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Authors: Elizabeth Nurmiyati Tamatjita 1 and Aditya Wikan Mahastama 2

Affiliations: 1 Teknik Informatika, PTK, STMIK Widuri, 1Jl Palmerah Barat No. 353, Jakarta 12210, Indonesia, Indonesia ; 2 FTI, Teknik Informatika, UKDW, Jl. Dr. Wahidin Sudirohusodo No. 5-25, Yogyakarta 55224, Indonesia, Indonesia

Keyword(s): Traditional Music, Modern Music, Time Domain, NCC, k-NN

Abstract: Music is a means of interaction between humans which is transmitted as a presentation of feelings through acoustic sensation. Music consists of instruments played ensemble, occasionally with vocal, to form a harmony. The presence of certain instruments can be used to identify the genre of a music, and in turn its origin. This research conducted classification of traditional, local contemporary, and foreign music – from Indonesian point of view – according to instruments and beats. Genres chosen to represent the music in this research, fall into six categories: Balinese, Javanese, Sundanese (traditional), Keroncong (local contemporary), Classical and Latin (foreign). 180 pieces of music are used for training, and the same number of pieces are used for testing; using samples of pieces with instruments only and also instruments with vocal. To extract its features, each music pieces are cut into 30ms slices, then a representative vector of 3 time-domain features is taken from every piece . Classification of test data is then conducted using Nearest Centroid Classifier (NCC) and k-Nearest Neighbour (k-NN) with k=3 and k=5. Best results are obtained using k-NN with k=3, generating the maximum 96.6% accuracy for Balinese, with an all-genre average of 73.89%. The lowest accuracy rate belongs to Classical category, in which from the three tests, it is consistently rated under 50% with average of 36.67%. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Tamatjita, E. and Mahastama, A. (2020). Classification of Traditional and Modern Music using NCC and k-NN. In Proceedings of the 1st International Conference on Intermedia Arts and Creative Technology - CREATIVEARTS, ISBN 978-989-758-430-5, pages 112-117. DOI: 10.5220/0008527301120117

@conference{creativearts20,
author={Elizabeth Nurmiyati Tamatjita. and Aditya Wikan Mahastama.},
title={Classification of Traditional and Modern Music using NCC and k-NN},
booktitle={Proceedings of the 1st International Conference on Intermedia Arts and Creative Technology - CREATIVEARTS,},
year={2020},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008527301120117},
isbn={978-989-758-430-5},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Intermedia Arts and Creative Technology - CREATIVEARTS,
TI - Classification of Traditional and Modern Music using NCC and k-NN
SN - 978-989-758-430-5
AU - Tamatjita, E.
AU - Mahastama, A.
PY - 2020
SP - 112
EP - 117
DO - 10.5220/0008527301120117

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