Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2678
Title: Three dimensions of pitched instrument onset detection
Authors: Holzapfel, André
Stylianou, Yannis
Gedik, Ali Cenk
Bozkurt, Barış
Gedik, Ali Cenk
Bozkurt, Barış
Keywords: Group delay
Automatic music transcription
Music information retrieval
Onset detection
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Holzapfel, A., Stylianou, Y., Gedik, A. C., and Bozkurt, B. (2010). Three dimensions of pitched instrument onset detection. IEEE Transactions on Audio, Speech and Language Processing, 18(6), 1517-1527. doi:10.1109/TASL.2009.2036298
Abstract: In this paper, we suggest a novel group delay based method for the onset detection of pitched instruments. It is proposed to approach the problem of onset detection by examining three dimensions separately: phase (i.e., group delay), magnitude and pitch. The evaluation of the suggested onset detectors for phase, pitch and magnitude is performed using a new publicly available and fully onset annotated database of monophonic recordings which is balanced in terms of included instruments and onset samples per instrument, while it contains different performance styles. Results show that the accuracy of onset detection depends on the type of instruments as well as on the style of performance. Combining the information contained in the three dimensions by means of a fusion at decision level leads to an improvement of onset detection by about 8% in terms of F-measure, compared to the best single dimension. © 2010 IEEE.
URI: http://doi.org/10.1109/TASL.2009.2036298
http://hdl.handle.net/11147/2678
ISSN: 1558-7916
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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