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diff --git a/ofxMaxim/ofxMaximExamplesOSX/ofxMaxim_example_mfccs/bin/data/scmfccs.rtf b/ofxMaxim/ofxMaximExamplesOSX/ofxMaxim_example_mfccs/bin/data/scmfccs.rtf
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@@ -0,0 +1,114 @@
+{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf350
+{\fonttbl\f0\fswiss\fcharset0 Helvetica;\f1\fnil\fcharset0 Monaco;\f2\froman\fcharset0 Times-Roman;
+}
+{\colortbl;\red255\green255\blue255;\red0\green0\blue191;\red0\green0\blue0;\red191\green0\blue0;
+\red0\green0\blue191;\red96\green96\blue96;\red96\green96\blue96;\red0\green115\blue0;}
+\deftab560
+\pard\pardeftab560\ql\qnatural
+
+\f0\b\fs36 \cf2 MFCC\cf3 mel frequency cepstral coefficients
+\b0 \
+\pard\pardeftab560\ql\qnatural
+
+\fs24 \cf3 \
+
+\b #coeff1, coeff2, ... = \cf2 MFCC\cf3 .kr(chain, numcoeff=13)
+\b0 \
+\
+
+\b chain [fft] -
+\b0 \cf2 Audio\cf3 input to track, which has been pre-analysed by the \cf2 FFT\cf3 \cf2 UGen\cf3 ; see examples below for the expected \cf2 FFT\cf3 size\
+
+\b numcoeff [s] -
+\b0 \cf2 Number\cf3 of coefficients, defaults to 13, maximum of 42; more efficient to use less of course! \
+\
+\cf2 Generates\cf3 a set of \cf2 MFCCs\cf3 ; these are obtained from a band-based frequency representation (using the \cf2 Mel\cf3 scale by default), and then a discrete cosine transform (\cf2 DCT\cf3 ). \cf2 The\cf3 \cf2 DCT\cf3 is an efficient approximation for principal components analysis, so that it allows a compression, or reduction of dimensionality, of the data, in \cf2 this\cf3 case reducing 42 band readings to a smaller set of \cf2 MFCCs\cf3 . \cf2 A\cf3 small number of features (the coefficients) end up describing the spectrum. \cf2 The\cf3 \cf2 MFCCs\cf3 are commonly used as timbral descriptors. \
+\
+\cf2 Output\cf3 values are somewhat normalised for the range 0.0 to 1.0, but there are no guarantees on exact conformance to \cf2 this\cf3 . \cf2 Commonly\cf3 , the first coefficient will be the highest value. \
+\
+\pard\pardeftab560\ql\qnatural
+
+\f1\fs18 \cf4 //Technical note: The 0th coefficient is not generated as it consists of multiplying all bands by 1 and summing\cf3 \
+\
+\
+\cf4 //assumes hop of half fftsize, fine\cf3 \
+b = \cf2 Buffer\cf3 .alloc(s,1024,1); \cf4 //for sampling rates 44100 and 48000\cf3 \
+\cf4 //b = Buffer.alloc(s,2048,1); //for sampling rates 88200 and 96000\cf3 \
+\cf0 d=\cf5 Buffer\cf0 .read(s,\cf5 Document\cf0 .current.dir ++ \cf6 "/pinknoise2.wav"\cf0 );\
+d=\cf5 Buffer\cf0 .read(s,\cf5 Document\cf0 .current.dir ++ \cf6 "/whitenoise2.wav"\cf0 );\
+\cf3 d=\cf2 Buffer\cf3 .read(s,\cf2 Document\cf3 .current.dir ++ \cf7 "/sinetest_stepping2.wav"\cf3 );\
+d.play\
+d\
+(\
+x= \{\
+\cf2 var\cf3 in, fft, array;\
+\
+in= \cf2 PlayBuf\cf3 .ar(1,d,\cf2 BufRateScale\cf3 .kr(d),1,0,1);\
+\
+\cf4 //in = SoundIn.ar(0); \cf3 \
+\
+fft = \cf2 FFT\cf3 (b, in, 512, 1);\
+\
+array=\cf2 MFCC\cf3 .kr(fft); \
+\
+array.size.postln; \
+\
+\cf2 Out\cf3 .kr(0,array); \
+\
+\cf2 Out\cf3 .ar(0,\cf2 Pan2\cf3 .ar(in)); \
+\}.play\
+)\
+\
+\
+c= \cf2 Bus\cf3 .new(\cf8 'control'\cf3 , 0, 13); \
+\
+\cf4 //poll coefficients\cf3 \
+c.getn(13,\{\cf2 arg\cf3 val; \{val.plot;\}.defer\}); \
+\
+\
+\
+\cf4 //Continuous graphical display of MFCC values; free routine before closing window\cf3 \
+\
+(\
+\cf2 var\cf3 ms; \
+\
+w=\cf2 Window\cf3 .new(\cf7 "Thirteen MFCC coefficients"\cf3 , \cf2 Rect\cf3 (200,400,700,300));\
+\
+ms= \cf2 MultiSliderView\cf3 .new(w, \cf2 Rect\cf3 (10,10,660,280));\
+\
+ms.value_(\cf2 Array\cf3 .fill(13,0.0));\
+ms.valueThumbSize_(40.0);\
+ms.indexThumbSize_(40.0);\
+ms.gap_(0);\
+\
+w.front;\
+\
+r= \{\
+\
+\cf2 inf\cf3 .do\{\
+\
+c.getn(13,\{\cf2 arg\cf3 val; val.postln; \{ms.value_(val*0.9)\}.defer\}); \
+\
+0.02.wait; \cf4 //25 frames per second\cf3 \
+\};\
+\
+\}.fork;\
+\
+)\
+\
+\
+\cf4 //tidy up\cf3 \
+(\
+r.stop;\
+b.free;\
+c.free;\
+x.free;\
+w.close;\
+)\
+\pard\pardeftab560\ql\qnatural
+
+\f2\fs32 \cf3 \
+\
+\
+\
+} \ No newline at end of file