Three Dimensions of Pitched Instrument Onset Detection

dc.contributor.author Holzapfel, Andre
dc.contributor.author Bozkurt, Barış
dc.contributor.author Stylianou, Yannis
dc.contributor.author Gedik, Ali Cenk
dc.contributor.author Gedik, Ali Cenk
dc.contributor.author Bozkurt, Barış
dc.coverage.doi 10.1109/TASL.2009.2036298
dc.date.accessioned 2016-12-26T13:58:28Z
dc.date.available 2016-12-26T13:58:28Z
dc.date.issued 2010
dc.description.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. en_US
dc.identifier.citation 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 en_US
dc.identifier.doi 10.1109/TASL.2009.2036298 en_US
dc.identifier.doi 10.1109/TASL.2009.2036298
dc.identifier.issn 1558-7916
dc.identifier.scopus 2-s2.0-77955730228
dc.identifier.uri http://doi.org/10.1109/TASL.2009.2036298
dc.identifier.uri https://hdl.handle.net/11147/2678
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof IEEE Transactions on Audio, Speech and Language Processing en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Group delay en_US
dc.subject Automatic music transcription en_US
dc.subject Music information retrieval en_US
dc.subject Onset detection en_US
dc.title Three Dimensions of Pitched Instrument Onset Detection en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Gedik, Ali Cenk
gdc.author.institutional Bozkurt, Barış
gdc.author.yokid 106412
gdc.author.yokid 115225
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Electrical and Electronics Engineering en_US
gdc.description.endpage 1527 en_US
gdc.description.issue 6 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 1517 en_US
gdc.description.volume 18 en_US
gdc.identifier.openalex W2152429995
gdc.identifier.wos WOS:000288375700038
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 13.0
gdc.oaire.influence 1.0746597E-8
gdc.oaire.isgreen true
gdc.oaire.keywords Other Engineering and Technologies
gdc.oaire.keywords Automatic music transcription
gdc.oaire.keywords Onset detection
gdc.oaire.keywords Music information retrieval
gdc.oaire.keywords Automatic music transcription; group delay; music information retrieval; onset detection
gdc.oaire.keywords Annan teknik
gdc.oaire.keywords Group delay
gdc.oaire.popularity 6.912068E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0305 other medical science
gdc.openalex.collaboration International
gdc.openalex.fwci 6.26131352
gdc.openalex.normalizedpercentile 0.97
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 38
gdc.plumx.crossrefcites 32
gdc.plumx.mendeley 49
gdc.plumx.scopuscites 61
gdc.scopus.citedcount 61
gdc.wos.citedcount 32
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