public void InvalidMinFrequencyTest()
{
var configuration = new CustomSpectrogramConfig
{ FrequencyRange = new FrequencyRange { Max = 5512, Min = -1 } };
Assert.Fail();
}
public void CutLogarithmizedSpectrumOfJustOneFingerprintTest()
{
var stride = new StaticStride(0, 0);
var configuration = new CustomSpectrogramConfig {
Stride = stride
};
int logSpectrumLength = configuration.ImageLength; // 128
var logSpectrum = GetLogSpectrum(logSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, configuration);
Assert.AreEqual(1, cutLogarithmizedSpectrum.Count);
}
public void CreateLogSpectrogramFromMinimalSamplesLengthTest()
{
var configuration = new CustomSpectrogramConfig { NormalizeSignal = false };
var samples = TestUtilities.GenerateRandomAudioSamples(new DefaultFingerprintConfiguration().SamplesPerFingerprint + configuration.WdftSize); // 8192 + 2048
logUtility.Setup(utility => utility.GenerateLogFrequenciesRanges(SampleRate, configuration)).Returns(new int[33]);
fftService.Setup(service => service.FFTForward(samples.Samples, It.IsAny<int>(), configuration.WdftSize))
.Returns(TestUtilities.GenerateRandomFloatArray(2048));
var result = spectrumService.CreateLogSpectrogram(samples, configuration);
logUtility.Verify(utility => utility.GenerateLogFrequenciesRanges(SampleRate, configuration), Times.Once());
Assert.AreEqual(1, result.Count);
Assert.AreEqual(configuration.ImageLength, result[0].Image.Length);
}
public void CustomSpectrumValuesInheritFromDefault()
{
SpectrogramConfig defaultConfiguration = SpectrogramConfig.Default;
SpectrogramConfig customConfiguration = new CustomSpectrogramConfig();
Assert.AreEqual(defaultConfiguration.ImageLength, customConfiguration.ImageLength);
Assert.AreEqual(defaultConfiguration.LogBase, customConfiguration.LogBase);
Assert.AreEqual(defaultConfiguration.LogBins, customConfiguration.LogBins);
Assert.AreEqual(defaultConfiguration.FrequencyRange.Max, customConfiguration.FrequencyRange.Max);
Assert.AreEqual(defaultConfiguration.FrequencyRange.Min, customConfiguration.FrequencyRange.Min);
Assert.AreEqual(defaultConfiguration.UseDynamicLogBase, customConfiguration.UseDynamicLogBase);
Assert.AreEqual(defaultConfiguration.WdftSize, customConfiguration.WdftSize);
Assert.AreEqual(defaultConfiguration.Overlap, customConfiguration.Overlap);
}
public void CustomSpectrumValuesInheritFromDefault()
{
SpectrogramConfig defaultConfiguration = new DefaultSpectrogramConfig();
SpectrogramConfig customConfiguration = new CustomSpectrogramConfig();
Assert.AreEqual(defaultConfiguration.ImageLength, customConfiguration.ImageLength);
Assert.AreEqual(defaultConfiguration.LogBase, customConfiguration.LogBase);
Assert.AreEqual(defaultConfiguration.LogBins, customConfiguration.LogBins);
Assert.AreEqual(defaultConfiguration.FrequencyRange.Max, customConfiguration.FrequencyRange.Max);
Assert.AreEqual(defaultConfiguration.FrequencyRange.Min, customConfiguration.FrequencyRange.Min);
Assert.AreEqual(defaultConfiguration.UseDynamicLogBase, customConfiguration.UseDynamicLogBase);
Assert.AreEqual(defaultConfiguration.WdftSize, customConfiguration.WdftSize);
Assert.AreEqual(defaultConfiguration.Overlap, customConfiguration.Overlap);
}
public void CreateLogSpectrogramTest()
{
var configuration = new CustomSpectrogramConfig { ImageLength = 2048 };
var samples = TestUtilities.GenerateRandomAudioSamples((configuration.Overlap * configuration.WdftSize) + configuration.WdftSize); // 64 * 2048
logUtility.Setup(utility => utility.GenerateLogFrequenciesRanges(SampleRate, configuration)).Returns(new int[33]);
fftService.Setup(service => service.FFTForward(samples.Samples, It.IsAny<int>(), configuration.WdftSize))
.Returns(TestUtilities.GenerateRandomFloatArray(2048));
var result = spectrumService.CreateLogSpectrogram(samples, configuration);
logUtility.Verify(utility => utility.GenerateLogFrequenciesRanges(SampleRate, configuration), Times.Once());
Assert.AreEqual(1, result.Count);
Assert.AreEqual(configuration.WdftSize, result[0].Image.Length);
Assert.AreEqual(32, result[0].Image[0].Length);
}
public void CutLogarithmizedSpectrumTest()
{
var stride = new StaticStride(0, 0);
var configuration = new CustomSpectrogramConfig { Stride = stride };
const int LogSpectrumLength = 1024;
var logSpectrum = GetLogSpectrum(LogSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, configuration);
Assert.AreEqual(8, cutLogarithmizedSpectrum.Count);
double lengthOfOneFingerprint = (double)configuration.ImageLength * configuration.Overlap / SampleRate;
for (int i = 0; i < cutLogarithmizedSpectrum.Count; i++)
{
Assert.IsTrue(
System.Math.Abs(cutLogarithmizedSpectrum[i].Timestamp - (i * lengthOfOneFingerprint)) < Epsilon);
}
}
public void CreateLogSpectrogramFromMinimalSamplesLengthTest()
{
var configuration = new CustomSpectrogramConfig {
NormalizeSignal = false
};
var samples = TestUtilities.GenerateRandomAudioSamples(new DefaultFingerprintConfiguration().SamplesPerFingerprint + configuration.WdftSize); // 8192 + 2048
logUtility.Setup(utility => utility.GenerateLogFrequenciesRanges(SampleRate, configuration)).Returns(new int[33]);
fftService.Setup(service => service.FFTForward(samples.Samples, It.IsAny <int>(), configuration.WdftSize))
.Returns(TestUtilities.GenerateRandomFloatArray(2048));
var result = spectrumService.CreateLogSpectrogram(samples, configuration);
logUtility.Verify(utility => utility.GenerateLogFrequenciesRanges(SampleRate, configuration), Times.Once());
Assert.AreEqual(1, result.Count);
Assert.AreEqual(configuration.ImageLength, result[0].Image.Length);
}
public void CreateLogSpectrogramTest()
{
var configuration = new CustomSpectrogramConfig {
ImageLength = 2048
};
var samples = TestUtilities.GenerateRandomAudioSamples((configuration.Overlap * configuration.WdftSize) + configuration.WdftSize); // 64 * 2048
logUtility.Setup(utility => utility.GenerateLogFrequenciesRanges(SampleRate, configuration)).Returns(new int[33]);
fftService.Setup(service => service.FFTForward(samples.Samples, It.IsAny <int>(), configuration.WdftSize))
.Returns(TestUtilities.GenerateRandomFloatArray(2048));
var result = spectrumService.CreateLogSpectrogram(samples, configuration);
logUtility.Verify(utility => utility.GenerateLogFrequenciesRanges(SampleRate, configuration), Times.Once());
Assert.AreEqual(1, result.Count);
Assert.AreEqual(configuration.WdftSize, result[0].Image.Length);
Assert.AreEqual(32, result[0].Image[0].Length);
}
public void CutLogarithmizedSpectrumWithAnIncrementalStaticStride()
{
var stride = new IncrementalStaticStride(new DefaultFingerprintConfiguration().SamplesPerFingerprint / 2, new DefaultFingerprintConfiguration().SamplesPerFingerprint, 0);
var config = new CustomSpectrogramConfig {
Stride = stride
};
int logSpectrumLength = (config.ImageLength * 24) + config.Overlap;
var logSpectrum = GetLogSpectrum(logSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, config);
Assert.AreEqual(48, cutLogarithmizedSpectrum.Count);
double lengthOfOneFingerprint = (double)config.ImageLength * config.Overlap / SampleRate;
for (int i = 0; i < cutLogarithmizedSpectrum.Count; i++)
{
Assert.IsTrue(System.Math.Abs(cutLogarithmizedSpectrum[i].Timestamp - (i * lengthOfOneFingerprint / 2)) < Epsilon);
}
}
public void GenerateLogFrequenciesRangesTest()
{
var defaultConfig = new CustomSpectrogramConfig { UseDynamicLogBase = false, LogBase = 10 };
float[] logSpacedFrequencies = new[] // generated in matlab with logspace(2.50242712, 3.3010299957, 33)
{
318.00f, 336.81f, 356.73f, 377.83f, 400.18f, 423.85f, 448.92f, 475.47f, 503.59f, 533.38f, 564.92f,
598.34f, 633.73f, 671.21f, 710.91f, 752.96f, 797.50f, 844.67f, 894.63f, 947.54f, 1003.58f, 1062.94f,
1125.81f, 1192.40f, 1262.93f, 1337.63f, 1416.75f, 1500.54f, 1589.30f, 1683.30f, 1782.86f, 1888.31f,
2000f
};
int[] indexes = logUtility.GenerateLogFrequenciesRanges(defaultFingerprintConfiguration.SampleRate, defaultConfig);
for (int i = 0; i < logSpacedFrequencies.Length; i++)
{
var logSpacedFrequency = logSpacedFrequencies[i];
int index = logUtility.FrequencyToSpectrumIndex(logSpacedFrequency, defaultFingerprintConfiguration.SampleRate, defaultConfig.WdftSize);
Assert.AreEqual(index, indexes[i]);
}
}
public void CutLogarithmizedSpectrumTest()
{
var stride = new StaticStride(0, 0);
var configuration = new CustomSpectrogramConfig {
Stride = stride
};
const int LogSpectrumLength = 1024;
var logSpectrum = GetLogSpectrum(LogSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, configuration);
Assert.AreEqual(8, cutLogarithmizedSpectrum.Count);
double lengthOfOneFingerprint = (double)configuration.ImageLength * configuration.Overlap / SampleRate;
for (int i = 0; i < cutLogarithmizedSpectrum.Count; i++)
{
Assert.IsTrue(
System.Math.Abs(cutLogarithmizedSpectrum[i].Timestamp - (i * lengthOfOneFingerprint)) < Epsilon);
}
}
public void CustomSpectrumValuesOverrideDefaults()
{
var customConfiguration = new CustomSpectrogramConfig
{
ImageLength = 256,
LogBase = 4,
LogBins = 46,
FrequencyRange = new FrequencyRange { Min = 5512, Max = 22050 },
Overlap = 32,
UseDynamicLogBase = true,
WdftSize = 4048
};
Assert.AreEqual(256, customConfiguration.ImageLength);
Assert.AreEqual(4, customConfiguration.LogBase);
Assert.AreEqual(46, customConfiguration.LogBins);
Assert.AreEqual(22050, customConfiguration.FrequencyRange.Max);
Assert.AreEqual(5512, customConfiguration.FrequencyRange.Min);
Assert.AreEqual(32, customConfiguration.Overlap);
Assert.IsTrue(customConfiguration.UseDynamicLogBase);
Assert.AreEqual(4048, customConfiguration.WdftSize);
}
public void GenerateLogFrequenciesRangesTest()
{
var defaultConfig = new CustomSpectrogramConfig {
UseDynamicLogBase = false, LogBase = 10
};
float[] logSpacedFrequencies = new[] // generated in matlab with logspace(2.50242712, 3.3010299957, 33)
{
318.00f, 336.81f, 356.73f, 377.83f, 400.18f, 423.85f, 448.92f, 475.47f, 503.59f, 533.38f, 564.92f,
598.34f, 633.73f, 671.21f, 710.91f, 752.96f, 797.50f, 844.67f, 894.63f, 947.54f, 1003.58f, 1062.94f,
1125.81f, 1192.40f, 1262.93f, 1337.63f, 1416.75f, 1500.54f, 1589.30f, 1683.30f, 1782.86f, 1888.31f,
2000f
};
int[] indexes = logUtility.GenerateLogFrequenciesRanges(defaultFingerprintConfiguration.SampleRate, defaultConfig);
for (int i = 0; i < logSpacedFrequencies.Length; i++)
{
var logSpacedFrequency = logSpacedFrequencies[i];
int index = logUtility.FrequencyToSpectrumIndex(logSpacedFrequency, defaultFingerprintConfiguration.SampleRate, defaultConfig.WdftSize);
Assert.AreEqual(index, indexes[i]);
}
}
public void CustomSpectrumValuesOverrideDefaults()
{
var customConfiguration = new CustomSpectrogramConfig
{
ImageLength = 256,
LogBase = 4,
LogBins = 46,
FrequencyRange = new FrequencyRange {
Min = 5512, Max = 22050
},
Overlap = 32,
UseDynamicLogBase = true,
WdftSize = 4048
};
Assert.AreEqual(256, customConfiguration.ImageLength);
Assert.AreEqual(4, customConfiguration.LogBase);
Assert.AreEqual(46, customConfiguration.LogBins);
Assert.AreEqual(22050, customConfiguration.FrequencyRange.Max);
Assert.AreEqual(5512, customConfiguration.FrequencyRange.Min);
Assert.AreEqual(32, customConfiguration.Overlap);
Assert.IsTrue(customConfiguration.UseDynamicLogBase);
Assert.AreEqual(4048, customConfiguration.WdftSize);
}
public CustomFingerprintConfiguration()
{
SpectrogramConfig = new CustomSpectrogramConfig();
HashingConfig = new CustomHashingConfig();
}
public CustomFingerprintConfiguration()
{
SpectrogramConfig = new CustomSpectrogramConfig();
HashingConfig = new CustomHashingConfig();
}
public void InvalidFingerprintLengthTest()
{
var configuration = new CustomSpectrogramConfig { ImageLength = 0 };
Assert.Fail();
}
public void NegativeOverlapTest()
{
var configuration = new CustomSpectrogramConfig { Overlap = -1 };
Assert.Fail();
}
public void CutLogarithmizedSpectrumWithSpectrumWhichIsLessThanMinimalLengthOfOneFingerprintTest()
{
var stride = new StaticStride(0, 0);
var config = new CustomSpectrogramConfig { Stride = stride };
int logSpectrumLength = config.ImageLength - 1;
var logSpectrum = GetLogSpectrum(logSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, config);
Assert.AreEqual(0, cutLogarithmizedSpectrum.Count);
}
public void CutLogarithmizedSpectrumWithAnIncrementalStaticStride()
{
var stride = new IncrementalStaticStride(new DefaultFingerprintConfiguration().SamplesPerFingerprint / 2, new DefaultFingerprintConfiguration().SamplesPerFingerprint, 0);
var config = new CustomSpectrogramConfig { Stride = stride };
int logSpectrumLength = (config.ImageLength * 24) + config.Overlap;
var logSpectrum = GetLogSpectrum(logSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, config);
Assert.AreEqual(48, cutLogarithmizedSpectrum.Count);
double lengthOfOneFingerprint = (double)config.ImageLength * config.Overlap / SampleRate;
for (int i = 0; i < cutLogarithmizedSpectrum.Count; i++)
{
Assert.IsTrue(System.Math.Abs(cutLogarithmizedSpectrum[i].Timestamp - (i * lengthOfOneFingerprint / 2)) < Epsilon);
}
}
public void CutLogarithmizedSpectrumOfJustOneFingerprintTest()
{
var stride = new StaticStride(0, 0);
var configuration = new CustomSpectrogramConfig { Stride = stride };
int logSpectrumLength = configuration.ImageLength; // 128
var logSpectrum = GetLogSpectrum(logSpectrumLength);
var cutLogarithmizedSpectrum = spectrumService.CutLogarithmizedSpectrum(logSpectrum, SampleRate, configuration);
Assert.AreEqual(1, cutLogarithmizedSpectrum.Count);
}
public void InvalidLogBinsTest()
{
var configuration = new CustomSpectrogramConfig { LogBins = 0 };
Assert.Fail();
}
public void InvalidWdftSizeTest()
{
var configuration = new CustomSpectrogramConfig { WdftSize = -1 };
Assert.Fail();
}
