1 /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
2 
3 /*
4     Vamp
5 
6     An API for audio analysis and feature extraction plugins.
7 
8     Centre for Digital Music, Queen Mary, University of London.
9     Copyright 2006 Chris Cannam.
10 
11     Permission is hereby granted, free of charge, to any person
12     obtaining a copy of this software and associated documentation
13     files (the "Software"), to deal in the Software without
14     restriction, including without limitation the rights to use, copy,
15     modify, merge, publish, distribute, sublicense, and/or sell copies
16     of the Software, and to permit persons to whom the Software is
17     furnished to do so, subject to the following conditions:
18 
19     The above copyright notice and this permission notice shall be
20     included in all copies or substantial portions of the Software.
21 
22     THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
23     EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
24     MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
25     NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR
26     ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
27     CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
28     WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
29 
30     Except as contained in this notice, the names of the Centre for
31     Digital Music; Queen Mary, University of London; and Chris Cannam
32     shall not be used in advertising or otherwise to promote the sale,
33     use or other dealings in this Software without prior written
34     authorization.
35 */
36 
37 #include "PercussionOnsetDetector.h"
38 
39 using std::string;
40 using std::vector;
41 using std::cerr;
42 using std::endl;
43 
44 #include <cmath>
45 
46 
47 PercussionOnsetDetector::PercussionOnsetDetector(float inputSampleRate) :
48     Plugin(inputSampleRate),
49     m_stepSize(0),
50     m_blockSize(0),
51     m_threshold(3),
52     m_sensitivity(40),
53     m_priorMagnitudes(0),
54     m_dfMinus1(0),
55     m_dfMinus2(0)
56 {
getPreferredStepSize() const57 }
58 
59 PercussionOnsetDetector::~PercussionOnsetDetector()
60 {
61     delete[] m_priorMagnitudes;
62 }
63 
64 string
65 PercussionOnsetDetector::getIdentifier() const
66 {
67     return "percussiononsets";
68 }
69 
70 string
71 PercussionOnsetDetector::getName() const
72 {
73     return "Simple Percussion Onset Detector";
74 }
75 
76 string
77 PercussionOnsetDetector::getDescription() const
78 {
79     return "Detect percussive note onsets by identifying broadband energy rises";
80 }
81 
82 string
83 PercussionOnsetDetector::getMaker() const
84 {
85     return "Vamp SDK Example Plugins";
86 }
87 
88 int
89 PercussionOnsetDetector::getPluginVersion() const
90 {
91     return 2;
92 }
93 
94 string
95 PercussionOnsetDetector::getCopyright() const
96 {
97     return "Code copyright 2006 Queen Mary, University of London, after Dan Barry et al 2005.  Freely redistributable (BSD license)";
98 }
D(float inputSampleRate)99 
100 size_t
101 PercussionOnsetDetector::getPreferredStepSize() const
102 {
103     return 0;
104 }
105 
106 size_t
107 PercussionOnsetDetector::getPreferredBlockSize() const
108 {
109     return 1024;
110 }
111 
112 bool
113 PercussionOnsetDetector::initialise(size_t channels, size_t stepSize, size_t blockSize)
114 {
~D()115     if (channels < getMinChannelCount() ||
116 	channels > getMaxChannelCount()) return false;
117 
118     m_stepSize = stepSize;
119     m_blockSize = blockSize;
120 
121     m_priorMagnitudes = new float[m_blockSize/2];
122 
123     for (size_t i = 0; i < m_blockSize/2; ++i) {
124         m_priorMagnitudes[i] = 0.f;
getParameterDescriptors() const125     }
126 
127     m_dfMinus1 = 0.f;
128     m_dfMinus2 = 0.f;
129 
130     return true;
131 }
132 
133 void
134 PercussionOnsetDetector::reset()
135 {
136     for (size_t i = 0; i < m_blockSize/2; ++i) {
137         m_priorMagnitudes[i] = 0.f;
138     }
139 
140     m_dfMinus1 = 0.f;
141     m_dfMinus2 = 0.f;
142 }
143 
144 PercussionOnsetDetector::ParameterList
145 PercussionOnsetDetector::getParameterDescriptors() const
146 {
147     ParameterList list;
148 
149     ParameterDescriptor d;
150     d.identifier = "threshold";
151     d.name = "Energy rise threshold";
152     d.description = "Energy rise within a frequency bin necessary to count toward broadband total";
153     d.unit = "dB";
154     d.minValue = 0;
155     d.maxValue = 20;
156     d.defaultValue = 3;
157     d.isQuantized = false;
158     list.push_back(d);
getParameter(string id) const159 
160     d.identifier = "sensitivity";
161     d.name = "Sensitivity";
162     d.description = "Sensitivity of peak detector applied to broadband detection function";
163     d.unit = "%";
164     d.minValue = 0;
165     d.maxValue = 100;
166     d.defaultValue = 40;
167     d.isQuantized = false;
168     list.push_back(d);
169 
170     return list;
171 }
setParameter(string id,float value)172 
173 float
174 PercussionOnsetDetector::getParameter(std::string id) const
175 {
176     if (id == "threshold") return m_threshold;
177     if (id == "sensitivity") return m_sensitivity;
178     return 0.f;
179 }
180 
181 void
182 PercussionOnsetDetector::setParameter(std::string id, float value)
183 {
184     if (id == "threshold") {
185         if (value < 0) value = 0;
186         if (value > 20) value = 20;
187         m_threshold = value;
188     } else if (id == "sensitivity") {
189         if (value < 0) value = 0;
getOutputDescriptors() const190         if (value > 100) value = 100;
191         m_sensitivity = value;
192     }
193 }
194 
195 PercussionOnsetDetector::OutputList
196 PercussionOnsetDetector::getOutputDescriptors() const
197 {
198     OutputList list;
199 
200     OutputDescriptor d;
201     d.identifier = "onsets";
202     d.name = "Onsets";
203     d.description = "Percussive note onset locations";
204     d.unit = "";
205     d.hasFixedBinCount = true;
206     d.binCount = 0;
207     d.hasKnownExtents = false;
208     d.isQuantized = false;
209     d.sampleType = OutputDescriptor::VariableSampleRate;
210     d.sampleRate = m_inputSampleRate;
211     list.push_back(d);
212 
213     d.identifier = "detectionfunction";
214     d.name = "Detection Function";
215     d.description = "Broadband energy rise detection function";
216     d.binCount = 1;
217     d.isQuantized = true;
218     d.quantizeStep = 1.0;
219     d.sampleType = OutputDescriptor::OneSamplePerStep;
220     list.push_back(d);
221 
222     return list;
223 }
224 
225 PercussionOnsetDetector::FeatureSet
226 PercussionOnsetDetector::process(const float *const *inputBuffers,
227                                  Vamp::RealTime ts)
228 {
229     if (m_stepSize == 0) {
230 	cerr << "ERROR: PercussionOnsetDetector::process: "
231 	     << "PercussionOnsetDetector has not been initialised"
232 	     << endl;
233 	return FeatureSet();
234     }
235 
236     int count = 0;
237 
238     for (size_t i = 1; i < m_blockSize/2; ++i) {
239 
240         float real = inputBuffers[0][i*2];
241         float imag = inputBuffers[0][i*2 + 1];
242 
243         float sqrmag = real * real + imag * imag;
244 
245         if (m_priorMagnitudes[i] > 0.f) {
246             float diff = 10.f * log10f(sqrmag / m_priorMagnitudes[i]);
247 
248 //        std::cout << "i=" << i << ", sqrmag=" << sqrmag << ", prior=" << m_priorMagnitudes[i] << ", diff=" << diff << ", threshold=" << m_threshold << " " << (diff >= m_threshold ? "[*]" : "") << std::endl;
249 
250             if (diff >= m_threshold) ++count;
251         }
initialise(size_t,size_t stepSize,size_t blockSize)252 
253         m_priorMagnitudes[i] = sqrmag;
254     }
255 
256     FeatureSet returnFeatures;
257 
258     Feature detectionFunction;
259     detectionFunction.hasTimestamp = false;
260     detectionFunction.values.push_back(count);
261     returnFeatures[1].push_back(detectionFunction);
262 
263     if (m_dfMinus2 < m_dfMinus1 &&
264         m_dfMinus1 >= count &&
265         m_dfMinus1 > ((100 - m_sensitivity) * m_blockSize) / 200) {
266 
267 //std::cout << "result at " << ts << "! (count == " << count << ", prev == " << m_dfMinus1 << ")" << std::endl;
268 
269         Feature onset;
270         onset.hasTimestamp = true;
271         onset.timestamp = ts - Vamp::RealTime::frame2RealTime
272             (m_stepSize, int(m_inputSampleRate + 0.5));
273         returnFeatures[0].push_back(onset);
274     }
275 
reset()276     m_dfMinus2 = m_dfMinus1;
277     m_dfMinus1 = count;
278 
279     return returnFeatures;
280 }
281 
282 PercussionOnsetDetector::FeatureSet
283 PercussionOnsetDetector::getRemainingFeatures()
284 {
285     return FeatureSet();
286 }
287 
288