public static AudioFeature FromBytesCompressed(byte[] byteArray)
{
using (Stream stream = new MemoryStream(byteArray)) {
Matrix mean = Matrix.LoadBinary(stream);
Matrix covarMatrix = Matrix.LoadBinary(stream);
Matrix covarMatrixInv = Matrix.LoadBinary(stream);
stream.Flush();
MandelEllis.GmmMe gmmme = new MandelEllis.GmmMe(mean, covarMatrix, covarMatrixInv);
var mandelEllis = new MandelEllis(gmmme);
return(mandelEllis);
}
}
public AudioFeature Calculate(double[] input)
{
//pack the mfccs into a pointlist
double[][] mfccCoefficients = mfcc.Process(input);
//check if element 0 exists
if(mfccCoefficients.Length == 0)
throw new ArgumentException("The input stream is to short to process;");
//create mfcc matrix
Matrix mfccs = new Matrix(mfccCoefficients);
#if DEBUG
mfccs.WriteText("mfccdata-mandelellis.txt");
mfccs.DrawMatrixGraph("mfccdata-mandelellis.png");
#endif
// compute mean
//Matrix mean = mfccs.Mean(1).Transpose();
Matrix mean = mfccs.Mean(2);
#if DEBUG
mean.WriteText("mean-mandelellis.txt");
mean.DrawMatrixGraph("mean-mandelellis.png");
#endif
// create covariance matrix
Matrix covarMatrix = mfccs.Cov();
#if DEBUG
covarMatrix.WriteText("covariance-mandelellis.txt");
covarMatrix.DrawMatrixGraph("covariance-mandelellis.png");
#endif
// Inverse Covariance
Matrix covarMatrixInv;
try {
//covarMatrixInv = covarMatrix.Inverse();
covarMatrixInv = covarMatrix.InverseGausJordan();
} catch (Exception) {
Console.Error.WriteLine("Mandel Ellis Extraction Failed!");
return null;
}
#if DEBUG
covarMatrixInv.WriteText("inverse_covariance-mandelellis.txt");
covarMatrixInv.DrawMatrixGraph("inverse_covariance-mandelellis.png");
#endif
MandelEllis.GmmMe gmmMe = new MandelEllis.GmmMe(mean, covarMatrix, covarMatrixInv);
MandelEllis mandelEllis = new MandelEllis(gmmMe);
return mandelEllis;
}
public static AudioFeature FromBytesCompressed(byte[] byteArray)
{
using (Stream stream = new MemoryStream(byteArray)) {
Matrix mean = Matrix.LoadBinary(stream);
Matrix covarMatrix = Matrix.LoadBinary(stream);
Matrix covarMatrixInv = Matrix.LoadBinary(stream);
stream.Flush();
MandelEllis.GmmMe gmmme = new MandelEllis.GmmMe(mean, covarMatrix, covarMatrixInv);
var mandelEllis = new MandelEllis(gmmme);
return mandelEllis;
}
}