public Individual(Tree.RootNode tree, bool useMask)
{
Tree = tree;
Topology = DevelopManager.DevelopTopology(tree);
Data = Enumerable.Range(0, DevelopManager.TableLength).Select(x => (float)Topology.RequireValue(x)).ToArray();
Normalize();
Analyzer = new AudioLib.Analyzer(Data, (int)FileUtil.SampleRate);
Analyzer.CalcSpectrogram(useMask);
}
double CompareSpectrogram(AudioLib.Analyzer another)
{
double s = 0;
for (int i = 0; i < Analyzer.Spectrogram.GetLength(0); i++)
{
for (int j = 0; j < Analyzer.Spectrogram.GetLength(1); j++)
{
s += Math.Pow(Analyzer.Spectrogram[i, j] - another.Spectrogram[i, j], 2);
}
}
s /= Analyzer.Spectrogram.GetLength(0); //frame length
return(s);
}
public ParameterOptimizer(Tree.RootNode original, AudioLib.Analyzer target)
{
rand = RandomProvider.GetThreadRandom();
Original = original;
items = GetActiveConstants(original).ToArray();
Dimension = items.Length;
Target = target;
pool = new double[PoolSize][];
pool[0] = items.Select(x => x.Value).ToArray();
for (int i = 1; i < PoolSize; i++)
{
pool[i] = CreateVector();
}
history = new Dictionary <double[], Individual>();
probTable = new double[PoolSize];
scores = new double[PoolSize];
}
public async void OpenFile(string fn)
{
this.Cursor = Cursors.Wait;
Analyzer = new AudioLib.Analyzer(fn);
Settings.Instance.SamplingFreq = Analyzer.SampleRate;
//analyzer.Dft();
//analyzer.CalcSpectrogram();
await Task.Run(() => Analyzer.CalcPower());
await Task.Run(() => Analyzer.CalcPitch());
this.Cursor = null;
//SetSpector(analyzer.Freq.Select((x, i) => new OxyPlot.DataPoint(analyzer.FreqPerIndex * i, x)));
plot.Model = SetSpectrogram(Analyzer.Pitch.Select((x, i) => new OxyPlot.DataPoint(i / (double)Settings.Instance.SamplingFreq, x)));
plot2.Model = SetPowergram(Analyzer.PowerTime.Select((x, i) => new OxyPlot.DataPoint(i / (double)Settings.Instance.SamplingFreq, x)));
plot2.InvalidatePlot();
plot.InvalidatePlot();
DevelopManager.SetSource(Analyzer.Pitch.Select(x => x / (FileUtil.SampleRate / 2)).ToArray(), Analyzer.PowerTime);
}
double CompareThresholdMasking(AudioLib.Analyzer target)
{
double s = 0;
for (int i = 0; i < Analyzer.Spectrogram.GetLength(0); i++)
{
for (int j = 0; j < Analyzer.Spectrogram.GetLength(1); j++)
{
var m = target.ThresholdMask[i][j];
var o = Analyzer.Spectrogram[i, j];
var t = target.Spectrogram[i, j];
if (t >= m)
{
s += (o - t) * (o - t);
}
if (o >= t)
{
s += (o - m) * (o - m);
}
}
}
s /= Analyzer.Spectrogram.GetLength(0);
return(s);
}
public double CompareTo(AudioLib.Analyzer another)
{
return(CompareThresholdMasking(another));
//return CompareSpectrogram(another);
}
