Package org.vocvark.AudioFeatures

Source Code of org.vocvark.AudioFeatures.StrongestFrequencyVariability

/*
* @(#)StrongestFrequencyVariability.java  1.0  April 5, 2005.
*
* McGill Univarsity
*/

package org.vocvark.AudioFeatures;

import org.vocvark.DataTypes.FeatureDefinition;


/**
* A feature extractor that extracts the Strongest Frequency Variability
* from window to window. This is a good measure of the amount of change
* in fundamental frequency  that a signal goes through
* over a moderate amount of time.
* <p/>
* <p>This is calculated by taking the standard deviation of the frequency
* of the power spectrum bin with the highest power over the last 100 windows.
* <p/>
* <p>No extracted feature values are stored in objects of this class.
*
* @author Cory McKay
*/
public class StrongestFrequencyVariability
        extends FeatureExtractorBaseImpl {
    /* CONSTRUCTOR **************************************************************/


    /**
     * Basic constructor that sets the definition and dependencies (and their
     * offsets) of this feature.
     */
    public StrongestFrequencyVariability() {
        String name = "Strongest Frequency Variability";
        String description = "The standard deviation of the frequency of the" +
                "power spectrum bin with the highest power over" +
                "the last 100 windows.";
        boolean is_sequential = true;
        int dimensions = 1;
        definition = new FeatureDefinition(name,
                description,
                is_sequential,
                dimensions);

        int number_windows = 100;

        dependencies = new String[number_windows];
        for (int i = 0; i < dependencies.length; i++)
            dependencies[i] = "Strongest Frequency Via FFT Maximum";

        offsets = new int[number_windows];
        for (int i = 0; i < offsets.length; i++)
            offsets[i] = 0 - i;
    }


    /* PUBLIC METHODS **********************************************************/


    /**
     * Extracts this feature from the given samples at the given sampling
     * rate and given the other feature values.
     * <p/>
     * <p>In the case of this feature the sampling_rate is ignored.
     *
     * @param samples              The samples to extract the feature from.
     * @param sampling_rate        The sampling rate that the samples are
     *                             encoded with.
     * @param other_feature_values The values of other features that are
     *                             needed to calculate this value. The
     *                             order and offsets of these features
     *                             must be the same as those returned by
     *                             this class's getDependencies and
     *                             getDependencyOffsets methods respectively.
     *                             The first indice indicates the feature/window
     *                             and the second indicates the value.
     * @throws Exception Throws an informative exception if
     *                   the feature cannot be calculated.
     * @return The extracted feature value(s).
     */
    public double[] extractFeature(double[] samples,
                                   double sampling_rate,
                                   double[][] other_feature_values)
            throws Exception {
        double[] freq = other_feature_values[0];
        double std_dev = org.vocvark.GeneralTools.Statistics.getStandardDeviation(freq);

        double[] result = new double[1];
        result[0] = std_dev;
        return result;
    }

    public Object clone() {
        return new StrongestFrequencyVariability();
    }
}
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