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The Effect of Audio Degradation on Onset Detection Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU143898" target="_blank" >RIV/00216305:26220/22:PU143898 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.elektrorevue.cz/cz/clanky/zpracovani-signalu/0/the-effect-of-audio-degradation-on-onset-detection-systems/" target="_blank" >http://www.elektrorevue.cz/cz/clanky/zpracovani-signalu/0/the-effect-of-audio-degradation-on-onset-detection-systems/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Effect of Audio Degradation on Onset Detection Systems

  • Original language description

    Although many articles in the field of Music Information Retrieval have been introduced to improve onset detection systems, only the bare minimum focus on the degradation of input audio to increase detection accuracy. This article evaluates the accuracy of five onset detectors, including stateof-the-art machine and non-machine learning-based systems, and compares the influence of various types of audio signal degradation on musical onset detection. We used three different degradations based on impulse responses, Teager–Kaiser energy operator, and two MP3 compression settings. The results suggest that if MP3 compression of any settings is applied, the accuracy of detection systems is very similar. Using the energy operator as degradation has not improved overall detection but may offer the potential of pre-processing the neural network input signal for easier identification of onsets in a training phase. Furthermore, radio broadcast degradation increases the number of all predicted onsets in general, both true and false positives, resulting in better recall but worse precision. This information could be used to modify the pre-processing phase of neural network-based detectors and to optimize the sensitivity trade-off.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)

  • ISSN

    1213-1539

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    1-13

  • UT code for WoS article

  • EID of the result in the Scopus database