Pregled bibliografske jedinice broj: 308468
Computational modelling of segmentation processes in unaccompanied melodies
Computational modelling of segmentation processes in unaccompanied melodies // Proceedings of the 6th International Conference on Music Perception and Cognition
Keele, Ujedinjeno Kraljevstvo, 2000. str. 963-973 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Computational modelling of segmentation processes in unaccompanied melodies
Autori
Šerman, Maja ; Griffith, Niall ; Šerman, Nikola
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 6th International Conference on Music Perception and Cognition
/ - , 2000, 963-973
Skup
6th International Conference on Music Perception and Cognition
Mjesto i datum
Keele, Ujedinjeno Kraljevstvo, 05.08.2000. - 10.08.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
music perception; segmentation; computational modelling
Sažetak
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.
Izvorni jezik
Engleski
