//Updating background noise vector with c_no = pc_+(1-p)c_i formula;
//computing similarity between c_no(background noise vector) and current mfcc vector;
private double[] ComputeSimilarity(double[] mfccList, double[] avrgNoise)
{
List <double> normalized = new List <double>();
List <double> similarity = new List <double>();
foreach (double[] Ci in mfccList.ToArray().Split(32))
{
var newAmounts = Ci.Select(a => a * (1.0 - p)).ToList();
var Cno = avrgNoise.Zip(newAmounts, (a, y) => a + y);
var coeffCorr = 1.0 - MathExtensions.ComputeCoeff(Ci.ToArray(), Cno.ToArray());
similarity.Add(coeffCorr);
}
double length = similarity.Sum(a => a * a);
length = Math.Sqrt(length);
foreach (double ddd in similarity)
{
normalized.Add(ddd / length);
}
return(normalized.ToArray());
}