cabasa

cabasa — Semi-physical model of a cabasa sound.

Description

cabasa is a semi-physical model of a cabasa sound. It is one of the PhISEM percussion opcodes. PhISEM (Physically Informed Stochastic Event Modeling) is an algorithmic approach for simulating collisions of multiple independent sound producing objects.

Syntax

ares cabasa iamp, idettack [, inum] [, idamp] [, imaxshake]

Initialization

iamp -- Amplitude of output. Note: As these instruments are stochastic, this is only a approximation.

idettack -- period of time over which all sound is stopped

inum (optional) -- The number of beads, teeth, bells, timbrels, etc. If zero, the default value is 512.

idamp (optional) -- the damping factor, as part of this equation:

damping_amount = 0.998 + (idamp * 0.002)

The default damping_amount is 0.997 which means that the default value of idamp is -0.5. The maximum damping_amount is 1.0 (no damping). This means the maximum value for idamp is 1.0.

The recommended range for idamp is usually below 75% of the maximum value.

imaxshake (optional) -- amount of energy to add back into the system. The value should be in range 0 to 1.

Examples

Here is an example of the cabasa opcode. It uses the file cabasa.csd.

Example 93. Example of the cabasa opcode.

See the sections Real-time Audio and Command Line Flags for more information on using command line flags.

<CsoundSynthesizer>
<CsOptions>
; Select audio/midi flags here according to platform
-odac     ;;;RT audio out
;-iadc    ;;;uncomment -iadc if RT audio input is needed too
; For Non-realtime ouput leave only the line below:
; -o cabasa.wav -W ;;; for file output any platform
</CsOptions>
<CsInstruments>

sr = 44100
ksmps = 32
nchnls = 2
0dbfs = 1

instr 1 

inum	= p4
idamp	= p5               
asig	cabasa 0.9, 0.01, inum, idamp
	outs asig, asig

endin

</CsInstruments>
<CsScore>

i1 1 1 48 .95
i1 + 1 1000 .5

e

</CsScore>
</CsoundSynthesizer>


See Also

crunch, sandpaper, sekere, stix

Credits

Author: Perry Cook, part of the PhISEM (Physically Informed Stochastic Event Modeling)
Adapted by John ffitch
University of Bath, Codemist Ltd.
Bath, UK

New in Csound version 4.07

Added notes by Rasmus Ekman on May 2002.