Vamp Plugin SDK

/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */

/*

    Vamp

    An API for audio analysis and feature extraction plugins.

    Centre for Digital Music, Queen Mary, University of London.

    Copyright 2006 Chris Cannam.

    Permission is hereby granted, free of charge, to any person

    obtaining a copy of this software and associated documentation

    files (the "Software"), to deal in the Software without

    restriction, including without limitation the rights to use, copy,

    modify, merge, publish, distribute, sublicense, and/or sell copies

    of the Software, and to permit persons to whom the Software is

    furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be

    included in all copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,

    EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF

    MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND

    NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR

    ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF

    CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION

    WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

    Except as contained in this notice, the names of the Centre for

    Digital Music; Queen Mary, University of London; and Chris Cannam

    shall not be used in advertising or otherwise to promote the sale,

    use or other dealings in this Software without prior written

    authorization.

*/

#include "SpectralCentroid.h"

using std::string;

using std::vector;

using std::cerr;

using std::endl;

#include <math.h>

#ifdef __SUNPRO_CC

#include <ieeefp.h>

#define isinf(x) (!finite(x))

#endif

#ifdef WIN32

#define isnan(x) false

#define isinf(x) false

#endif

SpectralCentroid::SpectralCentroid(float inputSampleRate) :

    Plugin(inputSampleRate),

    m_stepSize(0),

    m_blockSize(0)

{

}

SpectralCentroid::~SpectralCentroid()

{

}

string

SpectralCentroid::getIdentifier() const

{

    return "spectralcentroid";

}

string

SpectralCentroid::getName() const

{

    return "Spectral Centroid";

}

string

SpectralCentroid::getDescription() const

{

    return "Calculate the centroid frequency of the spectrum of the input signal";

}

string

SpectralCentroid::getMaker() const

{

    return "Vamp SDK Example Plugins";

}

int

SpectralCentroid::getPluginVersion() const

{

    return 2;

}

string

SpectralCentroid::getCopyright() const

{

    return "Freely redistributable (BSD license)";

}

bool

SpectralCentroid::initialise(size_t channels, size_t stepSize, size_t blockSize)

{

    if (channels < getMinChannelCount() ||

        channels > getMaxChannelCount()) return false;

    m_stepSize = stepSize;

    m_blockSize = blockSize;

    return true;

}

void

SpectralCentroid::reset()

{

}

SpectralCentroid::OutputList

SpectralCentroid::getOutputDescriptors() const

{

    OutputList list;

    OutputDescriptor d;

    d.identifier = "logcentroid";

    d.name = "Log Frequency Centroid";

    d.description = "Centroid of the log weighted frequency spectrum";

    d.unit = "Hz";

    d.hasFixedBinCount = true;

    d.binCount = 1;

    d.hasKnownExtents = false;

    d.isQuantized = false;

    d.sampleType = OutputDescriptor::OneSamplePerStep;

    list.push_back(d);

    d.identifier = "linearcentroid";

    d.name = "Linear Frequency Centroid";

    d.description = "Centroid of the linear frequency spectrum";

    list.push_back(d);

    return list;

}

SpectralCentroid::FeatureSet

SpectralCentroid::process(const float *const *inputBuffers, Vamp::RealTime)

{

    if (m_stepSize == 0) {

        cerr << "ERROR: SpectralCentroid::process: "

             << "SpectralCentroid has not been initialised"

             << endl;

        return FeatureSet();

    }

    double numLin = 0.0, numLog = 0.0, denom = 0.0;

    for (size_t i = 1; i <= m_blockSize/2; ++i) {

        double freq = (double(i) * m_inputSampleRate) / m_blockSize;

        double real = inputBuffers[0][i*2];

        double imag = inputBuffers[0][i*2 + 1];

        double scalemag = sqrt(real * real + imag * imag) / (m_blockSize/2);

        numLin += freq * scalemag;

        numLog += log10f(freq) * scalemag;

        denom += scalemag;

    }

    FeatureSet returnFeatures;

    if (denom != 0.0) {

        float centroidLin = float(numLin / denom);

        float centroidLog = powf(10, float(numLog / denom));

        Feature feature;

        feature.hasTimestamp = false;

        if (!isnan(centroidLog) && !isinf(centroidLog)) {

            feature.values.push_back(centroidLog);

        }

        returnFeatures[0].push_back(feature);

        feature.values.clear();

        if (!isnan(centroidLin) && !isinf(centroidLin)) {

            feature.values.push_back(centroidLin);

        }

        returnFeatures[1].push_back(feature);

    }

    return returnFeatures;

}

SpectralCentroid::FeatureSet

SpectralCentroid::getRemainingFeatures()

{

    return FeatureSet();

}