inpro.features
Class EOTFeatureAggregator

java.lang.Object
  inpro.features.EOTFeatureAggregator

All Implemented Interfaces:

edu.cmu.sphinx.instrumentation.Resetable, edu.cmu.sphinx.util.props.Configurable, SignalFeatureListener, java.util.EventListener

Direct Known Subclasses:

EOTPredictor, EOTTrainer

public class EOTFeatureAggregator
extends java.lang.Object
implements edu.cmu.sphinx.instrumentation.Resetable, edu.cmu.sphinx.util.props.Configurable, SignalFeatureListener

implements SignalFeatureListener and derives acoustic features (that may or may not be) useful for EOT detection

Author:

timo

Field Summary

protected boolean	CLUSTERED_TIME
protected boolean	CONTINUOUS_TIME
private weka.core.Attribute	currentFrameEnergyAttribute
(package private) double	currentFrameEnergyValue
private weka.core.Attribute	currentPitchAttribute
(package private) double	currentPitchValue
private weka.core.Attribute	currentVoicingAttribute
(package private) boolean	currentVoicingValue
private weka.core.Attribute[]	energyRegressionAttributes
(package private) TimeShiftingAnalysis[]	energyRegressions
private int[]	energyRegressionSteps
protected weka.core.Attribute	framesIntoAudioAttribute
(package private) int	framesIntoAudioValue
(package private) boolean	includeFrameCount
protected weka.core.Instances	instances
private static int[]	noSteps
(package private) int	numAttributes total number of attributes in an instance
private weka.core.Attribute[]	pitchRegressionAttributes
(package private) TimeShiftingAnalysis[]	pitchRegressions
private int[]	pitchRegressionSteps
static java.lang.String	PROP_CLUSTER_TIME
static java.lang.String	PROP_CONTINUOUS_TIME
static java.lang.String	PROP_ENERGY_WINDOWS_LIST
static java.lang.String	PROP_FRAME_COUNT
static java.lang.String	PROP_PITCH_WINDOWS_LIST
static java.lang.String	PROP_VENERGY_WINDOWS_LIST
private static java.lang.String[]	regressionParams names for the sub-parameters for energy, voice and pitch
protected weka.core.Attribute	timeToEOT
protected weka.core.Attribute	turnBin
private weka.core.Attribute[]	voicedEnergyRegressionAttributes
(package private) TimeShiftingAnalysis[]	voicedEnergyRegressions
private int[]	voicedEnergyRegressionSteps

Constructor Summary

EOTFeatureAggregator()

Method Summary

void	createFeatures()
private static weka.core.Attribute[]	createRegressionAttributesFor(int[] steps, java.lang.String name, weka.core.FastVector attInfo)
private static TimeShiftingAnalysis[]	createRegressions(int[] steps)
double	getCurrentEnergy()
double	getCurrentPitch()
weka.core.Instance	getNewestFeatures()
double	getTimeIntoAudio()
void	newProperties(edu.cmu.sphinx.util.props.PropertySheet ps)
void	newSignalFeatures(double logEnergy, boolean voicing, double pitch)
void	newSignalFeatures(int frame, double power, boolean voicing, double pitch) Method called when a new set of signal features is available
void	printArffHeader()
private int[]	regressionArrayForList(java.lang.String s)
void	reset()
private void	reset(TimeShiftingAnalysis[] tsas)
void	setCurrentFrameEnergy(double logEnergy)
void	setCurrentPitch(double pitch)
void	setCurrentVoicing(boolean voicing)
private void	setRegressionValues(weka.core.Attribute[] atts, TimeShiftingAnalysis[] tsas, weka.core.Instance instance)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

PROP_PITCH_WINDOWS_LIST

@S4String
public static final java.lang.String PROP_PITCH_WINDOWS_LIST

See Also:

Constant Field Values

PROP_ENERGY_WINDOWS_LIST

@S4String
public static final java.lang.String PROP_ENERGY_WINDOWS_LIST

See Also:

Constant Field Values

PROP_VENERGY_WINDOWS_LIST

@S4String
public static final java.lang.String PROP_VENERGY_WINDOWS_LIST

See Also:

Constant Field Values

PROP_CLUSTER_TIME

@S4Boolean(defaultValue=false)
public static final java.lang.String PROP_CLUSTER_TIME

See Also:

Constant Field Values

PROP_CONTINUOUS_TIME

@S4Boolean(defaultValue=false)
public static final java.lang.String PROP_CONTINUOUS_TIME

See Also:

Constant Field Values

PROP_FRAME_COUNT

@S4Boolean(defaultValue=false)
public static final java.lang.String PROP_FRAME_COUNT

See Also:

Constant Field Values

noSteps

private static final int[] noSteps

energyRegressionSteps

private int[] energyRegressionSteps

voicedEnergyRegressionSteps

private int[] voicedEnergyRegressionSteps

pitchRegressionSteps

private int[] pitchRegressionSteps

regressionParams

private static final java.lang.String[] regressionParams

names for the sub-parameters for energy, voice and pitch

framesIntoAudioAttribute

protected weka.core.Attribute framesIntoAudioAttribute

includeFrameCount

@S4Boolean(defaultValue=true)
boolean includeFrameCount

currentFrameEnergyAttribute

private weka.core.Attribute currentFrameEnergyAttribute

energyRegressionAttributes

private weka.core.Attribute[] energyRegressionAttributes

voicedEnergyRegressionAttributes

private weka.core.Attribute[] voicedEnergyRegressionAttributes

currentVoicingAttribute

private weka.core.Attribute currentVoicingAttribute

currentPitchAttribute

private weka.core.Attribute currentPitchAttribute

pitchRegressionAttributes

private weka.core.Attribute[] pitchRegressionAttributes

CLUSTERED_TIME

@S4Boolean(defaultValue=false)
protected boolean CLUSTERED_TIME

CONTINUOUS_TIME

@S4Boolean(defaultValue=false)
protected boolean CONTINUOUS_TIME

timeToEOT

protected weka.core.Attribute timeToEOT

turnBin

protected weka.core.Attribute turnBin

instances

protected weka.core.Instances instances

framesIntoAudioValue

int framesIntoAudioValue

currentFrameEnergyValue

double currentFrameEnergyValue

energyRegressions

TimeShiftingAnalysis[] energyRegressions

voicedEnergyRegressions

TimeShiftingAnalysis[] voicedEnergyRegressions

currentVoicingValue

boolean currentVoicingValue

currentPitchValue

double currentPitchValue

pitchRegressions

TimeShiftingAnalysis[] pitchRegressions

numAttributes

int numAttributes

total number of attributes in an instance

Constructor Detail

EOTFeatureAggregator

public EOTFeatureAggregator()

Method Detail

createRegressionAttributesFor

private static weka.core.Attribute[] createRegressionAttributesFor(int[] steps,
                                                                   java.lang.String name,
                                                                   weka.core.FastVector attInfo)

createRegressions

private static TimeShiftingAnalysis[] createRegressions(int[] steps)

setRegressionValues

private void setRegressionValues(weka.core.Attribute[] atts,
                                 TimeShiftingAnalysis[] tsas,
                                 weka.core.Instance instance)

createFeatures

public void createFeatures()

getNewestFeatures

public weka.core.Instance getNewestFeatures()

getTimeIntoAudio

public double getTimeIntoAudio()

setCurrentFrameEnergy

public void setCurrentFrameEnergy(double logEnergy)

setCurrentVoicing

public void setCurrentVoicing(boolean voicing)

setCurrentPitch

public void setCurrentPitch(double pitch)

reset

private void reset(TimeShiftingAnalysis[] tsas)

reset

public void reset()

Specified by:

reset in interface edu.cmu.sphinx.instrumentation.Resetable

regressionArrayForList

private int[] regressionArrayForList(java.lang.String s)

printArffHeader

public void printArffHeader()

newProperties

public void newProperties(edu.cmu.sphinx.util.props.PropertySheet ps)
                   throws edu.cmu.sphinx.util.props.PropertyException

Specified by:

newProperties in interface edu.cmu.sphinx.util.props.Configurable

Throws:

edu.cmu.sphinx.util.props.PropertyException

getCurrentEnergy

public double getCurrentEnergy()

getCurrentPitch

public double getCurrentPitch()

newSignalFeatures

public void newSignalFeatures(double logEnergy,
                              boolean voicing,
                              double pitch)

newSignalFeatures

public void newSignalFeatures(int frame,
                              double power,
                              boolean voicing,
                              double pitch)

Description copied from interface: SignalFeatureListener

Method called when a new set of signal features is available

Specified by:

newSignalFeatures in interface SignalFeatureListener

Parameters:

frame - the frame number for this result

power - average power per sample in the frame param rbcpower average power per sample after filtering the frame with a revised B-curve filter

voicing - whether this frame is voiced

pitch - pitch for this frame in cent relative to 100 Hz