private Pool <ISenone> CreateTiedSenonePool(float distFloor, float varianceFloor)
{
var pool = new Pool <ISenone>("senones");
var numMeans = MeansPool.Size;
var numVariances = VariancePool.Size;
var numGaussiansPerState = MixtureWeightsPool.GauPerState;
var numSenones = MixtureWeightsPool.StatesNum;
var numStreams = MixtureWeightsPool.StreamsNum;
this.LogInfo("Senones " + numSenones);
this.LogInfo("Gaussians Per State " + numGaussiansPerState);
this.LogInfo("Means " + numMeans);
this.LogInfo("Variances " + numVariances);
Debug.Assert(numGaussiansPerState > 0);
Debug.Assert(numVariances == _numBase * numGaussiansPerState * numStreams);
Debug.Assert(numMeans == _numBase * numGaussiansPerState * numStreams);
var meansTransformationMatrix = MeansTransformationMatrixPool == null ? null
: MeansTransformationMatrixPool.Get(0);
var meansTransformationVector = MeansTransformationVectorPool == null ? null
: MeansTransformationVectorPool.Get(0);
var varianceTransformationMatrix = VarianceTransformationMatrixPool == null ? null
: VarianceTransformationMatrixPool.Get(0);
var varianceTransformationVector = VarianceTransformationVectorPool == null ? null
: VarianceTransformationVectorPool.Get(0);
_phoneticTiedMixtures = new MixtureComponentSet[_numBase];
for (var i = 0; i < _numBase; i++)
{
var mixtureComponents = new List <PrunableMixtureComponent[]>();
for (var j = 0; j < numStreams; j++)
{
var featMixtureComponents = new PrunableMixtureComponent[numGaussiansPerState];
for (var k = 0; k < numGaussiansPerState; k++)
{
var whichGaussian = i * numGaussiansPerState * numStreams + j * numGaussiansPerState + k;
featMixtureComponents[k] = new PrunableMixtureComponent(
MeansPool.Get(whichGaussian),
meansTransformationMatrix, meansTransformationVector,
VariancePool.Get(whichGaussian),
varianceTransformationMatrix,
varianceTransformationVector, distFloor, varianceFloor, k);
}
mixtureComponents.Add(featMixtureComponents);
}
_phoneticTiedMixtures[i] = new MixtureComponentSet(mixtureComponents, _topGauNum);
}
for (var i = 0; i < numSenones; i++)
{
ISenone senone = new SetBasedGaussianMixture(MixtureWeightsPool, _phoneticTiedMixtures[Senone2Ci[i]], i);
pool.Put(i, senone);
}
return(pool);
}
public virtual void clearGauScores()
{
if (this.phoneticTiedMixtures == null)
{
return;
}
MixtureComponentSet[] array = this.phoneticTiedMixtures;
int num = array.Length;
for (int i = 0; i < num; i++)
{
MixtureComponentSet mixtureComponentSet = array[i];
mixtureComponentSet.clearStoredScores();
}
}
public virtual void setGauScoresQueueLength(int scoresQueueLen)
{
if (this.phoneticTiedMixtures == null)
{
return;
}
MixtureComponentSet[] array = this.phoneticTiedMixtures;
int num = array.Length;
for (int i = 0; i < num; i++)
{
MixtureComponentSet mixtureComponentSet = array[i];
mixtureComponentSet.setScoreQueueLength(scoresQueueLen);
}
}
