Mercurial > hg > vamp-plugin-sdk
view examples/PercussionOnsetDetector.cpp @ 43:3bbe244611bb
* Update version number to 1.0, some textual tweaks
author | cannam |
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date | Tue, 31 Oct 2006 19:55:47 +0000 |
parents | e8ecff3a9001 |
children | be8fdfe25693 |
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/* -*- 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::getName() const { return "percussiononsets"; } string PercussionOnsetDetector::getDescription() const { return "Simple Percussion Onset Detector"; } 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.name = "threshold"; d.description = "Broadband energy rise threshold"; d.unit = "dB"; d.minValue = 0; d.maxValue = 20; d.defaultValue = 3; d.isQuantized = false; list.push_back(d); d.name = "sensitivity"; d.description = "Peak detection sensitivity"; 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 name) const { if (name == "threshold") return m_threshold; if (name == "sensitivity") return m_sensitivity; return 0.f; } void PercussionOnsetDetector::setParameter(std::string name, float value) { if (name == "threshold") { if (value < 0) value = 0; if (value > 20) value = 20; m_threshold = value; } else if (name == "sensitivity") { if (value < 0) value = 0; if (value > 100) value = 100; m_sensitivity = value; } } PercussionOnsetDetector::OutputList PercussionOnsetDetector::getOutputDescriptors() const { OutputList list; OutputDescriptor d; d.name = "onsets"; d.unit = ""; d.description = "Onsets"; 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.name = "detectionfunction"; d.description = "Onset 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(float **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, lrintf(m_inputSampleRate)); returnFeatures[0].push_back(onset); } m_dfMinus2 = m_dfMinus1; m_dfMinus1 = count; return returnFeatures; } PercussionOnsetDetector::FeatureSet PercussionOnsetDetector::getRemainingFeatures() { return FeatureSet(); }