Reference: An algorithm for recognizing the main melody of orchestral music based on artificial intelligence of music melody contour

نویسندگان

چکیده

Abstract In order to improve the recognition accuracy of symphonic music contour, this paper constructs an intelligent main melody system based on artificial intelligence technology make with certain search adaptation capabilities. Based traditional system, fundamental tone sequence symphony fragments is obtained by using extraction and short-time autocorrelation function in contour feature algorithm, which transformed into after regularization merging determine similarity signal itself. The wavelet transform method radial basis algorithm are used defects monophonic discrimination model so that technique can effectively fit contour. experiments show that: average AI-based 90.5%, significantly better than 69.5% Sound Hunter software 76.5% Shazam software. For five chords, system’s as high 98.3%, especially field hanging chords significant effects. It be seen intelligence-based provides a scientific authoritative means for dissemination development conducive improving melodies.

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ژورنال

عنوان ژورنال: Applied mathematics and nonlinear sciences

سال: 2023

ISSN: ['2444-8656']

DOI: https://doi.org/10.2478/amns.2023.1.00089