OnsetSlice: corrected typo in class def, matched minima with algo, and started on a backbone of helpfile

release-packaging/Classes/FluidOnsetSlice.sc

@@ -1,5 +1,5 @@
 FluidOnsetSlice : UGen {
-	*ar { arg in = 0, function = 0, threshold = 0.1, debounce = 2, filterSize = 5, frameDelta = 0, winSize = 1024, hopSize = 256, fftSize = 1024, maFFTSize = 16384;
-		^this.multiNew('audio', in.asAudioRateInput(this), function, threshold, debounce, filterSize, frameDelta, winSize, hopSize, fftSize, maFFTSize)
+	*ar { arg in = 0, function = 0, thresh = 0.5, debounce = 2, filtSize = 5, frameDelta = 0, winSize = 1024, hopSize = -1, fftSize = -1, maxFFTSize = 16384;
+		^this.multiNew('audio', in.asAudioRateInput(this), function, thresh, debounce, filtSize, winSize, hopSize, frameDelta, fftSize, maxFFTSize)
 	}
 }

release-packaging/HelpSource/Classes/FluidOnsetSlice.schelp

@@ -0,0 +1,65 @@
+TITLE:: FluidOnsetSlice
+SUMMARY:: Spectral Difference-Based Real-Time Audio Slicer
+CATEGORIES:: Libraries>FluidDecomposition
+RELATED:: Guides/FluCoMa, Guides/FluidDecomposition
+
+DESCRIPTION::
+This class implements many spectral based onset detection algorythms, most of them taken from the literature (http://www.dafx.ca/proceedings/papers/p_133.pdf)
+
+It is part of the Fluid Decomposition Toolkit of the FluCoMa project.footnote::This was made possible thanks to the FluCoMa project ( http://www.flucoma.org/ ) funded by the European Research Council ( https://erc.europa.eu/ ) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).::
+
+The process will return an audio steam with sample-long impulses at estimated starting points of the different slices.
+
+
+CLASSMETHODS::
+
+METHOD:: ar
+	The audio rate version of the object.
+
+ARGUMENT:: in
+	The audio to be processed.
+
+ARGUMENT:: function
+		0 - Energy =sum of squares of magnitudes / nBins (\power)
+		1 - HFC = sum of (squared mag * binNum) / nBins
+		2 - SpectralFlux = dif in mag between consecutive frames (half rectified)
+		3 - MKL = sum of log of mag ratio per bin (or: sum of dif of log mag per bin) (\mkl)
+		4 - IS = itakura - saito divergence
+		5 - Cosine = cosine distance
+		6 - PhaseDev = takes 2 past frames, project to current, as anticipated steady state, then compute differences (sums) (\phase)
+		7 - WPhaseDev = same, but weighted by magnitude to remove chaos noise floor (\wphase)
+		8 - ComplexDev = same as kPhaseDev, but in the complex domain - anticipated amp(steady) and phase(projected) - complex subtraction -> sum of mag (\complex)
+		9 - RComplexDev =same as above, but rectified (\rcomplex)
+
+ARGUMENT:: thresh
+diff for each...
+
+ARGUMENT:: debounce
+	The minimum duration of a slice in number of hops.
+
+ARGUMENT:: filtSize
+	The size of a smoothing filter that is applied on the novelty curve. A larger filter filter size allows for cleaner cuts on very sharp changes.
+
+ARGUMENT:: frameDelta
+distance in samples between the comparison window (flux,mkl,kls,cosine)
+
+ARGUMENT:: winSize
+	The window size. As novelty estimation relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
+
+ARGUMENT:: hopSize
+	The window hope size. As novelty estimation relies on spectral frames, we need to move the window forward. It can be any size but low overlap will create audible artefacts.
+
+ARGUMENT:: fftSize
+	The inner FFT/IFFT size. It should be at least 4 samples long, at least the size of the window, and a power of 2. Making it larger allows an oversampling of the spectral precision.
+
+ARGUMENT:: maxFFTSize
+(describe argument here)
+
+RETURNS::
+	An audio stream with impulses at detected transients. The latency between the input and the output is XXXXXXX.
+
+EXAMPLES::
+
+code::
+(some example code)
+::