A B C D E F G H I J L M N O P Q R S T U W

A

addClassificationParam(Object) - Method in class marf.Storage.ModuleParams

Adds (appends) a single classification parameter object

addClassificationParams(Vector) - Method in class marf.Storage.ModuleParams

Adds (appends) classification parameters vector

addFeatureExtractionParam(Object) - Method in class marf.Storage.ModuleParams

Adds (appends) a single feature extraction parameter object

addFeatureExtractionParams(Vector) - Method in class marf.Storage.ModuleParams

Adds (appends) feature extraction parameters vector

addFeatureVector(double[], int, String, int, int) - Method in class marf.Storage.TrainingSet

Appends yet another feature vector

addFFT(double[]) - Method in class marf.gui.Spectrogram

addInput(Neuron, double) - Method in class marf.Classification.NeuralNetwork.Neuron

addLPC(double[], int, int) - Method in class marf.gui.Spectrogram

addOutput(Neuron) - Method in class marf.Classification.NeuralNetwork.Neuron

addParam(Object, int) - Method in class marf.Storage.ModuleParams

Generic addParam() method.

addParams(Vector, int) - Method in class marf.Storage.ModuleParams

Generic add*() method.

addPreprocessingParam(Object) - Method in class marf.Storage.ModuleParams

Adds (appends) a single preprocessing parameter object

addPreprocessingParams(Vector) - Method in class marf.Storage.ModuleParams

Adds (appends) preprocessing parameters vector

adFeatures - Variable in class marf.FeatureExtraction.FeatureExtraction

An array of features extracted (coefficiencies and/or amplitude values)

adFeatures - Variable in class marf.Storage.TrainingSet.TrainingSample

Array of features describing the sample.

adResultSet - Variable in class marf.Storage.Result

Some stats (if can be preset)

adSample - Variable in class marf.Storage.Sample

Sample data array (amplitudes)

ArrayIndex - Variable in class marf.Storage.Sample

Chunk pointer in the sample array

autocorrelation(double[], int) - Method in class marf.FeatureExtraction.LPC.LPC

B

BANDPASS_FILTER - Static variable in class marf.MARF

Indicates to use bandpass filter

BandpassFilter - class marf.Preprocessing.BandpassFilter.BandpassFilter.

Class BandpassFilter

BandpassFilter(Sample) - Constructor for class marf.Preprocessing.BandpassFilter.BandpassFilter

BandpassFilter Constructor

bDumpSpectrogram - Static variable in class marf.MARF

Indicates whether or not to dump a spectrogram at the end of feature extraction

bDumpWaveGraph - Static variable in class marf.MARF

Indicates whether or not to dump a wave graph

BUILD_TRAINING_SET - Static variable in class marf.MARF

Instructs MARF to build training sets for distance classifiers

buildNNet(Node) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

C

Cepstral - class marf.FeatureExtraction.Cepstral.Cepstral.

Class Cepstral

CEPSTRAL - Static variable in class marf.MARF

Indicates to use cepstral analysis

Cepstral(Preprocessing) - Constructor for class marf.FeatureExtraction.Cepstral.Cepstral

Cepstral Constructor

CHEBYSHEV_DISTANCE - Static variable in class marf.MARF

Indicates to use Chebyshev distance for classification

ChebyshevDistance - class marf.Classification.ChebyshevDistance.ChebyshevDistance.

Class ChebyshevDistance

ChebyshevDistance(FeatureExtraction) - Constructor for class marf.Classification.ChebyshevDistance.ChebyshevDistance

ChebyshevDistance Constructor

Classification - class marf.Classification.Classification.

Class Classification

CLASSIFICATION - Static variable in class marf.Storage.ModuleParams

Indicates that we manipulate on the Classification Vector

Classification(FeatureExtraction) - Constructor for class marf.Classification.Classification

Generic Classification Constructor

ClassificationException - exception marf.Classification.ClassificationException.

Class ClassificationException

ClassificationException(String) - Constructor for class marf.Classification.ClassificationException

Generic exception

classify() - Method in class marf.Classification.Classification

Generic classification routine.

classify() - Method in class marf.Classification.Markov.Markov

classify() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

classify() - Method in class marf.Classification.Stochastic.Stochastic

classify() - Method in class marf.Classification.Distance.Distance

Classify the feature vector based on on whatever distance() dirivatives implement.

commit() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

commit() - Method in class marf.Classification.NeuralNetwork.Neuron

createLinks(Node) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

cropAudio(double, double) - Method in class marf.Preprocessing.Preprocessing

Derivatives implement this method to crop arbitrary part of the audio sample.

cropAudio(double, double) - Method in class marf.Preprocessing.Dummy.Dummy

Dummy implementation of cropAudio() for testing.

cropAudio(double, double) - Method in class marf.Preprocessing.Endpoint.Endpoint

Not Implemented

cropAudio(double, double) - Method in class marf.Preprocessing.FFTFilter.HighPassFilter

Stub implementation of cropAudio() for testing.

cropAudio(double, double) - Method in class marf.Preprocessing.FFTFilter.LowPassFilter

Stub implementation of cropAudio() for testing.

cropAudio(double, double) - Method in class marf.Preprocessing.BandpassFilter.BandpassFilter

Not Implemented

cropAudio(double, double) - Method in class marf.Preprocessing.HighFrequencyBoost.HighFrequencyBoost

Stub implementation of cropAudio() for testing.

curr - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork

currLayer - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork

currLayerBuf - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork

currNeuron - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork

D

data - Variable in class marf.gui.Spectrogram

The data vector

DataArray - Variable in class marf.gui.WaveGrapher

Data to graph

DEBUG - Static variable in class marf.MARF

Debug flag.

debug(String) - Static method in class marf.MARF

Outputs param to STDERR if DEBUG is enabled

DEFAULT_CHANNELS - Static variable in class marf.Storage.Loaders.WAVLoader

DEFAULT_FREQUENCY - Static variable in class marf.Storage.Loaders.WAVLoader

DEFAULT_SAMPLE_BIT_SIZE - Static variable in class marf.Storage.Loaders.WAVLoader

delta - Variable in class marf.Classification.NeuralNetwork.Neuron

Distance - class marf.Classification.Distance.Distance.

Class Distance

distance(double[], double[]) - Method in class marf.Classification.Distance.Distance

distance(double[], double[]) - Method in class marf.Classification.EuclideanDistance.EuclideanDistance

distance(double[], double[]) - Method in class marf.Classification.ChebyshevDistance.ChebyshevDistance

Distance(FeatureExtraction) - Constructor for class marf.Classification.Distance.Distance

Distance Constructor

DoFFT(double[], double[], double[], double[], int) - Static method in class marf.FeatureExtraction.FFT.FFT

FFT algorithm, translated from "Numerical Recipes in C++" Implements the Fast Fourier Transform, which performs a discrete Fourier transform in O(nlogn).

DoLPC(double[], double[], double[], int) - Method in class marf.FeatureExtraction.LPC.LPC

Dummy - class marf.Preprocessing.Dummy.Dummy.

Class Dummy

DUMMY - Static variable in class marf.MARF

Indicates to use Dummy preprocessing module (just normalization)

Dummy(Sample) - Constructor for class marf.Preprocessing.Dummy.Dummy

Dummy Constructor

dump() - Method in class marf.Preprocessing.Dummy.Dummy

Dummy implementation of dump() for testing.

dump() - Method in class marf.Preprocessing.Endpoint.Endpoint

Not Implemented

dump() - Method in class marf.Preprocessing.BandpassFilter.BandpassFilter

Not Implemented

dump() - Method in class marf.FeatureExtraction.FFT.FFT

Not Implemented

dump() - Method in class marf.FeatureExtraction.LPC.LPC

Not Implemented

dump() - Method in class marf.FeatureExtraction.F0.F0

Not Implemented

dump() - Method in class marf.FeatureExtraction.Cepstral.Cepstral

Not Implemented

dump() - Method in class marf.FeatureExtraction.Segmentation.Segmentation

Not Implemented

dump() - Method in class marf.Classification.Markov.Markov

dump() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

dump() - Method in class marf.Classification.Stochastic.Stochastic

dump() - Method in class marf.Classification.Distance.Distance

Not Implemented

dump() - Method in interface marf.Storage.StorageManager

An object must know how dump itself to a file.

dump() - Method in class marf.Storage.TrainingSet

Dump the current training set to disk

dump() - Method in class marf.gui.Spectrogram

Dumps spectrogram

dump() - Method in class marf.gui.WaveGrapher

Dumps graph of wave

dump(BufferedWriter) - Method in class marf.Storage.TrainingSet.TrainingSample

Write one training sample to a text file.

dumpTrainingSet() - Static method in class marf.MARF

Dumps training set to a file

dumpXML(String) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

dXmax - Variable in class marf.gui.WaveGrapher

dXmin - Variable in class marf.gui.WaveGrapher

Range of data for the X axis

E

Endpoint - class marf.Preprocessing.Endpoint.Endpoint.

Class Endpoint

ENDPOINT - Static variable in class marf.MARF

Indicates to use endpointing

Endpoint(Sample) - Constructor for class marf.Preprocessing.Endpoint.Endpoint

Endpoint Constructor

error(SAXParseException) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork.MyErrorHandler

EUCLIDEAN_DISTANCE - Static variable in class marf.MARF

Indicates to use Euclidean distance for classification

EuclideanDistance - class marf.Classification.EuclideanDistance.EuclideanDistance.

Class EuclideanDistance

EuclideanDistance(FeatureExtraction) - Constructor for class marf.Classification.EuclideanDistance.EuclideanDistance

EuclideanDistance Constructor

eval() - Method in class marf.Classification.NeuralNetwork.Neuron

extractFeatures() - Method in class marf.FeatureExtraction.FeatureExtraction

Abstract feature extraction routine.

extractFeatures() - Method in class marf.FeatureExtraction.FFT.FFT

FFT Implementation of extractFeatures()

extractFeatures() - Method in class marf.FeatureExtraction.LPC.LPC

LPC Implementation of extractFeatures()

extractFeatures() - Method in class marf.FeatureExtraction.F0.F0

Not Implemented

extractFeatures() - Method in class marf.FeatureExtraction.Cepstral.Cepstral

Not Implemented

extractFeatures() - Method in class marf.FeatureExtraction.Segmentation.Segmentation

Not Implemented

F

F0 - class marf.FeatureExtraction.F0.F0.

Class F0

F0 - Static variable in class marf.MARF

Indicates to use F0

F0(Preprocessing) - Constructor for class marf.FeatureExtraction.F0.F0

F0 Constructor

fatalError(SAXParseException) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork.MyErrorHandler

FEATURE_EXTRACTION - Static variable in class marf.Storage.ModuleParams

Indicates that we manipulate on the Feature Extraction Vector

FeatureExtraction - class marf.FeatureExtraction.FeatureExtraction.

Class FeatureExtraction

FeatureExtraction(Preprocessing) - Constructor for class marf.FeatureExtraction.FeatureExtraction

FeatureExtraction constructor

FeatureExtractionException - exception marf.FeatureExtraction.FeatureExtractionException.

Class FeatureExtractionException

FeatureExtractionException(String) - Constructor for class marf.FeatureExtraction.FeatureExtractionException

Generic exception

FFT - class marf.FeatureExtraction.FFT.FFT.

Class FFT

FFT - Static variable in class marf.MARF

Indicates to use FFT

FFT(Preprocessing) - Constructor for class marf.FeatureExtraction.FFT.FFT

FFT Constructor

FFTFilter - class marf.Preprocessing.FFTFilter.FFTFilter.

FFTFilter class

FFTFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.FFTFilter

FFTFilter Constructor

filter(double[], double[]) - Static method in class marf.Preprocessing.FFTFilter.FFTFilter

Perform a filter by the following algorithm: sample -> window -> FFT -> buffer buffer * frequency response buffer -> IFFT -> window -> sample Window used is square root of Hamming window, because the sum at half-window overlap is a constant, which avoids amplitude distortion from noise.

freqResponse - Static variable in class marf.Preprocessing.FFTFilter.FFTFilter

Frequency repsonse to be multiplied by the incoming value

G

getActionToPerform() - Static method in class marf.MARF

Gets curreny action MARF was asked to perform

getAudioFormat() - Method in class marf.Storage.Sample

getClassificationMethod() - Static method in class marf.MARF

Gets classification method to be used

getClassificationParams() - Method in class marf.Storage.ModuleParams

getConfig() - Static method in class marf.MARF

Returns a string representation of the current MARF configuration

getDumpSpectrogram() - Static method in class marf.MARF

Whether spectrogram wanted or not

getDumpWaveGraph() - Static method in class marf.MARF

Whether wave graph wanted or not

getFeatureExtractionMethod() - Static method in class marf.MARF

Gets currently selected feature extraction method.

getFeatureExtractionParams() - Method in class marf.Storage.ModuleParams

getFeaturesArray() - Method in class marf.FeatureExtraction.FeatureExtraction

getFeatureVectors() - Method in class marf.Storage.TrainingSet

getID() - Method in class marf.Storage.Result

Returns result's ID

getModuleParams() - Static method in class marf.MARF

Gets module-specific parameters and app user wishes to pass to the module

getNeuron(ArrayList, String) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

getNextChunk(double[]) - Method in class marf.Storage.Sample

Gets the next chunk of audio data and places it into chunkArray.

getParams(int) - Method in class marf.Storage.ModuleParams

Generic get*() method.

getParseExceptionInfo(SAXParseException) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork.MyErrorHandler

Returns a string describing parse exception details

getPreprocessingMethod() - Static method in class marf.MARF

Gets currently selected preprocessing method.

getPreprocessingParams() - Method in class marf.Storage.ModuleParams

getRes() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

getResult() - Static method in class marf.MARF

Gets the entire Result object

getResult() - Method in class marf.Classification.Classification

getSample() - Method in class marf.Preprocessing.Preprocessing

Returns enclosed sample.

getSample() - Method in class marf.Storage.SampleLoader

getSampleArray() - Method in class marf.Storage.Sample

Retrieves array containing audio data of the entire sample.

getSampleFile() - Static method in class marf.MARF

Obtains filename of a sample currently being processed

getSampleFormat() - Static method in class marf.MARF

Gets input sample file format

getSampleSize() - Method in class marf.Storage.Sample

Returns the length of the sample.

getSampleSize() - Method in class marf.Storage.SampleLoader

Retrieves the length of the sample (# of audio data in the audio stream).

getSecondClosestID() - Method in class marf.Storage.Result

Returns second closest ID

getTrainingSet() - Static method in class marf.MARF

Gets current training set

getVersion() - Static method in class marf.MARF

Returns a string representation of the MARF version

getWeight(Neuron) - Method in class marf.Classification.NeuralNetwork.Neuron

H

hamming(double, int) - Static method in class marf.FeatureExtraction.FeatureExtraction

Implements hamming window

HIGH_FREQUENCY_BOOST_FFT_FILTER - Static variable in class marf.MARF

Indicates to use filter boosting high frequencies

HIGH_PASS_FFT_FILTER - Static variable in class marf.MARF

Indicates to use high pass FFT filter

HIGHEST_FORMAT - Static variable in class marf.Storage.Sample

Highest possible sample format value.

HighFrequencyBoost - class marf.Preprocessing.HighFrequencyBoost.HighFrequencyBoost.

HighFrequencyBoost class

HighFrequencyBoost(Sample) - Constructor for class marf.Preprocessing.HighFrequencyBoost.HighFrequencyBoost

HighFrequencyBoost Constructor

HighPassFilter - class marf.Preprocessing.FFTFilter.HighPassFilter.

HighPassFilter class

HighPassFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.HighPassFilter

HighPassFilter Constructor

I

iActionToPerform - Static variable in class marf.MARF

Indicates what action to perform - Identify, Train, or Build Training Set

iClassificationMethod - Static variable in class marf.MARF

Indicates what classification method to use in the pipeline

iCurrentSpeaker - Static variable in class marf.MARF

ID of the currently trained speaker

IDENTIFY - Static variable in class marf.MARF

Instructs MARF to work in identification mode

iFeatureExtractionMethod - Static variable in class marf.MARF

Indicates what feature extraction method to use in the pipeline

iFeatureType - Variable in class marf.Storage.TrainingSet.TrainingSample

Which feature extraction method was used to determine this feature vector.

iFormat - Variable in class marf.Storage.Sample

Sample's format

iID - Variable in class marf.Storage.Result

Identified subject's ID

indent(BufferedWriter, int) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

indent(BufferedWriter, int) - Method in class marf.Classification.NeuralNetwork.Neuron

initialize(String, boolean) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

inputs - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork

inputs - Variable in class marf.Classification.NeuralNetwork.Neuron

interpretAsBinary() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

InvalidSampleFormatException - exception marf.util.InvalidSampleFormatException.

Class InvalidSampleFormatException

InvalidSampleFormatException(int) - Constructor for class marf.util.InvalidSampleFormatException

Generic exception

InvalidSampleFormatException(String) - Constructor for class marf.util.InvalidSampleFormatException

iPreprocessingMethod - Static variable in class marf.MARF

Indicates what preprocessing method to use in the pipeline

iPreprocessingMode - Variable in class marf.Storage.TrainingSet.TrainingSample

Which preprocessing method was applied to the sample before this feature vector was extracted.

iRequiredBitSize - Variable in class marf.Storage.Loaders.WAVLoader

iRequiredChannels - Variable in class marf.Storage.Loaders.WAVLoader

iRequiredFrequency - Variable in class marf.Storage.Loaders.WAVLoader

iSampleFormat - Static variable in class marf.MARF

Indicates what sample format is in use

iSpeakerID - Variable in class marf.Storage.TrainingSet.TrainingSample

Which speaker this feature vector is associated with.

J

JAXP_SCHEMA_LANGUAGE - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork

JAXP_SCHEMA_SOURCE - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork

L

layers - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork

loadSample(File) - Method in class marf.Storage.SampleLoader

SampleLoader interface.

loadSample(File) - Method in class marf.Storage.Loaders.MP3Loader

Not Implemented

loadSample(File) - Method in class marf.Storage.Loaders.ULAWLoader

Not Implemented

loadSample(File) - Method in class marf.Storage.Loaders.WAVLoader

Loads WAV sample data from a file.

loadSample(String) - Method in class marf.Storage.SampleLoader

Same as loadSample(File) but takes filename as an argument.

LOW_PASS_FFT_FILTER - Static variable in class marf.MARF

Indicates to use low pass FFT filter

LOWEST_FORMAT - Static variable in class marf.Storage.Sample

Lowest possible sample format value.

LowPassFilter - class marf.Preprocessing.FFTFilter.LowPassFilter.

LowPassFilter class

LowPassFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.LowPassFilter

LowPassFilter Constructor

LPC - class marf.FeatureExtraction.LPC.LPC.

Class LPC

LPC - Static variable in class marf.MARF

Indicates to use LPC

LPC(Preprocessing) - Constructor for class marf.FeatureExtraction.LPC.LPC

LPC Constructor

M

MAJOR_VERSION - Static variable in class marf.MARF

Indicates major MARF version, like 1.x.x

marf - package marf

MARF - class marf.MARF.

Class MARF

marf.Classification - package marf.Classification

marf.Classification.ChebyshevDistance - package marf.Classification.ChebyshevDistance

marf.Classification.Distance - package marf.Classification.Distance

marf.Classification.EuclideanDistance - package marf.Classification.EuclideanDistance

marf.Classification.Markov - package marf.Classification.Markov

marf.Classification.NeuralNetwork - package marf.Classification.NeuralNetwork

marf.Classification.Stochastic - package marf.Classification.Stochastic

marf.FeatureExtraction - package marf.FeatureExtraction

marf.FeatureExtraction.Cepstral - package marf.FeatureExtraction.Cepstral

marf.FeatureExtraction.F0 - package marf.FeatureExtraction.F0

marf.FeatureExtraction.FFT - package marf.FeatureExtraction.FFT

marf.FeatureExtraction.LPC - package marf.FeatureExtraction.LPC

marf.FeatureExtraction.Segmentation - package marf.FeatureExtraction.Segmentation

marf.gui - package marf.gui

marf.Preprocessing - package marf.Preprocessing

marf.Preprocessing.BandpassFilter - package marf.Preprocessing.BandpassFilter

marf.Preprocessing.Dummy - package marf.Preprocessing.Dummy

marf.Preprocessing.Endpoint - package marf.Preprocessing.Endpoint

marf.Preprocessing.FFTFilter - package marf.Preprocessing.FFTFilter

marf.Preprocessing.HighFrequencyBoost - package marf.Preprocessing.HighFrequencyBoost

marf.Stats - package marf.Stats

marf.Storage - package marf.Storage

marf.Storage.Loaders - package marf.Storage.Loaders

marf.util - package marf.util

MARF() - Constructor for class marf.MARF

Must never be instantiated

MARFException - exception marf.util.MARFException.

Class MARFException

MARFException(String) - Constructor for class marf.util.MARFException

Generic exception

MARFException(String, Exception) - Constructor for class marf.util.MARFException

This is used for debug purposes only with some unusual Exception's.

Markov - class marf.Classification.Markov.Markov.

Class Markov $Header: /cvsroot/marf/marf/src/marf/Classification/Markov/Markov.java,v 1.8 2002/12/07 23:49:57 radarsat1 Exp $

MARKOV - Static variable in class marf.MARF

Indicates to use Hidden Markov Models for classification

Markov(FeatureExtraction) - Constructor for class marf.Classification.Markov.Markov

max - Variable in class marf.gui.Spectrogram

Current maximum

min - Variable in class marf.gui.Spectrogram

Current minimum

MINOR_VERSION - Static variable in class marf.MARF

Indicates minor MARF version, like 1.1.x

ModuleParams - class marf.Storage.ModuleParams.

Class ModuleParams

ModuleParams() - Constructor for class marf.Storage.ModuleParams

Default Constructor

MP3 - Static variable in class marf.MARF

Indicates MP3 incoming sample file format

MP3 - Static variable in class marf.Storage.Sample

MP3 sample format

MP3Loader - class marf.Storage.Loaders.MP3Loader.

Not Implemented

MP3Loader() - Constructor for class marf.Storage.Loaders.MP3Loader

N

name - Variable in class marf.Classification.NeuralNetwork.Neuron

NEURAL_NETWORK - Static variable in class marf.MARF

Indicates to use Neural Network for classification

NeuralNetwork - class marf.Classification.NeuralNetwork.NeuralNetwork.

Class NeuralNetwork

NeuralNetwork.MyErrorHandler - class marf.Classification.NeuralNetwork.NeuralNetwork.MyErrorHandler.

NeuralNetwork.MyErrorHandler(PrintWriter) - Constructor for class marf.Classification.NeuralNetwork.NeuralNetwork.MyErrorHandler

NeuralNetwork(FeatureExtraction) - Constructor for class marf.Classification.NeuralNetwork.NeuralNetwork

Neuron - class marf.Classification.NeuralNetwork.Neuron.

neuron_type - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork

Neuron(String, int) - Constructor for class marf.Classification.NeuralNetwork.Neuron

NormalFFT(double[], double[]) - Static method in class marf.FeatureExtraction.FFT.FFT

Performs a normal FFT, taking a real input (supposedly an audio sample) and returns the frequency analysis in terms of "magnitude"

NormalFFT(double[], double[], double[]) - Static method in class marf.FeatureExtraction.FFT.FFT

Performs a normal FFT, taking a real input (supposedly an audio sample) and returns the frequency analysis in terms of "magnitude" and "phase angle"

normalize() - Method in class marf.Preprocessing.Preprocessing

Normalization of incoming samples by amplitude.

NotImplementedException - exception marf.util.NotImplementedException.

Class NotImplementedException

NotImplementedException(String) - Constructor for class marf.util.NotImplementedException

Generic exception

O

oAudioFormat - Variable in class marf.Storage.SampleLoader

Properties of a wave.

oAudioInputStream - Variable in class marf.Storage.SampleLoader

Stream representing wave sample.

oByteArrayOutputStream - Variable in class marf.Storage.SampleLoader

Output stream used for writing audio data.

oClassification - Variable in class marf.Storage.ModuleParams

A Vector of classification parameters.

oFeatureExtraction - Variable in class marf.Classification.Classification

Reference to the FeatureExtraction object

oFeatureExtraction - Variable in class marf.Storage.ModuleParams

A Vector of feature extraction parameters.

oFeatureVectors - Variable in class marf.Storage.TrainingSet

A Vector of TrainingSamples

oModuleParams - Static variable in class marf.MARF

Stores module-specific parameters in an independent way.

oPreprocessing - Variable in class marf.FeatureExtraction.FeatureExtraction

Internal reference to the Preprocessing module

oPreprocessingParams - Variable in class marf.Storage.ModuleParams

A Vector of preprocessing parameters.

oResult - Static variable in class marf.MARF

Stores the result of classification

oResult - Variable in class marf.Classification.Classification

Classification Result

oResultSet - Variable in class marf.Storage.Result

Distances from other speakers and other stats (growable and shrinkable)

oSample - Variable in class marf.Preprocessing.Preprocessing

Sample container

oSample - Variable in class marf.Storage.SampleLoader

Sample references of the sample to be loaded.

oTrainingSet - Static variable in class marf.MARF

Represents traing set data

out - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork.MyErrorHandler

Error handler output goes here

outputEncoding - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork

outputs - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork

outputs - Variable in class marf.Classification.NeuralNetwork.Neuron

P

p - Variable in class marf.FeatureExtraction.LPC.LPC

p - Number of poles A pole is a root of the denominator in the Laplace transform of the input-to-output representation of the speech signal.

preprocess() - Method in class marf.Preprocessing.Preprocessing

Derivatives implement this method to do general preprocessing and perhaps calling.

preprocess() - Method in class marf.Preprocessing.Dummy.Dummy

Dummy implementation of preprocess() for testing.

preprocess() - Method in class marf.Preprocessing.Endpoint.Endpoint

Not Implemented

preprocess() - Method in class marf.Preprocessing.FFTFilter.FFTFilter

FFTFilter implementation of preprocess()

preprocess() - Method in class marf.Preprocessing.BandpassFilter.BandpassFilter

Not Implemented

Preprocessing - class marf.Preprocessing.Preprocessing.

Class Preprocessing

PREPROCESSING - Static variable in class marf.Storage.ModuleParams

Indicates that we manipulate on the Preprocessing Vector

Preprocessing(Sample) - Constructor for class marf.Preprocessing.Preprocessing

Preprocessing Constructor

PreprocessingException - exception marf.Preprocessing.PreprocessingException.

Class PreprocessingException

PreprocessingException(String) - Constructor for class marf.Preprocessing.PreprocessingException

Generic exception

printXML(BufferedWriter, int) - Method in class marf.Classification.NeuralNetwork.Neuron

Q

queryResultID() - Static method in class marf.MARF

Queries for the final classification result

R

readAudioData(double[]) - Method in class marf.Storage.SampleLoader

Reads audio data from the sample's audio stream into paiAudioData.

readAudioData(double[]) - Method in class marf.Storage.Loaders.MP3Loader

Not Implemented

readAudioData(double[]) - Method in class marf.Storage.Loaders.ULAWLoader

Not Implemented

readAudioData(double[]) - Method in class marf.Storage.Loaders.WAVLoader

Buffers out the contents of audioBuffer into audioData

removeNoise() - Method in class marf.Preprocessing.Preprocessing

Derivatives implement this method to remove noise from the sample.

removeNoise() - Method in class marf.Preprocessing.Dummy.Dummy

Dummy implementation of removeNoise() for testing.

removeNoise() - Method in class marf.Preprocessing.Endpoint.Endpoint

Not Implemented

removeNoise() - Method in class marf.Preprocessing.FFTFilter.HighPassFilter

Stub implementation of removeNoise() for testing.

removeNoise() - Method in class marf.Preprocessing.FFTFilter.LowPassFilter

Stub implementation of removeNoise() for testing.

removeNoise() - Method in class marf.Preprocessing.BandpassFilter.BandpassFilter

Not Implemented

removeNoise() - Method in class marf.Preprocessing.HighFrequencyBoost.HighFrequencyBoost

Stub implementation of removeNoise() for testing.

removeSilence() - Method in class marf.Preprocessing.Preprocessing

Derivatives implement this method to remove silence.

removeSilence() - Method in class marf.Preprocessing.Dummy.Dummy

Dummy implementation of removeSilence() for testing.

removeSilence() - Method in class marf.Preprocessing.Endpoint.Endpoint

Not Implemented

removeSilence() - Method in class marf.Preprocessing.FFTFilter.HighPassFilter

Stub implementation of removeSilence() for testing.

removeSilence() - Method in class marf.Preprocessing.FFTFilter.LowPassFilter

Stub implementation of removeSilence() for testing.

removeSilence() - Method in class marf.Preprocessing.BandpassFilter.BandpassFilter

Not Implemented

removeSilence() - Method in class marf.Preprocessing.HighFrequencyBoost.HighFrequencyBoost

Stub implementation of removeSilence() for testing.

reset() - Method in class marf.Storage.SampleLoader

Resets the marker for the audio stream.

resetArrayMark() - Method in class marf.Storage.Sample

Resets the marker used for reading audio data from sample array (adSample).

restore() - Method in class marf.Preprocessing.Dummy.Dummy

Dummy implementation of restore() for testing.

restore() - Method in class marf.Preprocessing.Endpoint.Endpoint

Not Implemented

restore() - Method in class marf.Preprocessing.BandpassFilter.BandpassFilter

Not Implemented

restore() - Method in class marf.FeatureExtraction.FFT.FFT

Not Implemented

restore() - Method in class marf.FeatureExtraction.LPC.LPC

Not Implemented

restore() - Method in class marf.FeatureExtraction.F0.F0

Not Implemented

restore() - Method in class marf.FeatureExtraction.Cepstral.Cepstral

Not Implemented

restore() - Method in class marf.FeatureExtraction.Segmentation.Segmentation

Not Implemented

restore() - Method in class marf.Classification.Markov.Markov

restore() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

restore() - Method in class marf.Classification.Stochastic.Stochastic

restore() - Method in class marf.Classification.Distance.Distance

Not Implemented

restore() - Method in interface marf.Storage.StorageManager

An object must know how retore its non-transient data structures from a file.

restore() - Method in class marf.Storage.TrainingSet

Retrieve the current training set from disk

restore() - Method in class marf.gui.Spectrogram

Not implemented

restore() - Method in class marf.gui.WaveGrapher

Not implemented

restore(BufferedReader) - Method in class marf.Storage.TrainingSet.TrainingSample

Retrieve one training sample from a text file.

result - Variable in class marf.Classification.NeuralNetwork.Neuron

Result - class marf.Storage.Result.

Class Result

Result() - Constructor for class marf.Storage.Result

Default Constructor Equivalent to Result(0, null)

Result(double[]) - Constructor for class marf.Storage.Result

ResultSet Constructor Equivalent to Result(0, padResultSet)

Result(int) - Constructor for class marf.Storage.Result

ID Constructor Equivalent to Result(piID, null)

Result(int, double[]) - Constructor for class marf.Storage.Result

ID ResultSet Constructor

Result(int, Vector) - Constructor for class marf.Storage.Result

ID Vector ResultSet Constructor

REVISION - Static variable in class marf.MARF

Indicates MARF revision, like 1.1.1

runNNet() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

S

Sample - class marf.Storage.Sample.

Class Sample

Sample() - Constructor for class marf.Storage.Sample

Default constructor

Sample(double[]) - Constructor for class marf.Storage.Sample

Accepts pre-set sample for testing

Sample(int) - Constructor for class marf.Storage.Sample

Constructor with format indication

SampleLoader - class marf.Storage.SampleLoader.

Absract Class SampleLoader

SampleLoader() - Constructor for class marf.Storage.SampleLoader

Default constructor.

saveSample(File) - Method in class marf.Storage.SampleLoader

SampleLoader interface.

saveSample(File) - Method in class marf.Storage.Loaders.MP3Loader

Not Implemented

saveSample(File) - Method in class marf.Storage.Loaders.ULAWLoader

Not Implemented

saveSample(File) - Method in class marf.Storage.Loaders.WAVLoader

Saves the wave into a file for playback

saveSample(String) - Method in class marf.Storage.SampleLoader

Same as saveSample(File) but takes filename as an argument.

Segmentation - class marf.FeatureExtraction.Segmentation.Segmentation.

Class Segmentation

SEGMENTATION - Static variable in class marf.MARF

Indicates to use segmentation

Segmentation(Preprocessing) - Constructor for class marf.FeatureExtraction.Segmentation.Segmentation

Segmentation Constructor

setActionToPerform(int) - Static method in class marf.MARF

Sets action, default is Identify

setAudioFormat(int) - Method in class marf.Storage.Sample

setClassificationMethod(int) - Static method in class marf.MARF

Sets classification method to be used

setClassificationParams(Vector) - Method in class marf.Storage.ModuleParams

Sets classification parameters vector

setCurrentSpeaker(int) - Static method in class marf.MARF

Sets ID of a speaked currently being identified

setDefaults() - Method in class marf.FeatureExtraction.LPC.LPC

Sets the default values of p and windowLen if none were supplied by an application

setDumpSpectrogram(boolean) - Static method in class marf.MARF

Indicates whether spectrogram is wanted as an output of a FeatureExtraction module

setDumpWaveGraph(boolean) - Static method in class marf.MARF

Indicates whether wave graph is wanted as an output

setFeatureExtractionMethod(int) - Static method in class marf.MARF

Sets feature extraction method to be used

setFeatureExtractionParams(Vector) - Method in class marf.Storage.ModuleParams

Sets feature extraction parameters vector

setFrequencyResponse(double[]) - Static method in class marf.Preprocessing.FFTFilter.FFTFilter

Sets frequency response.

setID(int) - Method in class marf.Storage.Result

Sets ID, should only be called by a Classification module

setInputs(double[]) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

setModuleParams(ModuleParams) - Static method in class marf.MARF

Sets module-specific paramters and app user wishes to pass to the module

setParams(Vector, int) - Method in class marf.Storage.ModuleParams

Generic set*() method.

setPreprocessingMethod(int) - Static method in class marf.MARF

Sets preprocessing method to be used

setPreprocessingParams(Vector) - Method in class marf.Storage.ModuleParams

Sets preprocessing parameters vector

setSample(Sample) - Method in class marf.Storage.SampleLoader

Sets interfnal sample reference from outside

setSampleArray(double[]) - Method in class marf.Storage.Sample

Sets the internal sample array (adSample) with the specified argument.

setSampleFile(String) - Static method in class marf.MARF

Sets input sample file name

setSampleFormat(int) - Static method in class marf.MARF

Sets input sample file format

setSamplesDir(String) - Static method in class marf.MARF

Sets dir with sample files to be read from

size() - Method in class marf.Storage.TrainingSet

Sizes of the feature vectors set

Spectrogram - class marf.gui.Spectrogram.

Class Spectrogram

Spectrogram() - Constructor for class marf.gui.Spectrogram

Constructor

Spectrogram(String) - Constructor for class marf.gui.Spectrogram

Constructor with a feature extraction method name

startRecognitionPipeline() - Static method in class marf.MARF

The core processing pipeline

StatsCollector - class marf.Stats.StatsCollector.

Not Implemented

StatsCollector() - Constructor for class marf.Stats.StatsCollector

Stochastic - class marf.Classification.Stochastic.Stochastic.

Class Stochastic

STOCHASTIC - Static variable in class marf.MARF

Indicates to use stochastic models for classification

Stochastic(FeatureExtraction) - Constructor for class marf.Classification.Stochastic.Stochastic

StorageManager - interface marf.Storage.StorageManager.

Almost every concrete module must implement this interface

streamedRecognition() - Static method in class marf.MARF

Meant to provide implementation of the buffered sample processing for large samples.

strFilename - Variable in class marf.gui.WaveGrapher

Filename

strFileName - Static variable in class marf.MARF

Indicates current incoming sample filename

strFileName - Variable in class marf.Storage.TrainingSet.TrainingSample

Filename of the sample associated with this feature vector.

strMessage - Variable in class marf.util.MARFException

Error message container

strMethod - Variable in class marf.gui.Spectrogram

To differentiate file names based on the feature extraction method name.

strSamplesDir - Static variable in class marf.MARF

Indicates directory name with training samples

T

threshold - Variable in class marf.Classification.NeuralNetwork.Neuron

TRAIN - Static variable in class marf.MARF

Instructs MARF to work in general training mode (for Neural Network)

train() - Method in class marf.Classification.Classification

Generic training routine.

train() - Method in class marf.Classification.Markov.Markov

train() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

train() - Method in class marf.Classification.Stochastic.Stochastic

train() - Method in class marf.Classification.Distance.Distance

Not Implemented

train(double[], int, double) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

train(double, double, double) - Method in class marf.Classification.NeuralNetwork.Neuron

TrainingSet - class marf.Storage.TrainingSet.

TrainingSet -- Encapsulates Speaker ID and speaker's "feature" sets

TrainingSet.TrainingSample - class marf.Storage.TrainingSet.TrainingSample.

TrainingSample contains one item in the training set.

TrainingSet.TrainingSample() - Constructor for class marf.Storage.TrainingSet.TrainingSample

TrainingSet() - Constructor for class marf.Storage.TrainingSet

Construct a training set object.

type - Variable in class marf.Classification.NeuralNetwork.Neuron

U

ULAW - Static variable in class marf.MARF

Indicates ULAW incoming sample file format

ULAW - Static variable in class marf.Storage.Sample

ULAW sample format

ULAWLoader - class marf.Storage.Loaders.ULAWLoader.

Not Implemented

ULAWLoader() - Constructor for class marf.Storage.Loaders.ULAWLoader

UNK - Static variable in class marf.Storage.Sample

Unknown sample format

UNSET - Static variable in class marf.MARF

Value indecating that some configuration param is not set.

updateSample() - Method in class marf.Storage.SampleLoader

UpdateSample() is just used whenever the AudioInputStream is assigned to a new value (wave file).

W

W3C_XML_SCHEMA - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork

warning(SAXParseException) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork.MyErrorHandler

WAV - Static variable in class marf.MARF

Indicates WAV incoming sample file format

WAV - Static variable in class marf.Storage.Sample

WAVE sample format

WaveGrapher - class marf.gui.WaveGrapher.

Class WaveGrapher

WaveGrapher(double[], double, double, String, String) - Constructor for class marf.gui.WaveGrapher

Constructor

WAVLoader - class marf.Storage.Loaders.WAVLoader.

WAVLoader() - Constructor for class marf.Storage.Loaders.WAVLoader

WAVLoader Constructor.

weights - Variable in class marf.Classification.NeuralNetwork.Neuron

weightsBuf - Variable in class marf.Classification.NeuralNetwork.Neuron

windowLen - Variable in class marf.FeatureExtraction.LPC.LPC

Window length

writeAudioData(double[], int) - Method in class marf.Storage.SampleLoader

Writes audio data into the sample's audio stream.

writeAudioData(double[], int) - Method in class marf.Storage.Loaders.MP3Loader

Not Implemented

writeAudioData(double[], int) - Method in class marf.Storage.Loaders.ULAWLoader

Not Implemented

writeAudioData(double[], int) - Method in class marf.Storage.Loaders.WAVLoader

Buffers the contents of audioData into audioBuffer

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