git-svn-id: svn://localhost/ardour2/branches/3.0@2988 d708f5d6-7413-0410-9779-e7cbd77b26cf
248 lines
5.9 KiB
C++
248 lines
5.9 KiB
C++
/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */
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/*
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Vamp
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An API for audio analysis and feature extraction plugins.
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Centre for Digital Music, Queen Mary, University of London.
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This file copyright 2006 Dan Stowell.
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Permission is hereby granted, free of charge, to any person
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obtaining a copy of this software and associated documentation
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files (the "Software"), to deal in the Software without
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restriction, including without limitation the rights to use, copy,
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modify, merge, publish, distribute, sublicense, and/or sell copies
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of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be
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included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR
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ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
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CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Except as contained in this notice, the names of the Centre for
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Digital Music; Queen Mary, University of London; and Chris Cannam
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shall not be used in advertising or otherwise to promote the sale,
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use or other dealings in this Software without prior written
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authorization.
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*/
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#include "AmplitudeFollower.h"
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#include <cmath>
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#include <string>
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#include <vector>
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#include <iostream>
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using std::string;
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using std::vector;
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using std::cerr;
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using std::endl;
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/**
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* An implementation of SuperCollider's amplitude-follower algorithm
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* as a simple Vamp plugin.
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*/
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AmplitudeFollower::AmplitudeFollower(float inputSampleRate) :
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Plugin(inputSampleRate),
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m_stepSize(0),
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m_previn(0.0f),
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m_clampcoef(0.01f),
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m_relaxcoef(0.01f)
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{
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}
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AmplitudeFollower::~AmplitudeFollower()
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{
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}
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string
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AmplitudeFollower::getIdentifier() const
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{
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return "amplitudefollower";
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}
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string
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AmplitudeFollower::getName() const
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{
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return "Amplitude Follower";
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}
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string
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AmplitudeFollower::getDescription() const
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{
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return "Track the amplitude of the audio signal";
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}
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string
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AmplitudeFollower::getMaker() const
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{
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return "Vamp SDK Example Plugins";
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}
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int
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AmplitudeFollower::getPluginVersion() const
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{
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return 1;
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}
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string
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AmplitudeFollower::getCopyright() const
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{
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return "Code copyright 2006 Dan Stowell; method from SuperCollider. Freely redistributable (BSD license)";
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}
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bool
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AmplitudeFollower::initialise(size_t channels, size_t stepSize, size_t blockSize)
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{
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if (channels < getMinChannelCount() ||
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channels > getMaxChannelCount()) return false;
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m_stepSize = std::min(stepSize, blockSize);
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// Translate the coefficients
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// from their "convenient" 60dB convergence-time values
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// to real coefficients
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m_clampcoef = m_clampcoef==0.0 ? 0.0 : exp(log(0.1)/(m_clampcoef * m_inputSampleRate));
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m_relaxcoef = m_relaxcoef==0.0 ? 0.0 : exp(log(0.1)/(m_relaxcoef * m_inputSampleRate));
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return true;
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}
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void
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AmplitudeFollower::reset()
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{
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m_previn = 0.0f;
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}
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AmplitudeFollower::OutputList
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AmplitudeFollower::getOutputDescriptors() const
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{
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OutputList list;
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OutputDescriptor sca;
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sca.identifier = "amplitude";
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sca.name = "Amplitude";
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sca.description = "";
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sca.unit = "V";
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sca.hasFixedBinCount = true;
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sca.binCount = 1;
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sca.hasKnownExtents = false;
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sca.isQuantized = false;
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sca.sampleType = OutputDescriptor::OneSamplePerStep;
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list.push_back(sca);
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return list;
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}
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AmplitudeFollower::ParameterList
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AmplitudeFollower::getParameterDescriptors() const
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{
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ParameterList list;
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ParameterDescriptor att;
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att.identifier = "attack";
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att.name = "Attack time";
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att.description = "";
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att.unit = "s";
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att.minValue = 0.0f;
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att.maxValue = 1.f;
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att.defaultValue = 0.01f;
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att.isQuantized = false;
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list.push_back(att);
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ParameterDescriptor dec;
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dec.identifier = "release";
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dec.name = "Release time";
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dec.description = "";
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dec.unit = "s";
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dec.minValue = 0.0f;
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dec.maxValue = 1.f;
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dec.defaultValue = 0.01f;
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dec.isQuantized = false;
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list.push_back(dec);
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return list;
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}
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void AmplitudeFollower::setParameter(std::string paramid, float newval)
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{
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if (paramid == "attack") {
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m_clampcoef = newval;
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} else if (paramid == "release") {
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m_relaxcoef = newval;
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}
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}
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float AmplitudeFollower::getParameter(std::string paramid) const
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{
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if (paramid == "attack") {
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return m_clampcoef;
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} else if (paramid == "release") {
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return m_relaxcoef;
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}
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return 0.0f;
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}
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AmplitudeFollower::FeatureSet
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AmplitudeFollower::process(const float *const *inputBuffers,
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Vamp::RealTime timestamp)
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{
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if (m_stepSize == 0) {
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cerr << "ERROR: AmplitudeFollower::process: "
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<< "AmplitudeFollower has not been initialised"
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<< endl;
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return FeatureSet();
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}
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float previn = m_previn;
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FeatureSet returnFeatures;
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float val;
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float peak = 0.0f;
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for (size_t i = 0; i < m_stepSize; ++i) {
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val = fabs(inputBuffers[0][i]);
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if (val < previn) {
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val = val + (previn - val) * m_relaxcoef;
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} else {
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val = val + (previn - val) * m_clampcoef;
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}
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if (val > peak) peak = val;
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previn = val;
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}
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m_previn = previn;
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// Now store the "feature" (peak amp) for this sample
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Feature feature;
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feature.hasTimestamp = false;
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feature.values.push_back(peak);
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returnFeatures[0].push_back(feature);
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return returnFeatures;
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}
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AmplitudeFollower::FeatureSet
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AmplitudeFollower::getRemainingFeatures()
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{
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return FeatureSet();
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}
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