comparison examples/PercussionOnsetDetector.cpp @ 227:6b30e064cab7 distinct-libraries

* more moving

+/* -*- 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 "PercussionOnsetDetector.h"
+
+using std::string;
+using std::vector;
+using std::cerr;
+using std::endl;
+
+#include <cmath>
+
+
+PercussionOnsetDetector::PercussionOnsetDetector(float inputSampleRate) :
+    Plugin(inputSampleRate),
+    m_stepSize(0),
+    m_blockSize(0),
+    m_threshold(3),
+    m_sensitivity(40),
+    m_priorMagnitudes(0),
+    m_dfMinus1(0),
+    m_dfMinus2(0)
+{
+}
+
+PercussionOnsetDetector::~PercussionOnsetDetector()
+{
+    delete[] m_priorMagnitudes;
+}
+
+string
+PercussionOnsetDetector::getIdentifier() const
+{
+    return "percussiononsets";
+}
+
+string
+PercussionOnsetDetector::getName() const
+{
+    return "Simple Percussion Onset Detector";
+}
+
+string
+PercussionOnsetDetector::getDescription() const
+{
+    return "Detect percussive note onsets by identifying broadband energy rises";
+}
+
+string
+PercussionOnsetDetector::getMaker() const
+{
+    return "Vamp SDK Example Plugins";
+}
+
+int
+PercussionOnsetDetector::getPluginVersion() const
+{
+    return 2;
+}
+
+string
+PercussionOnsetDetector::getCopyright() const
+{
+    return "Code copyright 2006 Queen Mary, University of London, after Dan Barry et al 2005.  Freely redistributable (BSD license)";
+}
+
+size_t
+PercussionOnsetDetector::getPreferredStepSize() const
+{
+    return 0;
+}
+
+size_t
+PercussionOnsetDetector::getPreferredBlockSize() const
+{
+    return 1024;
+}
+
+bool
+PercussionOnsetDetector::initialise(size_t channels, size_t stepSize, size_t blockSize)
+{
+    if (channels < getMinChannelCount() ||
+	channels > getMaxChannelCount()) return false;
+
+    m_stepSize = stepSize;
+    m_blockSize = blockSize;
+
+    m_priorMagnitudes = new float[m_blockSize/2];
+
+    for (size_t i = 0; i < m_blockSize/2; ++i) {
+        m_priorMagnitudes[i] = 0.f;
+    }
+
+    m_dfMinus1 = 0.f;
+    m_dfMinus2 = 0.f;
+
+    return true;
+}
+
+void
+PercussionOnsetDetector::reset()
+{
+    for (size_t i = 0; i < m_blockSize/2; ++i) {
+        m_priorMagnitudes[i] = 0.f;
+    }
+
+    m_dfMinus1 = 0.f;
+    m_dfMinus2 = 0.f;
+}
+
+PercussionOnsetDetector::ParameterList
+PercussionOnsetDetector::getParameterDescriptors() const
+{
+    ParameterList list;
+
+    ParameterDescriptor d;
+    d.identifier = "threshold";
+    d.name = "Energy rise threshold";
+    d.description = "Energy rise within a frequency bin necessary to count toward broadband total";
+    d.unit = "dB";
+    d.minValue = 0;
+    d.maxValue = 20;
+    d.defaultValue = 3;
+    d.isQuantized = false;
+    list.push_back(d);
+
+    d.identifier = "sensitivity";
+    d.name = "Sensitivity";
+    d.description = "Sensitivity of peak detector applied to broadband detection function";
+    d.unit = "%";
+    d.minValue = 0;
+    d.maxValue = 100;
+    d.defaultValue = 40;
+    d.isQuantized = false;
+    list.push_back(d);
+
+    return list;
+}
+
+float
+PercussionOnsetDetector::getParameter(std::string id) const
+{
+    if (id == "threshold") return m_threshold;
+    if (id == "sensitivity") return m_sensitivity;
+    return 0.f;
+}
+
+void
+PercussionOnsetDetector::setParameter(std::string id, float value)
+{
+    if (id == "threshold") {
+        if (value < 0) value = 0;
+        if (value > 20) value = 20;
+        m_threshold = value;
+    } else if (id == "sensitivity") {
+        if (value < 0) value = 0;
+        if (value > 100) value = 100;
+        m_sensitivity = value;
+    }
+}
+
+PercussionOnsetDetector::OutputList
+PercussionOnsetDetector::getOutputDescriptors() const
+{
+    OutputList list;
+
+    OutputDescriptor d;
+    d.identifier = "onsets";
+    d.name = "Onsets";
+    d.description = "Percussive note onset locations";
+    d.unit = "";
+    d.hasFixedBinCount = true;
+    d.binCount = 0;
+    d.hasKnownExtents = false;
+    d.isQuantized = false;
+    d.sampleType = OutputDescriptor::VariableSampleRate;
+    d.sampleRate = m_inputSampleRate;
+    list.push_back(d);
+
+    d.identifier = "detectionfunction";
+    d.name = "Detection Function";
+    d.description = "Broadband energy rise detection function";
+    d.binCount = 1;
+    d.isQuantized = true;
+    d.quantizeStep = 1.0;
+    d.sampleType = OutputDescriptor::OneSamplePerStep;
+    list.push_back(d);
+
+    return list;
+}
+
+PercussionOnsetDetector::FeatureSet
+PercussionOnsetDetector::process(const float *const *inputBuffers,
+                                 Vamp::RealTime ts)
+{
+    if (m_stepSize == 0) {
+	cerr << "ERROR: PercussionOnsetDetector::process: "
+	     << "PercussionOnsetDetector has not been initialised"
+	     << endl;
+	return FeatureSet();
+    }
+
+    int count = 0;
+
+    for (size_t i = 1; i < m_blockSize/2; ++i) {
+
+        float real = inputBuffers[0][i*2];
+        float imag = inputBuffers[0][i*2 + 1];
+
+        float sqrmag = real * real + imag * imag;
+
+        if (m_priorMagnitudes[i] > 0.f) {
+            float diff = 10.f * log10f(sqrmag / m_priorMagnitudes[i]);
+
+//        std::cout << "i=" << i << ", mag=" << mag << ", prior=" << m_priorMagnitudes[i] << ", diff=" << diff << ", threshold=" << m_threshold << std::endl;
+
+            if (diff >= m_threshold) ++count;
+        }
+
+        m_priorMagnitudes[i] = sqrmag;
+    }
+
+    FeatureSet returnFeatures;
+
+    Feature detectionFunction;
+    detectionFunction.hasTimestamp = false;
+    detectionFunction.values.push_back(count);
+    returnFeatures[1].push_back(detectionFunction);
+
+    if (m_dfMinus2 < m_dfMinus1 &&
+        m_dfMinus1 >= count &&
+        m_dfMinus1 > ((100 - m_sensitivity) * m_blockSize) / 200) {
+
+        Feature onset;
+        onset.hasTimestamp = true;
+        onset.timestamp = ts - Vamp::RealTime::frame2RealTime
+            (m_stepSize, int(m_inputSampleRate + 0.5));
+        returnFeatures[0].push_back(onset);
+    }
+
+    m_dfMinus2 = m_dfMinus1;
+    m_dfMinus1 = count;
+
+    return returnFeatures;
+}
+
+PercussionOnsetDetector::FeatureSet
+PercussionOnsetDetector::getRemainingFeatures()
+{
+    return FeatureSet();
+}
+