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
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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
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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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
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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
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EID of the result in the Scopus database
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