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Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Stanley Lima and Álvaro Rocha
Article type: Research Article
Authors: Xi, Chen; * | Qin, Si
Affiliations: Guangxi University, Nanning, Guangxi, China
Correspondence: [*] Corresponding author. Chen Xi, Guangxi University, Nanning, Guangxi, 530004, China. E-mail: [email protected].
Abstract: At present, with the development of music, the variety of music is gradually enriched, and the piano music of ASEAN is one of the most popular music types. However, traditional music recognition is difficult to identify such a variety of music, and it cannot meet the needs of people, the design of the piano music library and the display platform is urgent and necessary, based on this, the article first established the N-grams index database, and built a music feature index database based on the learning N-grams algorithm which contains only the soprano part, finally we tested the algorithm built in this paper, and the results show that the retrieval speed of the database designed in this paper has reached the requirement, the algorithm designed in this paper has a certain degree of recognition, it can meet the daily needs of the people for the piano music of ASEAN.
Keywords: The piano music of ASEAN, music library, N-grams algorithm
DOI: 10.3233/JIFS-169640
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2861-2866, 2018
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