Weighing Diverse Theoretical Models on Turkish Maqam Music Against Pitch Measurements: a Comparison of Peaks Automatically Derived From Frequency Histograms With Proposed Scale Tones

dc.contributor.author Bozkurt, Barış
dc.contributor.author Yarman, Ozan
dc.contributor.author Karaosmanoğlu, M. Kemal
dc.contributor.author Akkoç, Can
dc.coverage.doi 10.1080/09298210903147673
dc.date.accessioned 2017-01-25T11:07:10Z
dc.date.available 2017-01-25T11:07:10Z
dc.date.issued 2009
dc.description.abstract Since the early 20th century, various theories have been advanced in order to mathematically explain and notate modes of Traditional Turkish music known as maqams. In this article, maqam scales according to various theoretical models based on different tunings are compared with pitch measurements obtained from select recordings of master Turkish performers in order to study their level of match with analysed data. Chosen recordings are subjected to a fully computerized sequence of signal processing algorithms for the automatic determination of the set of relative pitches for each maqam scale: f0 estimation, histogram computation, tonic detection + histogram alignment, and peak picking. For nine well-recognized maqams, automatically derived relative pitches are compared with scale tones defined by theoretical models using quantitative distance measures. We analyse and interpret histogram peaks based on these measures to find the theoretical models most conforming with all the recordings, and hence, with the quotidian performance trends influenced by them. en_US
dc.description.sponsorship TÜBİTAK en_US
dc.identifier.citation Bozkurt, B., Yarman, O., Karaosmanoğlu, M. K. and Akkoç, C. (2009). Weighing Diverse Theoretical Models on Turkish Maqam Music Against Pitch Measurements:A Comparison of Peaks Automatically Derived from Frequency Histograms with Proposed ScaleTones. Journal of New Music Research, 38(1), 45-70. doi:10.1080/09298210903147673 en_US
dc.identifier.doi 10.1080/09298210903147673 en_US
dc.identifier.doi 10.1080/09298210903147673
dc.identifier.issn 0929-8215
dc.identifier.issn 1744-5027
dc.identifier.scopus 2-s2.0-75149160923
dc.identifier.uri http://dx.doi.org/10.1080/09298210903147673
dc.identifier.uri https://hdl.handle.net/11147/2853
dc.language.iso en en_US
dc.publisher Taylor and Francis Ltd. en_US
dc.relation.ispartof Journal of New Music Research en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Turkish maqam music en_US
dc.subject Turkish music en_US
dc.subject Signal processing en_US
dc.subject Automatic pitch analysis en_US
dc.subject Automatic tonic detection en_US
dc.title Weighing Diverse Theoretical Models on Turkish Maqam Music Against Pitch Measurements: a Comparison of Peaks Automatically Derived From Frequency Histograms With Proposed Scale Tones en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Bozkurt, Barış
gdc.author.yokid 115225
gdc.bip.impulseclass C5
gdc.bip.influenceclass C4
gdc.bip.popularityclass C5
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 70 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 45 en_US
gdc.description.volume 38 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W2040971795
gdc.identifier.wos WOS:000274674000004
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 4.0
gdc.oaire.influence 5.6702847E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Signal processing
gdc.oaire.keywords Automatic tonic detection
gdc.oaire.keywords Automatic pitch analysis
gdc.oaire.keywords Turkish music
gdc.oaire.keywords Turkish maqam music
gdc.oaire.popularity 3.5456686E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0501 psychology and cognitive sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 2.78280601
gdc.openalex.normalizedpercentile 0.91
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 16
gdc.plumx.crossrefcites 13
gdc.plumx.mendeley 24
gdc.plumx.scopuscites 20
gdc.scopus.citedcount 20
gdc.wos.citedcount 13
local.message.claim 2022-06-06T11:07:02.781+0300 *
local.message.claim |rp01762 *
local.message.claim |submit_approve *
local.message.claim |dc_contributor_author *
local.message.claim |None *
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relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4018-8abe-a4dfe192da5e

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