Classification of classic Turkish music makams by using deep belief networks

Merve Ayyuce Kizrak Sagun; Bulent Bolat

doi:10.1109/INISTA.2016.7571850

Classification of classic Turkish music makams by using deep belief networks

Merve Ayyuce Kizrak Sagun
, Bulent Bolat

Yildiz Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

6 Atıf (Scopus)

Özet

Automatic classification of makams from sound data is a challenging yet rarely studied topic. In this work, it is aimed to develop an MIR system which determines a song's makam. To overcome this problem, mel frequency cepstral coefficients were utilized as features. Five classifiers were considered. The best result was obtained by deep belief network as 93.10 which is comparable to the recent works.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016
Editörler	Tulay Yuldirim, Mirel Cosulschi, Adina Magda Florea, Costin Badica, Petia Koprinkova-Hristova
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781467399104
DOI'lar	https://doi.org/10.1109/INISTA.2016.7571850
Yayın durumu	Yayınlandı - 19 Eyl 2016
Harici olarak yayınlandı	Evet
Etkinlik	2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016 - Sinaia, Romania Süre: 2 Ağu 2016 → 5 Ağu 2016

Yayın serisi

Adı	Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016
Ülke/Bölge	Romania
Şehir	Sinaia
Periyot	2/08/16 → 5/08/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

Belgeye Erişim

10.1109/INISTA.2016.7571850

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Sagun, M. A. K., & Bolat, B. (2016). Classification of classic Turkish music makams by using deep belief networks. In T. Yuldirim, M. Cosulschi, A. M. Florea, C. Badica, & P. Koprinkova-Hristova (Eds.), Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016 Makale 7571850 (Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INISTA.2016.7571850

Sagun, Merve Ayyuce Kizrak ; Bolat, Bulent. / Classification of classic Turkish music makams by using deep belief networks. Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016. editör / Tulay Yuldirim ; Mirel Cosulschi ; Adina Magda Florea ; Costin Badica ; Petia Koprinkova-Hristova. Institute of Electrical and Electronics Engineers Inc., 2016. (Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016).

@inproceedings{9deb0b424d9249389da790bdf5a39997,

title = "Classification of classic Turkish music makams by using deep belief networks",

abstract = "Automatic classification of makams from sound data is a challenging yet rarely studied topic. In this work, it is aimed to develop an MIR system which determines a song's makam. To overcome this problem, mel frequency cepstral coefficients were utilized as features. Five classifiers were considered. The best result was obtained by deep belief network as 93.10 which is comparable to the recent works.",

keywords = "Classic Turkish Music Makams, Deep Belief Networks, Generalized Regression Neural Network, Mel-Frequency Cepstrum Coefficients, Probabilistic Neural Network, Radial Basis Function Network, Support Vector Machine",

author = "Sagun, \{Merve Ayyuce Kizrak\} and Bulent Bolat",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016 ; Conference date: 02-08-2016 Through 05-08-2016",

year = "2016",

month = sep,

day = "19",

doi = "10.1109/INISTA.2016.7571850",

language = "English",

series = "Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Tulay Yuldirim and Mirel Cosulschi and Florea, \{Adina Magda\} and Costin Badica and Petia Koprinkova-Hristova",

booktitle = "Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016",

address = "United States",

}

Sagun, MAK & Bolat, B 2016, Classification of classic Turkish music makams by using deep belief networks. in T Yuldirim, M Cosulschi, AM Florea, C Badica & P Koprinkova-Hristova (eds), Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016., 7571850, Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016, Institute of Electrical and Electronics Engineers Inc., 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016, Sinaia, Romania, 2/08/16. https://doi.org/10.1109/INISTA.2016.7571850

Classification of classic Turkish music makams by using deep belief networks. / Sagun, Merve Ayyuce Kizrak; Bolat, Bulent.
Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016. ed. / Tulay Yuldirim; Mirel Cosulschi; Adina Magda Florea; Costin Badica; Petia Koprinkova-Hristova. Institute of Electrical and Electronics Engineers Inc., 2016. 7571850 (Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Classification of classic Turkish music makams by using deep belief networks

AU - Sagun, Merve Ayyuce Kizrak

AU - Bolat, Bulent

PY - 2016/9/19

Y1 - 2016/9/19

N2 - Automatic classification of makams from sound data is a challenging yet rarely studied topic. In this work, it is aimed to develop an MIR system which determines a song's makam. To overcome this problem, mel frequency cepstral coefficients were utilized as features. Five classifiers were considered. The best result was obtained by deep belief network as 93.10 which is comparable to the recent works.

AB - Automatic classification of makams from sound data is a challenging yet rarely studied topic. In this work, it is aimed to develop an MIR system which determines a song's makam. To overcome this problem, mel frequency cepstral coefficients were utilized as features. Five classifiers were considered. The best result was obtained by deep belief network as 93.10 which is comparable to the recent works.

KW - Classic Turkish Music Makams

KW - Deep Belief Networks

KW - Generalized Regression Neural Network

KW - Mel-Frequency Cepstrum Coefficients

KW - Probabilistic Neural Network

KW - Radial Basis Function Network

KW - Support Vector Machine

UR - https://www.scopus.com/pages/publications/84992045348

U2 - 10.1109/INISTA.2016.7571850

DO - 10.1109/INISTA.2016.7571850

M3 - Conference contribution

AN - SCOPUS:84992045348

T3 - Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016

BT - Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016

A2 - Yuldirim, Tulay

A2 - Cosulschi, Mirel

A2 - Florea, Adina Magda

A2 - Badica, Costin

A2 - Koprinkova-Hristova, Petia

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016

Y2 - 2 August 2016 through 5 August 2016

ER -

Sagun MAK, Bolat B. Classification of classic Turkish music makams by using deep belief networks. In Yuldirim T, Cosulschi M, Florea AM, Badica C, Koprinkova-Hristova P, editörler, Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7571850. (Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016). doi: 10.1109/INISTA.2016.7571850

Classification of classic Turkish music makams by using deep belief networks

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap