TITLE:: FluidStandardize summary:: Standardize a FluidDataSet categories:: FluidManipulation related:: Classes/FluidDataSet, Classes/FluidStandardize DESCRIPTION:: Standardize a link::Classes/FluidDataSet::, i.e. rescale using its mean(s) and standard deviation(s) in each dimension. See http://www.faqs.org/faqs/ai-faq/neural-nets/part2/section-16.html CLASSMETHODS:: METHOD:: new Create a new instance ARGUMENT:: server The server for this model INSTANCEMETHODS:: METHOD:: fit Fit model to a DataSet without applying scaling ARGUMENT:: dataSet The link::Classes/FluidDataSet:: to standardize ARGUMENT:: action A function to run when processing is complete METHOD:: transform Standardize a link::Classes/FluidDataSet::, using the learned statistics from a previous call to link::Classes/FluidStandardize#fit:: ARGUMENT:: sourceDataSet The link::Classes/FluidDataSet:: to standardize ARGUMENT:: destDataSet The link::Classes/FluidDataSet:: to populate with standardized data ARGUMENT:: action A function to run when processing is complete METHOD:: fitTransform Standardize a link::Classes/FluidDataSet:: into another link::Classes/FluidDataSet:: ARGUMENT:: sourceDataSet The link::Classes/FluidDataSet:: to standardize ARGUMENT:: destDataSet The link::Classes/FluidDataSet:: to populate with standardized data ARGUMENT:: action A function to run when processing is complete METHOD:: transformPoint Standardize a new data point, using the learned statistics from a previous call to link::Classes/FluidStandardize#fit:: ARGUMENT:: sourceBuffer A link::Classes/Buffer:: with the new data point ARGUMENT:: destBuffer A link::Classes/Buffer:: to contain the standardize value ARGUMENT:: action A function to run when processing is complete EXAMPLES:: code:: s.boot; //Preliminaries: we want some audio, a couple of FluidDataSets, some Buffers and a FluidStandardize ( ~audiofile = File.realpath(FluidBufPitch.class.filenameSymbol).dirname +/+ "../AudioFiles/Tremblay-ASWINE-ScratchySynth-M.wav"; ~raw = FluidDataSet(s,\stand_help_raw); ~stand = FluidDataSet(s,\stand_help_standd); ~audio = Buffer.read(s,~audiofile); ~pitch_feature = Buffer.new(s); ~stats = Buffer.alloc(s, 7, 2); ~standardizer = FluidStandardize(s); ) // Load audio and run a pitch analysis, which gives us pitch and pitch confidence (so a 2D datum) ( ~audio = Buffer.read(s,~audiofile); FluidBufPitch.process(s,~audio, features: ~pitch_feature); ) // Divide the time series in to 10, and take the mean of each segment and add this as a point to // the 'raw' FluidDataSet ( { var trig = LocalIn.kr(1, 1); var buf = LocalBuf(2, 1); var count = PulseCount.kr(trig) - 1; var chunkLen = (~pitch_feature.numFrames / 10).asInteger; var stats = FluidBufStats.kr( source: ~pitch_feature, startFrame: count * chunkLen, numFrames: chunkLen, stats: ~stats, trig: trig ); var rd = BufRd.kr(2, ~stats, DC.kr(0), 0, 1);// pick only mean pitch and confidence var wr1 = BufWr.kr(rd[0], buf, DC.kr(0)); var wr2 = BufWr.kr(rd[1], buf, DC.kr(1)); var dsWr = FluidDataSetWr.kr(\stand_help_raw, buf: buf, trig: Done.kr(stats)); LocalOut.kr( Done.kr(dsWr)); FreeSelf.kr(count - 9); }.play; ) // Standardize and load to language-side array ( ~rawarray = Array.new(10); ~stdarray= Array.new(10); ~standardizer.fitTransform(~raw,~stand, { ~raw.dump{|x| 10.do{|i| ~rawarray.add(x["data"][i.asString]) }}; ~stand.dump{|x| 10.do{|i| ~stdarray.add(x["data"][i.asString]) }}; }); ) ( ~rawarray.flatten(1).unlace.plot("Unstandardized",Rect(0,0,400,400),minval:0,maxval:[5000,1]).plotMode=\bars; ~plot2 = ~stdarray.flatten(1).unlace.plot("Standardized",Rect(410,0,400,400)).plotMode=\bars; ) :: subsection::Server Side Querying Because FluidStandardize runs in its own link::Classes/Synth:: on the server, communication is done via control-rate link::Classes/Bus:: objects for triggering and link::Classes/Buffer:: objects for passing and retreiving data. code:: //Setup ( ~tempPoint = Buffer.alloc(s,2); ~predictPoint = Buffer.alloc(s,2); ~avgBuf = Buffer.alloc(s,100,2); ~pitchingBus = Bus.control; ~catchingBus = Bus.control; ) ( ~standardizer.inBus_(~pitchingBus).outBus_(~catchingBus).inBuffer_(~tempPoint).outBuffer_(~predictPoint); //Pitching (no pun intended): read frames out of buffer and pass to standardize { var audio = BufRd.ar(1,~audio,LFSaw.ar(BufDur.ir(~audio).reciprocal).range(0, BufFrames.ir(~audio))); var counter = Stepper.ar(Impulse.ar(ControlRate.ir),max:99); var trig = HPZ1.ar(counter) < 0; //average 10 frames: one could use the MovingAverage extension here var avg; BufWr.kr(FluidPitch.kr(audio),~avgBuf,phase:counter); avg = Mix.new(BufRd.kr(2, ~avgBuf, phase:100.collect{|x|x})) * 0.01; //assemble data point BufWr.kr(avg[0],~tempPoint,0); BufWr.kr(avg[1],~tempPoint,1); Poll.kr(T2K.kr(trig),BufRd.kr(1,~tempPoint,[0,1]),["pitch (raw)", "confidence (raw)"]); Out.kr(~pitchingBus.index,[T2K.kr(trig)]); }.play(~standardizer.synth,addAction:\addBefore); //catching { Poll.kr(In.kr(~catchingBus.index),BufRd.kr(1,~predictPoint,[0,1]),["pitch (standardized)", "confidence (standardized)"]) }.play(~standardizer.synth,addAction:\addAfter); ) ::