{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T22:53:40Z","timestamp":1773356020808,"version":"3.50.1"},"reference-count":34,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2017,5,24]],"date-time":"2017-05-24T00:00:00Z","timestamp":1495584000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[2017,9]]},"abstract":"<jats:p> Musical information retrieval (MIR) applications have become an interesting topic both for researchers and commercial applications. The majority of the current knowledge on MIR is based on Western music. However, traditional genres, such as Classical Turkish Music (CTM), have great structural differences compared with Western music. Then, the validity of the current knowledge on this subject must be checked on such genres. Through this work, a MIR application that simulates the human music processing system based on CTM is proposed. To achieve this goal, first mel-frequency cepstral coefficients (MFCCs) and delta-MFCCs, which are the most frequent features used in audio applications, were used as features. In the last few years deep belief networks (DBNs) have become promising classifiers for sound classification problems. To confirm this statement, the classification accuracies of four probability theory-based neural networks, namely radial basis function networks, generalized regression neural networks, probabilistic neural networks, and support vector machines, were compared to the DBN. Our results show that the DBN outperforms the others. <\/jats:p>","DOI":"10.1177\/0037549717708615","type":"journal-article","created":{"date-parts":[[2017,5,24]],"date-time":"2017-05-24T14:46:36Z","timestamp":1495637196000},"page":"749-757","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["A musical information retrieval system for Classical Turkish Music makams"],"prefix":"10.1177","volume":"93","author":[{"given":"Merve Ayy\u00fcce","family":"K\u0131zrak","sequence":"first","affiliation":[{"name":"Faculty of Engineering, Halic University, Turkey"}]},{"given":"B\u00fclent","family":"Bolat","sequence":"additional","affiliation":[{"name":"Electrical & Electronics Faculty, Yildiz Technical University, Turkey"}]}],"member":"179","published-online":{"date-parts":[[2017,5,24]]},"reference":[{"key":"bibr1-0037549717708615","first-page":"144","volume":"8","author":"S\u00fcmb\u00fcll\u00fc HT","year":"2011","journal-title":"Int J Hum Sci"},{"key":"bibr2-0037549717708615","first-page":"334","volume-title":"International conference on music information retrieval (ISMIR)","author":"Moelants D"},{"key":"bibr3-0037549717708615","volume-title":"17th IEEE signal processing and communications applications conference (SIU 2009)","author":"Bozkurt B"},{"key":"bibr4-0037549717708615","unstructured":"Arel HS. T\u00fcrk musikisi nazariyati dersleri. In: Akdogu Onur (ed.). Ankara: Ministry of Culture Press, 1993."},{"key":"bibr5-0037549717708615","volume-title":"Musiki Nazariyat\u0131","author":"Yekta R","year":"1997"},{"key":"bibr6-0037549717708615","volume-title":"Innovations in intelligent systems and applications (INISTA 2016)","author":"Kizrak MA"},{"key":"bibr7-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.06.017"},{"key":"bibr8-0037549717708615","volume-title":"15th Turkish symposium on artificial intelligence and neural networks (TAINN)","author":"Alpko\u00e7ak A"},{"key":"bibr9-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1080\/09298215.2013.870211"},{"key":"bibr10-0037549717708615","volume-title":"Conference on interdisciplinary musicology","author":"Gedik AC"},{"key":"bibr11-0037549717708615","volume-title":"9th international workshop on content-based multimedia indexing (CBMI)","author":"Ioannidis L"},{"key":"bibr12-0037549717708615","first-page":"25","volume-title":"Ak\u0131ll\u0131 sistemlerde yenilikler ve uygulamalar\u0131 sempozyumu (ASYU 2012)","author":"Kalender N"},{"key":"bibr13-0037549717708615","volume-title":"20th IEEE signal processing and communications applications conference (SIU 2012)","author":"Kalayc\u0131 I"},{"key":"bibr14-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1080\/09298215.2013.864681"},{"key":"bibr15-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1080\/09298215.2013.879902"},{"key":"bibr16-0037549717708615","volume-title":"Innovations in intelligent systems and applications (INISTA 2014)","author":"Kizrak MA"},{"key":"bibr17-0037549717708615","volume-title":"23rd IEEE signal processing and communications applications conference (SIU)","author":"K\u0131zrak MA"},{"key":"bibr18-0037549717708615","unstructured":"Senturk S, Serra X. Composition identification in Ottoman-Urkish makam music using transposition-invariant partial audio-score alignment, http:\/\/mtg.upf.edu\/system\/files\/publications\/senturk2016compositionIdentification_smc_0.pdf (2016, accessed 10 February 2017)."},{"key":"bibr19-0037549717708615","volume-title":"2nd computer music workshop","author":"\u00dcnal E"},{"key":"bibr20-0037549717708615","first-page":"223","volume-title":"13th international society for music information retrieval conference","author":"Karaosmano\u011flu MK"},{"key":"bibr21-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1080\/09298215.2013.865760"},{"key":"bibr22-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288863"},{"key":"bibr23-0037549717708615","volume-title":"IEEE 2014 international conference on acoustics, speech, and signal processing (ICASSP 2014)","author":"Zhang C"},{"key":"bibr24-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2109382"},{"key":"bibr25-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(00)00064-7"},{"key":"bibr26-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1109\/72.97934"},{"key":"bibr27-0037549717708615","volume-title":"IEEE Pacific Rim conference on multimedia","author":"Wong HS","year":"2000"},{"key":"bibr28-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(90)90049-Q"},{"key":"bibr29-0037549717708615","volume-title":"Statistical learning theory","author":"Vapnik VN","year":"1998"},{"key":"bibr30-0037549717708615","volume-title":"13th international society for music informational retrieval conference","author":"Humphrey EJ"},{"key":"bibr31-0037549717708615","first-page":"153","volume-title":"Advances in neural information processing systems 19 (NIPS\u201806)","author":"Bengio Y"},{"key":"bibr32-0037549717708615","volume-title":"2nd computer music workshop","author":"Bozkurt B"},{"key":"bibr33-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2007.899293"},{"key":"bibr34-0037549717708615","doi-asserted-by":"publisher","DOI":"10.1007\/s00521\u2013016\u20132501\u20137"}],"container-title":["SIMULATION"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0037549717708615","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/0037549717708615","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0037549717708615","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T06:41:32Z","timestamp":1740897692000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0037549717708615"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,24]]},"references-count":34,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2017,9]]}},"alternative-id":["10.1177\/0037549717708615"],"URL":"https:\/\/doi.org\/10.1177\/0037549717708615","relation":{},"ISSN":["0037-5497","1741-3133"],"issn-type":[{"value":"0037-5497","type":"print"},{"value":"1741-3133","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,24]]}}}