example 11: an embarassing error found by @weefuzzy (thanks!)

example 10b: a small typo found by Alice on Zoom :)

release-packaging/Examples/dataset/1-learning examples/10b-weighted-pitch-comparison.scd

@@ -59,9 +59,9 @@ b.play
 c.free
 // much better! it is even better when we move the threshold above but 0.8 confidence is quite high...  If we look at our stats we see that there are still minima in the low hundreds, and maxima in the very top...These must be statistically far enough and few enough just to mess a bit our stats, so let's use the inter-quantile range to first remove them then compute the stats.
 FluidBufStats.process(s,~pitches, stats:~stats,weights: ~scaled,outliersCutoff: 1.5)
-~stats.getn(0,14,{|x|~condidenceWeightedPitchIQRStats = x;x.reshape(7,2).do{|y| "%\t\t\t%\n".postf(y[0].round(0.1),y[1].round(0.01))}})
+~stats.getn(0,14,{|x|~confidenceWeightedPitchIQRStats = x;x.reshape(7,2).do{|y| "%\t\t\t%\n".postf(y[0].round(0.1),y[1].round(0.01))}})
 //now that is impressive!
-c = {SinOsc.ar(~condidenceWeightedPitchIQRStats[0],mul: 0.05)}.play
+c = {SinOsc.ar(~confidenceWeightedPitchIQRStats[0],mul: 0.05)}.play
 b.play
 c.free
 

release-packaging/Examples/dataset/1-learning examples/11-compositing-datasets.scd

@@ -293,16 +293,18 @@ Routine{
 ~targetPitch = Buffer(s)
 ~targetLoud = Buffer(s)
 ~targetMFCC = Buffer(s)
-~targetMFCCsub = Buffer(s)
+~targetMFCCs = Buffer(s)
+~targetMFCCsp = Buffer(s)
 ~targetTimbre = Buffer(s)
 ~targetAll= Buffer(s)
 
 ~normL.transformPoint(~flatLoudbuf[0], ~targetLoud) //normalise the loudness (all dims)
 ~normP.transformPoint(~flatPitchbuf[0], ~targetPitch) //normalise the pitch (all dims)
-FluidBufCompose.process(s,~flatMFCCbuf[0],numFrames: 24,destination: ~targetMFCCsub) // copy the process of dimension reduction above
-FluidBufCompose.process(s,~flatMFCCbuf[0],startFrame: (7*12), numFrames: 24, destination: ~targetMFCCsub,destStartFrame: 24) //keeping 48 dims
-~pca.transformPoint(~targetMFCCsub, ~targetMFCC) //then down to 4
-~normT.transformPoint(~targetMFCC, ~targetTimbre) //then normalised
+FluidBufCompose.process(s,~flatMFCCbuf[0],numFrames: 24,destination: ~targetMFCC) // copy the process of dimension reduction above
+FluidBufCompose.process(s,~flatMFCCbuf[0],startFrame: (7*12), numFrames: 24, destination: ~targetMFCC,destStartFrame: 24) //keeping 48 dims
+~stan.transformPoint(~targetMFCC,~targetMFCCs) //standardize with the same coeffs
+~pca.transformPoint(~targetMFCCs, ~targetMFCCsp) //then down to 4
+~normT.transformPoint(~targetMFCCsp, ~targetTimbre) //then normalised
 FluidBufCompose.process(s, ~targetTimbre,destination: ~targetAll) // assembling the single query
 FluidBufCompose.process(s, ~targetPitch, numFrames: 4, destination: ~targetAll, destStartFrame: 4) // copying the 4 stats of pitch we care about
 FluidBufCompose.process(s, ~targetLoud, numFrames: 4, destination: ~targetAll, destStartFrame: 8) // same for loudness