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TITLE:: AttackSlope
summary:: Detect onsets and assess the nature of the attack slope
categories:: UGens>Analysis
related:: Classes/Onsets, Classes/OnsetStatistics
DESCRIPTION::
Detects onsets using an energy based detection function, and then assesses the nature of the attack slope in various ways.
CLASSMETHODS::
METHOD:: kr
control rate feature extraction
ARGUMENT:: input
audio input
ARGUMENT:: windowsize
Size in samples of the operating window for detection
ARGUMENT:: peakpicksize
parameter of onset detection
ARGUMENT:: leak
parameter of onset detection
ARGUMENT:: energythreshold
parameter of onset detection
ARGUMENT:: sumthreshold
parameter of onset detection
ARGUMENT:: mingap
Do not retrigger for detected onsets unless this number of control periods has elapsed
ARGUMENT:: numslopesaveraged
number of slopes to average (number of previous slopes to store)
returns:: (describe returnvalue here)
//[0] onset trigger (can be used as an onset detector)
//[1] corrected to minima time of last onset
//[2] most recent slope measurement
//[3] average slope calculation
//[4] raw detection function
//[5] raw peakpick function
EXAMPLES::
code::
//[0] onset trigger
//[1] corrected to minima time of last onset
//[2] most recent slope measurement
//[3] average slope calculation
//[4] raw detection function
//[5] raw peakpick function
b = Buffer.read(s, Platform.resourceDir +/+ "sounds/a11wlk01.wav")
//minimal example
(
{
//var source = SoundIn.ar;
var source = PlayBuf.ar(1,b,loop:1);
var slopeanalysis = AttackSlope.kr(source,peakpicksize:20,sumthreshold:40);
//slopeanalysis.poll;
K2A.ar(slopeanalysis);
//old now [4,5,1]
//K2A.ar([slopeanalysis[0],100*slopeanalysis[1],slopeanalysis[2]])
//K2A.ar([slopeanalysis[0],100*slopeanalysis[1],slopeanalysis[2]])
}.plot(10.0,minval:0.0,maxval:1.0)
)
::
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