annotate yeti/silvet.yeti @ 266:c9d2809cb86d norm

Adjust some polyphony levels. Doesn't seem to make much difference in tests, but seems reasonable in principle

program silvet;

{ prepareTimeFrequency } = load timefreq;
{ loadTemplates, extractRanges } = load templates;

em = load em;

mat = load may.matrix;
vec = load may.vector;
plot = load may.plot;

templates = loadTemplates ();

ranges = extractRanges templates;

eprintln "\nWe have \(length (keys templates)) instruments:";
for (sort (keys templates)) do k:
    eprintln " * \(k) \(mat.size templates[k]) range \(ranges[k].lowest) -> \(ranges[k].highest)";
done;
eprintln "";

columns = prepareTimeFrequency "test.wav";

height = if empty? columns then 0 else vec.length (head columns) fi;

chunkSize = { rows = height, columns = 100 };

emdata = em.initialise ranges templates 88 chunkSize;

eprintln "initialised EM data: overall pitch range \(emdata.lowest) -> \(emdata.highest)";

chunkify cols = 
    if empty? cols then []
    else
       (mat.resizedTo chunkSize
           (mat.fromColumns (take chunkSize.columns cols)))
        :. \(chunkify (drop chunkSize.columns cols));
    fi;

chunks = chunkify columns;

eprintln "we have \(length chunks) chunks of size \(mat.size (head chunks))";

oneIteration emdata chunk n =
   (eprintln "E";
    { estimate, q } = em.performExpectation emdata chunk;
    eprintln "M";
    newdata = em.performMaximisation emdata chunk q;
    if (n % 6 == 0) then
        \() (plot.plot [ Grid chunk ]);
        \() (plot.plot [ Grid estimate ]);
    fi;
    newdata);

iterations = 6;

var d = emdata;
for [1..iterations] do i:
    eprintln "iteration \(i)...";
    d := oneIteration d (head chunks) i;
done;    

eprintln "done, plotting pitch activation matrix";

\() (plot.plot [Grid d.pitches]);
\() (plot.plot [Contour d.pitches]);


();