img
img
img

Akademisyenler > Ali Berkan URAL > Yayın Detayı

Artificial Intelligence based classification with classical Turkish music makams: Possibilities to Turkish music education    
Yazarlar (4)
Mert Kayış
Türkiye
Naciye Hardalaç
Gazi Üniversitesi, Türkiye
Doç. Dr. Ali Berkan URAL Doç. Dr. Ali Berkan URAL
Kafkas Üniversitesi, Türkiye
Fırat Hardalaç
Gazi Üniversitesi, Türkiye
Devamını Göster
Özet
Makams of Classical Turkish Music have been tried to be classified through various studies for the past years. Significant differences of opinion have emerged in the classification process of the makams in Music Education and Literacy from past to present. This situation creates problems in learning the makams related to music education and recognizing the makams heard. Additionally, there are uncertainties in the classification of the makam genre of the song, as individual mistakes were made while notating the musical notes. Apart from that, this situation constitutes a problem not only for the ones studying Turkish Classical Music but also for the ones interested in this certain type of Music. Therefore, the objective of the research is to contribute to the makam classification in Classical Turkish Music Education by developing an MIR system that determines the makam of the songs. Theoretically, we can extract the properties of sound signals with Time Wavelet Scattering Feature Extraction, classify them with SVM and distinguish between types of makams. In this study, upon eight different Makams, a Musical Information Retrieval system has been created via the Artificial Intelligence (AI) method of Support Vector Machines (SVM) and Time Wavelet Scattering Feature Extraction and through using a Graphics Processing Unit (GPU) accelerator for the sake of feature extraction. We performed the classification process by modeling it on the MATLAB program. The study's success rate was identified as 98.21% and it acquired a higher success rate compared to the other studies in the literature. After completing the classification procedure, the Makams were identified by sending samples belonging to different sound files from the system consisting of a database belonging to eight different Makams. In our study, the classification and detection processes were realized with nearly a hundred percent success. The difficulties encountered in classifying the makams in Classical Turkish Music mentioned above, with the application of artificial intelligence, the classification difficulty of individuals who have received this type of training or are interested in this subject has been overcome.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale
Dergi Adı African Educational Research Journal
Dergi ISSN 2354-2160
Dergi Tarandığı Indeksler ERIC
Makale Dili İngilizce
Basım Tarihi 06-2021
Cilt No 9
Sayı 2
Sayfalar 570 / 580
Doi Numarası 10.30918/AERJ.92.21.055
Makale Linki https://eric.ed.gov/?id=EJ1301264
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 9
Artificial Intelligence based classification with classical Turkish music makams: Possibilities to Turkish music education

Paylaş