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In music, notably in jazz, a ghost note (or a dead, muted, silenced or false note) is a musical note with a rhythmic value, but no discernible pitch when played. In musical notation, this is represented by an "X" for a note head instead of an oval, or parentheses around the note head. It should not be confused with the X-shaped notation () that raises a note to a double sharp. On stringed instruments, this is played by sounding a muted string. "Muted to the point where it is more percussive sounding than obvious and clear in pitch. There is a pitch, to be sure, but its musical value is more rhythmic than melodic or harmonic...they add momentum and drive to any bass line." Occurring in a rhythmic figure, they are purposely deemphasized, often to the point of near silence. In popular music drumming, ghost notes are ones played "very softly between the 'main' notes," (off the beat on the sixteenth notes) most often on the snare drum in a drum kit. Ghost notes are often used by electric bass players and double bass players in a range of popular music and traditional music styles. In vocal music, this style of notation represents words that are spoken in rhythm rather than sung. Ghost notes are not simply the unaccented notes in a pattern. The unaccented notes in such a pattern as a clave are considered to represent the mean level of emphasis—they are neither absolutely emphasized nor unemphasized. If one further deemphasizes one of these unaccented notes to the same or a similar extent to which the accented notes in the pattern are emphasized, then one has 'ghosted' that note. In a case in which a ghost note is deemphasized to the point of silence, that note then represents a rhythmic placeholder in much the same way as does a rest. This can be a very fine distinction, and the ability of an instrumentalist to differentiate between what is a ghost note and what is a rest is governed largely by the acoustic nature of the instrument.
[2]Paolo Prandoni, [3]LCAV, EPFL
The Karplus-Strong algorithm is a simple method to generate synthetic
sounds with arbitrary pitch. In this notebook we will explore a few
variations of the method to illustrate some basic notions of
discrete-time signal processing.
In [1]:
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import IPython
In [2]:
plt.rcParams["figure.figsize"]