/// <summary>
/// Initializes a new instance of the <see cref="GaussianMixture"/> class.
/// </summary>
/// <param name="mixtureWeights">The mixture weights for this senone in LogMath log base.</param>
/// <param name="mixtureComponents">The mixture components for this senone.</param>
/// <param name="id">The identifier.</param>
public GaussianMixture(GaussianWeights mixtureWeights, MixtureComponent[] mixtureComponents, int id)
{
LogMath = LogMath.GetLogMath();
_mixtureComponents = mixtureComponents;
MixtureWeights = mixtureWeights;
_Id = id;
}
/**
* /// Loads the mixture weights (Binary).
* ///
* /// @param path
* /// the path to the mixture weight file
* /// @param floor
* /// the minimum mixture weight allowed
* /// @return a pool of mixture weights
* /// @throws FileNotFoundException
* /// if a file cannot be found
* /// @throws IOException
* /// if an error occurs while loading the data
*/
protected GaussianWeights LoadMixtureWeights(String path, float floor)
{
this.LogInfo("Loading mixture weights from: " + path);
var props = new Dictionary <String, Object>(); //TODO: Use JProperties here
var dis = ReadS3BinaryHeader(path, props);
var version = props["version"].ToString();
if (version == null || !version.Equals(MixwFileVersion))
{
throw new IOException("Unsupported version in " + path);
}
var checksum = props["chksum0"].ToString();
var doCheckSum = (checksum != null && checksum.Equals("yes"));
ResetChecksum();
var numStates = readInt(dis);
var numStreams = readInt(dis);
var numGaussiansPerState = readInt(dis);
var numValues = readInt(dis);
var mixtureWeights = new GaussianWeights(path, numStates, numGaussiansPerState, numStreams);
this.LogInfo("Number of states " + numStates);
this.LogInfo("Number of streams " + numStreams);
this.LogInfo("Number of gaussians per state " + numGaussiansPerState);
Debug.Assert(numValues == numStates * numStreams * numGaussiansPerState);
for (var i = 0; i < numStates; i++)
{
for (var j = 0; j < numStreams; j++)
{
var logStreamMixtureWeight = ReadFloatArray(dis,
numGaussiansPerState);
Utilities.Normalize(logStreamMixtureWeight);
Utilities.floorData(logStreamMixtureWeight, floor);
LogMath.LinearToLog(logStreamMixtureWeight);
mixtureWeights.Put(i, j, logStreamMixtureWeight);
}
}
ValidateChecksum(dis, doCheckSum);
dis.Close();
return(mixtureWeights);
}
/// <summary>
/// Loads the AcousticModel from a directory in the file system.
/// </summary>
/// <param name="modelDef">the name of the acoustic modelDef; if null we just load from the default location</param>
protected void LoadModelFiles(String modelDef)
{
this.LogInfo("Loading Sphinx3 acoustic model: " + modelDef);
this.LogInfo(" modelName: " + Model);
this.LogInfo(" dataLocation : " + DataLocation);
//TODO: datalocation is being ignored here
MeansPool = LoadDensityFile(Path.Combine(Location.Path, "means"), -Float.MAX_VALUE);
VariancePool = LoadDensityFile(Path.Combine(Location.Path, "variances"), VarianceFloor);
MixtureWeightsPool = LoadMixtureWeights(Path.Combine(Location.Path, "mixture_weights"), MixtureWeightFloor);
MatrixPool = LoadTransitionMatrices(Path.Combine(Location.Path, "transition_matrices"));
TransformMatrix = LoadTransformMatrix(Path.Combine(Location.Path, "feature_transform"));
Properties = LoadModelProps(Path.Combine(Location.Path, "feat.params"));
if (HasTiedMixtures())
{
GetSenoneToCIPhone();
SenonePool = CreateTiedSenonePool(DistFloor, VarianceFloor);
}
else
{
//create regular senone poll
SenonePool = CreateSenonePool(DistFloor, VarianceFloor);
}
// load the HMM modelDef file
var modelStream = GetDataStream(Path.Combine(Location.Path, Model));
if (modelStream == null)
{
throw new IOException("can't find modelDef " + Model);
}
LoadHMMPool(UseCDUnits, modelStream, Path.Combine(Location.Path, Model));
// modelProps = loadModelProps(CurrentDir + "\\feat.params");
}
