Uses of Class
marytts.features.FeatureVector

Packages that use FeatureVector

Package	Description
marytts.cart
marytts.cart.impose
marytts.cart.io
marytts.features
marytts.htsengine
marytts.tools.dbselection
marytts.tools.voiceimport
marytts.tools.voiceimport.traintrees
marytts.unitselection.data
marytts.unitselection.select
marytts.util	Various relatively generic utilities.

Uses of FeatureVector in marytts.cart

Methods in marytts.cart that return FeatureVector

Modifier and Type	Method and Description
FeatureVector[]	LeafNode.FeatureVectorLeafNode.getFeatureVectors() Get the feature vectors of this node

Methods in marytts.cart with parameters of type FeatureVector

Modifier and Type	Method and Description
void	LeafNode.FeatureVectorLeafNode.addFeatureVector(FeatureVector fv)
String	StringPredictionTree.getMostProbableString(FeatureVector aFV)
Node	DirectedGraphNode.getNextNode(FeatureVector fv)
abstract Node	DecisionNode.getNextNode(FeatureVector featureVector) Select a daughter node according to the value in the given target
Node	DecisionNode.BinaryByteDecisionNode.getNextNode(FeatureVector featureVector) Select a daughter node according to the value in the given target
Node	DecisionNode.BinaryShortDecisionNode.getNextNode(FeatureVector featureVector) Select a daughter node according to the value in the given target
Node	DecisionNode.BinaryFloatDecisionNode.getNextNode(FeatureVector featureVector) Select a daughter node according to the value in the given target
Node	DecisionNode.ByteDecisionNode.getNextNode(FeatureVector featureVector) Select a daughter node according to the value in the given target
Node	DecisionNode.ShortDecisionNode.getNextNode(FeatureVector featureVector) Select a daughter node according to the value in the given target
Object	DirectedGraph.interpret(FeatureVector fv) Walk down the graph as far as possible according to the features in fv, and return the data in the leaf node found there.
protected Object	DirectedGraph.interpret(Node n, FeatureVector fv) Follow the directed graph down to the most specific leaf with data, starting from node n.
Node	StringPredictionTree.interpretToNode(FeatureVector featureVector, int minNumberOfData) TODO: copied from CART, does not work as expected with minNumberOfData = 0 Passes the given item through this CART and returns the leaf Node, or the Node it stopped walking down.
Node	CART.interpretToNode(FeatureVector featureVector, int minNumberOfData) Passes the given item through this CART and returns the leaf Node, or the Node it stopped walking down.
void	LeafNode.FeatureVectorLeafNode.setFeatureVectors(FeatureVector[] fv)

Constructors in marytts.cart with parameters of type FeatureVector

Constructor and Description
LeafNode.FeatureVectorLeafNode(FeatureVector[] featureVectors) Build a new leaf node containing the given feature vectors

Uses of FeatureVector in marytts.cart.impose

Fields in marytts.cart.impose declared as FeatureVector

Modifier and Type	Field and Description
FeatureVector[]	FeatureFileIndexingResult.v

Methods in marytts.cart.impose that return FeatureVector

Modifier and Type	Method and Description
FeatureVector[]	FeatureArrayIndexer.getFeatureVectors(int from, int to) Get the feature vectors from the big array according to the given indices

Methods in marytts.cart.impose with parameters of type FeatureVector

Modifier and Type	Method and Description
int	FeatureComparator.compare(FeatureVector a, FeatureVector b) Compares two feature vectors according to their values at an internal index previously set by this.setFeatureIdx().
FeatureFileIndexingResult	FeatureArrayIndexer.retrieve(FeatureVector v) Retrieve an array of unit features which complies with a specific target specification, according to an underlying tree.
FeatureFileIndexingResult	FeatureArrayIndexer.retrieve(FeatureVector v, int condition, int parameter) Retrieve an array of unit features which complies with a specific target specification, according to an underlying tree, and given a stopping condition.

Constructors in marytts.cart.impose with parameters of type FeatureVector

Constructor and Description
FeatureArrayIndexer(FeatureVector[] featureVectors, FeatureDefinition featureDefinition) Constructor which loads the feature vector array but does not launch an indexing operation.
FeatureArrayIndexer(FeatureVector[] featureVectors, FeatureDefinition featureDefinition, int[] setFeatureSequence) Constructor which takes an array of feature vectors and launches an indexing operation according to a feature sequence constraint.
FeatureArrayIndexer(FeatureVector[] featureVectors, FeatureDefinition featureDefinition, String[] setFeatureSequence) Constructor which takes an array of feature vectors and launches an indexing operation according to a feature sequence constraint.
FeatureFileIndexingResult(FeatureVector[] setV, int setLevel)

Uses of FeatureVector in marytts.cart.io

Methods in marytts.cart.io with parameters of type FeatureVector

Modifier and Type	Method and Description
void	WagonCARTReader.fillLeafs(Node root, FeatureVector[] featureVectors) Fill the FeatureVector leafs of a tree with the given feature vectors.

Uses of FeatureVector in marytts.features

Methods in marytts.features that return FeatureVector

Modifier and Type	Method and Description
FeatureVector	TargetFeatureComputer.computeFeatureVector(Target target) Using the set of feature processors defined when creating the target feature computer, compute a feature vector for the target
FeatureVector	FeatureDefinition.createEdgeFeatureVector(int unitIndex, boolean start) Create a feature vector that marks a start or end of a unit.
FeatureVector	FeatureDefinition.readFeatureVector(int currentUnitIndex, ByteBuffer bb) Create a feature vector consistent with this feature definition by reading the data from the byte buffer.
FeatureVector	FeatureDefinition.readFeatureVector(int currentUnitIndex, DataInput input) Create a feature vector consistent with this feature definition by reading the data from the given input.
FeatureVector	FeatureDefinition.toFeatureVector(int unitIndex, byte[] bytes, short[] shorts, float[] floats)
FeatureVector	FeatureDefinition.toFeatureVector(int unitIndex, String featureString) Create a feature vector consistent with this feature definition by reading the data from a String representation.

Methods in marytts.features with parameters of type FeatureVector

Modifier and Type	Method and Description
static int	FeatureDefinition.diff(FeatureVector v1, FeatureVector v2) Compares two feature vectors in terms of how many discrete features they have in common.
String	FeatureDefinition.getFeatureValueAsString(String featureName, FeatureVector fv) Simple access to string-based features.
String	FeatureDefinition.toFeatureString(FeatureVector fv) Convert a feature vector into a String representation.
String	TargetFeatureComputer.toStringValues(FeatureVector features) For the given feature vector, convert each encoded value into its string representation.

Uses of FeatureVector in marytts.htsengine

Methods in marytts.htsengine with parameters of type FeatureVector

Modifier and Type	Method and Description
String	PhoneTranslator.features2context(FeatureDefinition def, FeatureVector featureVector, Vector<String> featureList) Convert the feature vector into a context model name to be used by HTS/HTK.
String	PhoneTranslator.features2LongContext(FeatureDefinition def, FeatureVector featureVector, Vector<String> featureList) Convert the feature vector into a context model name to be used by HTS/HTK.
HTSModel	CartTreeSet.generateHTSModel(HMMData htsData, FeatureDefinition feaDef, FeatureVector fv, double oldErr) creates a HTSModel (pre-HMM optimization vector data for all parameter streams of a given phoneme) given a feature vector compare with original code in the main loop of marytts.modules.HTSEngine#processTargetList()
double	CartTreeSet.searchDurInCartTree(HTSModel m, FeatureVector fv, HMMData htsData, boolean firstPh, boolean lastPh, double diffdur)
double	CartTreeSet.searchDurInCartTree(HTSModel m, FeatureVector fv, HMMData htsData, double diffdur) Searches fv in durTree CART[] set of trees, per state, and fill the information in the HTSModel m.
void	CartTreeSet.searchLf0InCartTree(HTSModel m, FeatureVector fv, FeatureDefinition featureDef, double uvthresh) Searches fv in Lf0Tree CART[] set of trees, per state, and fill the information in the HTSModel m.
void	CartTreeSet.searchMagInCartTree(HTSModel m, FeatureVector fv, FeatureDefinition featureDef) Searches fv in MagTree CART[] set of trees, per state, and fill the information in the HTSModel m.
void	CartTreeSet.searchMgcInCartTree(HTSModel m, FeatureVector fv, FeatureDefinition featureDef) Searches fv in mgcTree CART[] set of trees, per state, and fill the information in the HTSModel m.
void	CartTreeSet.searchStrInCartTree(HTSModel m, FeatureVector fv, FeatureDefinition featureDef) Searches fv in StrTree CART[] set of trees, per state, and fill the information in the HTSModel m.

Uses of FeatureVector in marytts.tools.dbselection

Methods in marytts.tools.dbselection with parameters of type FeatureVector

Modifier and Type	Method and Description
static byte[]	CoverageUtils.toCoverageFeatures(String featureNames, FeatureDefinition def, FeatureVector[] featureVectors) Convert the given feature vectors to the coverage features format, containing all byte features in a single byte array.

Uses of FeatureVector in marytts.tools.voiceimport

Fields in marytts.tools.voiceimport declared as FeatureVector

Modifier and Type	Field and Description
protected FeatureVector[]	CARTBuilder.WagonCallerThread.featureVectors

Methods in marytts.tools.voiceimport with parameters of type FeatureVector

Modifier and Type	Method and Description
void	CARTBuilder.buildAndDumpDistanceTables(FeatureVector[] featureVectors, String filename, FeatureDefinition featDef) Build the distance tables for the units from which we have the feature vectors and dump them to a file with the given filename
void	CARTBuilder.dumpFeatureVectors(FeatureVector[] featureVectors, FeatureDefinition featDef, String filename) Dump the given feature vectors to a file with the given filename

Constructors in marytts.tools.voiceimport with parameters of type FeatureVector

Constructor and Description
CARTBuilder.WagonCallerThread(String id, LeafNode leafToReplace, FeatureDefinition featureDefinition, FeatureVector[] featureVectors, String descFilename, String valueFilename, String distanceTableFilename, String cartFilename, int balance, int stop, String ESTDIR)

Uses of FeatureVector in marytts.tools.voiceimport.traintrees

Methods in marytts.tools.voiceimport.traintrees with parameters of type FeatureVector

Modifier and Type	Method and Description
float[]	F0ContourPolynomialDistanceMeasure.computeMean(FeatureVector[] fvs) Compute the mean polynomial from the given set of polynomials.
double	F0ContourPolynomialDistanceMeasure.computeVariance(FeatureVector[] fvs) Compute the variance of the given set of feature vectors.
float	F0ContourPolynomialDistanceMeasure.distance(FeatureVector fv1, FeatureVector fv2) Compute the distance between the f0 contours corresponding to the given feature vectors.
float	DurationDistanceMeasure.distance(FeatureVector fv1, FeatureVector fv2) Compute the distance between the f0 contours corresponding to the given feature vectors.
float	DistanceMeasure.distance(FeatureVector fv1, FeatureVector fv2) Compute the distance between two feature vectors.
float	F0ContourPolynomialDistanceMeasure.squaredDistance(FeatureVector fv1, FeatureVector fv2) Compute the distance between the f0 contours corresponding to the given feature vectors.
float	DurationDistanceMeasure.squaredDistance(FeatureVector fv1, FeatureVector fv2) Compute the distance between the f0 contours corresponding to the given feature vectors.
float	DistanceMeasure.squaredDistance(FeatureVector fv1, FeatureVector fv2) Compute the squared distance between two feature vectors.
float	F0ContourPolynomialDistanceMeasure.squaredDistance(FeatureVector fv, float[] polynomial)

Constructors in marytts.tools.voiceimport.traintrees with parameters of type FeatureVector

Constructor and Description
AgglomerativeClusterer(FeatureVector[] features, FeatureDefinition featureDefinition, List<String> featuresToUse, DistanceMeasure dist)
AgglomerativeClusterer(FeatureVector[] features, FeatureDefinition featureDefinition, List<String> featuresToUse, DistanceMeasure dist, float proportionTestData)
Wagon(String id, FeatureDefinition featureDefinition, FeatureVector[] featureVectors, DistanceMeasure aDistanceMeasure, File dir, int balance, int stop) Set up a new wagon process.

Uses of FeatureVector in marytts.unitselection.data

Fields in marytts.unitselection.data declared as FeatureVector

Modifier and Type	Field and Description
protected FeatureVector[]	FeatureFileReader.featureVectors

Methods in marytts.unitselection.data that return FeatureVector

Modifier and Type	Method and Description
FeatureVector[]	FeatureFileReader.featureVectorMapping(FeatureDefinition newFeatureDefinition) feature vector mapping according to new feature definition Note: The new feature definition should be a subset of original feature definition
FeatureVector[]	FeatureFileReader.getCopyOfFeatureVectors() Return a shallow copy of the array of feature vectors.
FeatureVector	FeatureFileReader.getFeatureVector(int unitIndex) Get the unit feature vector for the given unit index number.
FeatureVector	FeatureFileReader.getFeatureVector(Unit unit) Get the unit feature vector for the given unit.
FeatureVector[]	FeatureFileReader.getFeatureVectors() Return the internal array of feature vectors.

Uses of FeatureVector in marytts.unitselection.select

Fields in marytts.unitselection.select declared as FeatureVector

Modifier and Type	Field and Description
protected FeatureVector	Target.featureVector
protected FeatureVector[]	FFRTargetCostFunction.featureVectors

Methods in marytts.unitselection.select that return FeatureVector

Modifier and Type	Method and Description
FeatureVector	Target.getFeatureVector()
FeatureVector	DiphoneTarget.getFeatureVector()
FeatureVector	TargetCostFunction.getFeatureVector(Unit unit) Get the target cost feature vector for the given unit.
FeatureVector	FFRTargetCostFunction.getFeatureVector(Unit unit) Look up the features for a given unit.
FeatureVector	DiphoneFFRTargetCostFunction.getFeatureVector(Unit unit)
FeatureVector[]	TargetCostFunction.getFeatureVectors() Get all feature vectors.
FeatureVector[]	FFRTargetCostFunction.getFeatureVectors()
FeatureVector[]	DiphoneFFRTargetCostFunction.getFeatureVectors()
FeatureVector	HalfPhoneFFRTargetCostFunction.getUnitFeatures(Unit unit) Look up the features for a given unit.

Methods in marytts.unitselection.select with parameters of type FeatureVector

Modifier and Type	Method and Description
void	Target.setFeatureVector(FeatureVector featureVector)
void	DiphoneTarget.setFeatureVector(FeatureVector featureVector)

Uses of FeatureVector in marytts.util

Methods in marytts.util that return FeatureVector

Modifier and Type	Method and Description
static FeatureVector[]	FeatureUtils.readFeatureVectors(String targetFeaturesData)