protected override void Classify()
{
for (int i = 0; i < FinalFeatures.Count(); i++)
{
if (Double.IsNaN(FinalFeatures[i]))
{
FinalFeatures[i] = 0;
}
}
if (MakeHTK(FinalFeatures, "1.htk", 0.001f))
{
string f = "-n 5 5 -C hvite.conf -H macros -H models.mmf -S testFiles.txt -l * -i result.mlf -w wordnet transcript classList";
OpenHVITE(f);
string pobjednik = winner("result.mlf");
EmoClassifierResult res = new EmoClassifierResult();
res.Anger = -prob[2];
res.Sadness = -prob[1];
res.Neutral = -prob[0];
res.Joy = -prob[4];
res.Fear = -prob[3];
ClassifierEventArgs e = new ClassifierEventArgs();
e.Result = res;
ClassificationComplete.Invoke(this, e);
}
}
private void ComputeSuperFeatures()
{
foreach (IFeature f in SubFeatures)
{
FastQueue <double> CurrentQueue = SubResults[f];
List <double> CurrentData = CurrentQueue.Peek(SuperWindowLength);
CurrentQueue.Delete(SuperWindowShift);
DataProvider.Data = CurrentData;
List <IFeature> CurrentSuperFeatures = SuperFeatures[f];
foreach (IFeature superf in CurrentSuperFeatures)
{
superf.Compute();
FinalFeatures.Add(superf.Feature);
}
}
if (SuperFeaturesComputed != null)
{
SubFeaturesComputedEventArgs e = new SubFeaturesComputedEventArgs();
e.ComputedFeatures = FinalFeatures;
SuperFeaturesComputed.Invoke(this, e);
}
Classify();
AllFeatures.Add(new List <double>(FinalFeatures));
FinalFeatures.Clear();
if (SubResults.First().Value.Count > SuperWindowLength)
{
ComputeSuperFeatures();
}
}
protected override void Classify()
{
for (int i = 0; i < FinalFeatures.Count(); i++)
{
if (Double.IsNaN(FinalFeatures[i]))
{
FinalFeatures[i] = 0;
}
}
Matrix x = new Matrix(11, 1);
int j = 0;
foreach (int i in indices)
{
x[i, 0] = FinalFeatures[j++];
}
List <double> prob = new List <double>();
for (int i = 0; i < 5; i++)
{
double aa = GaussDistrib.Probability(x, mus[i], sigmas[i]);
prob.Add(weight[i] * aa);
}
EmoClassifierResult res = new EmoClassifierResult();
res.Anger = prob[0];
res.Sadness = prob[1];
res.Neutral = prob[2];
res.Joy = prob[3];
res.Fear = prob[4];
ClassifierEventArgs e = new ClassifierEventArgs();
e.Result = res;
ClassificationComplete.Invoke(this, e);
}
