Computational modelling of segmentation processes in unaccompanied melodies (CROSBI ID 530413)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šerman, Maja ; Griffith, Niall ; Šerman, Nikola
engleski
Computational modelling of segmentation processes in unaccompanied melodies
Segmentation processes in unaccompanied melodies is approached by use of the software MusickTracker, developed by authors, thus avoiding the use of notes inherent to Western Tonal Music. MusickTracker takes a digitally recorded music signal (.wav) as its input and calculates the values of pitch, loudness and timbre indicators in course of musical sound with the timestep of about 20 ms. By applying the MusicTracker to a fragment of Shakuhachi music it is shown that it it makes possible indicating the sound changes in timbre whic could not be revealed from the notes.
music perception; segmentation; computational modelling
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Podaci o prilogu
963-973-x.
2000.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 6th International Conference on Music Perception and Cognition
Podaci o skupu
6th International Conference on Music Perception and Cognition
predavanje
05.08.2000-10.08.2000
Keele, Ujedinjeno Kraljevstvo