Search Results - sharp (music)
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The musical descriptor using Fast Fourier Transform (FFT): examples in P Ramlee songs
Published 2024“…Abstract The musical descriptor can be characterize using quantitative evaluation of audio sounds. …”
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Noise exposure in the Malaysian living environment from a music education perspective
Published 2014“…Hence, it is a valid problem for music educationists to deal with both in their research and practical teaching.…”
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Sampling Synthesis Technique Applied For The Digital Generation Of Musical Tones Of Malay Folk Instruments
Published 2001“…A random survey of commercial synthesisers available shows that sampled sounds of Malay folk instruments such as the rebab, seruling and others are lacking in both fonns of software or hardware, in sharp contrast to Western classical instrument sounds where similar materials are in abundance. …”
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Whose voices? The fate of Luigi Nono’s 'Voci destroying muros'
Published 2016“…A setting of texts by female prisoners and factory workers, it marks a sharp stylistic departure from Nono's political music of the 1960s by virtue of its audible quotations of revolutionary songs, its readily intelligible text setting, and especially its retention of the diatonic structure of the song on which the piece is based, the communist “Internationale.” …”
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Analysing sound characteristics of cello and violin using fast fourier transform
Published 2024“…The unique sound characteristics of music are based on multiple harmonic frequencies that exist within the sound waves. …”
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Quantitative assessment of sound characteristics using the affinity (A), mean affinity (MA), brightness (S), mean contrast (MC), harmonicity (H) and monotony (M) of Gamelan timbre
Published 2024“…The centroid f_bar indicates the presence of frequencies other than f_0 with amplitude distribution in such a way that f_bar has a magnitude greater than f_0. f_bar does not represent the harmonic nature of sound because it is not correlated with the natural scale series of any musical instrument. The acoustic descriptors used in this work are Affinity (A), Mean Affinity (MA), Brightness (S) or Sharpness, Mean Contrast (MC), Harmonicity (H), and Monotony (M). …”
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