original voice files, offering additional context and information that could be used for analysis and detection. This dataset not only fills a gap in existing research but also provides valuable support for developing more efficient deep learning models for voice forgery detection. By addressing the “Mix Paste” technique, the dataset caters to a critical need in voice authentication and forensics, potentially contributing to enhancing security in society.

Suggested Citation

  • Yeongmin Son & Won Jun Kwak & Jae Wan Park, 2023. "Spectrogram Dataset of Korean Smartphone Audio Files Forged Using the “Mix Paste” Command," Data, MDPI, vol. 8(12), pages 1-9, December.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:12:p:183-:d:1292433
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/8/12/183/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/8/12/183/
    Download Restriction: no
    ---><---

    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:gam:jdataj:v:8:y:2023:i:12:p:183-:d:1292433. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.