protected internal virtual GaussianWeights loadMixtureWeights(string path, float floor)
{
this.logger.fine(new StringBuilder().append("Loading mixture weights from: ").append(path).toString());
Properties properties = new Properties();
DataInputStream dataInputStream = this.readS3BinaryHeader(path, properties);
string property = properties.getProperty("version");
if (property == null || !String.instancehelper_equals(property, "1.0"))
{
string text = new StringBuilder().append("Unsupported version in ").append(path).toString();
throw new IOException(text);
}
string property2 = properties.getProperty("chksum0");
int num = (property2 == null || !String.instancehelper_equals(property2, "yes")) ? 0 : 1;
this.resetChecksum();
int num2 = this.readInt(dataInputStream);
int num3 = this.readInt(dataInputStream);
int num4 = this.readInt(dataInputStream);
int num5 = this.readInt(dataInputStream);
GaussianWeights gaussianWeights = new GaussianWeights(path, num2, num4, num3);
this.logger.fine(new StringBuilder().append("Number of states ").append(num2).toString());
this.logger.fine(new StringBuilder().append("Number of streams ").append(num3).toString());
this.logger.fine(new StringBuilder().append("Number of gaussians per state ").append(num4).toString());
if (!Sphinx3Loader.assertionsDisabled && num5 != num2 * num3 * num4)
{
throw new AssertionError();
}
for (int i = 0; i < num2; i++)
{
for (int j = 0; j < num3; j++)
{
float[] array = this.readFloatArray(dataInputStream, num4);
Utilities.normalize(array);
Utilities.floorData(array, floor);
this.logMath.linearToLog(array);
gaussianWeights.put(i, j, array);
}
}
this.validateChecksum(dataInputStream, num != 0);
dataInputStream.close();
return(gaussianWeights);
}
public GaussianWeights htkWeights(string name, float num)
{
int numStates = this.getNumStates();
int numStreams = 1;
int gmmsize = this.getGMMSize();
GaussianWeights gaussianWeights = new GaussianWeights(name, numStates, gmmsize, numStreams);
for (int i = 0; i < numStates; i++)
{
GMMDiag gmmdiag = (GMMDiag)this.hmmsHTK.__gmms.get(i);
float[] array = new float[gmmsize];
for (int j = 0; j < gmmsize; j++)
{
array[j] = gmmdiag.getWeight(j);
}
Utilities.floorData(array, HTKLoader.access_100(this.this_0));
HTKLoader.access_200(this.this_0).linearToLog(array);
gaussianWeights.put(i, 0, array);
}
return(gaussianWeights);
}