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Design of Simulation System based on Digital Processing of Sound to Identify the Genres of Arabic Music

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2020
Authors:
M.E. ElAlami, S.M.K. Tobar, S.M. Kh, Eman A. Esmaeil
10.5120/ijca2020920814

M E ElAlami, S M K Tobar, S M Kh and Eman A Esmaeil. Design of Simulation System based on Digital Processing of Sound to Identify the Genres of Arabic Music. International Journal of Computer Applications 175(26):36-39, October 2020. BibTeX

@article{10.5120/ijca2020920814,
	author = {M.E. ElAlami and S.M.K. Tobar and S.M. Kh and Eman A. Esmaeil},
	title = {Design of Simulation System based on Digital Processing of Sound to Identify the Genres of Arabic Music},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2020},
	volume = {175},
	number = {26},
	month = {Oct},
	year = {2020},
	issn = {0975-8887},
	pages = {36-39},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume175/number26/31618-2020920814},
	doi = {10.5120/ijca2020920814},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Musical genres identification has attracted considerable attention and interest in many real world applications, and consider an important technology for music information retrieval (MIR). At present, arabic music represents important aspect of arab music heritage in its distinctive and unique nature .This paper presented a system for arabic music analysis, Mel Frequency Cepstral Coefficients (MFCC) and Short Time Energy (STE) are used to extract features for the music signal and (SVM) classifier was technique used for the purpose of classification. Result show that the proposed system is a useful for achieves state-of-the-art performance for arabic musical genres analysis.

References

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Keywords

Support vector machine (SVM) , Mel frequency cepstral coefficients (MFCC) , Music information retrieval (MIR) , Arabic musical genres, Short time energy (STE), Discrete wavelet transform (DWT)