public void CreateFingerprintsTest()
{
float[] samples = TestUtilities.GenerateRandomFloatArray(5512 * 10);
var configuration = new DefaultFingerprintConfiguration();
float[][] logarithmizedSpectrum = new[]
{
TestUtilities.GenerateRandomFloatArray(2048),
TestUtilities.GenerateRandomFloatArray(2048),
TestUtilities.GenerateRandomFloatArray(2048)
};
List <float[][]> dividedLogSpectrum = new List <float[][]>
{
new[] { TestUtilities.GenerateRandomFloatArray(2048) },
new[] { TestUtilities.GenerateRandomFloatArray(2048) },
new[] { TestUtilities.GenerateRandomFloatArray(2048) }
};
spectrumService.Setup(service => service.CreateLogSpectrogram(samples, configuration)).Returns(logarithmizedSpectrum);
spectrumService.Setup(service => service.CutLogarithmizedSpectrum(logarithmizedSpectrum, configuration.Stride, configuration.FingerprintLength, configuration.Overlap))
.Returns(dividedLogSpectrum);
waveletDecomposition.Setup(service => service.DecomposeImagesInPlace(dividedLogSpectrum));
fingerprintDescriptor.Setup(descriptor => descriptor.ExtractTopWavelets(It.IsAny <float[][]>(), configuration.TopWavelets)).Returns(GenericFingerprint);
List <bool[]> rawFingerprints = fingerprintService.CreateFingerprints(samples, configuration);
Assert.AreEqual(3, rawFingerprints.Count);
foreach (bool[] fingerprint in rawFingerprints)
{
Assert.AreEqual(GenericFingerprint, fingerprint);
}
}
public void CreateFingerprints()
{
const int TenSeconds = 5512 * 10;
var samples = TestUtilities.GenerateRandomAudioSamples(TenSeconds);
var fingerprintConfig = new DefaultFingerprintConfiguration();
var dividedLogSpectrum = GetDividedLogSpectrum();
spectrumService.Setup(service => service.CreateLogSpectrogram(samples, It.IsAny <DefaultSpectrogramConfig>())).Returns(dividedLogSpectrum);
waveletDecomposition.Setup(service => service.DecomposeImageInPlace(It.IsAny <float[]>(), 128, 32, fingerprintConfig.HaarWaveletNorm));
fingerprintDescriptor.Setup(descriptor => descriptor.ExtractTopWavelets(It.IsAny <float[]>(), fingerprintConfig.TopWavelets, It.IsAny <ushort[]>())).Returns(new TinyFingerprintSchema(8192).SetTrueAt(0, 1));
localitySensitiveHashingAlgorithm.Setup(service => service.Hash(It.IsAny <Fingerprint>(), fingerprintConfig.HashingConfig, It.IsAny <IEnumerable <string> >()))
.Returns(new HashedFingerprint(new int[0], 1, 0f, Enumerable.Empty <string>()));
var fingerprints = fingerprintService.CreateFingerprints(samples, fingerprintConfig)
.OrderBy(f => f.SequenceNumber)
.ToList();
Assert.AreEqual(dividedLogSpectrum.Count, fingerprints.Count);
}
public void CreateFingerprints()
{
const int TenSeconds = 5512 * 10;
var samples = TestUtilities.GenerateRandomAudioSamples(TenSeconds);
var fingerprintConfig = new DefaultFingerprintConfiguration();
var dividedLogSpectrum = GetDividedLogSpectrum();
spectrumService.Setup(service => service.CreateLogSpectrogram(samples, It.IsAny <DefaultSpectrogramConfig>())).Returns(dividedLogSpectrum);
waveletDecomposition.Setup(service => service.DecomposeImageInPlace(It.IsAny <float[][]>()));
fingerprintDescriptor.Setup(descriptor => descriptor.ExtractTopWavelets(It.IsAny <float[][]>(), fingerprintConfig.TopWavelets))
.Returns(GenericFingerprint);
var fingerprints = fingerprintService.CreateFingerprints(samples, fingerprintConfig);
Assert.AreEqual(dividedLogSpectrum.Count, fingerprints.Count);
for (int index = 0; index < fingerprints.Count; index++)
{
Assert.AreEqual(GenericFingerprint, fingerprints[index].Signature);
Assert.AreEqual(dividedLogSpectrum[index].Timestamp, fingerprints[index].Timestamp, Epsilon);
}
}
public void ShouldRunCorrectlyForSpecificUseCase()
{
int sequenceNumber = 334;
float[] samples = GetAudioSamples().Samples;
int start = sequenceNumber * 1536;
float[] troubledPart = new float[8192 + 2048];
Array.Copy(samples, start, troubledPart, 0, 8192 + 2048);
var audioSamples = new AudioSamples(troubledPart, "test", 5512);
var fingerprintService = new FingerprintService(
new SpectrumService(new LomontFFT(), new LogUtility()),
new LocalitySensitiveHashingAlgorithm(
new MinHashService(new DefaultPermutations()),
new HashConverter()),
new StandardHaarWaveletDecomposition(),
new FingerprintDescriptor());
var fastFingerprintService = new FingerprintService(
new SpectrumService(new LomontFFT(), new LogUtility()),
new LocalitySensitiveHashingAlgorithm(
new MinHashService(new DefaultPermutations()),
new HashConverter()),
new StandardHaarWaveletDecomposition(),
new FastFingerprintDescriptor());
int runs = 10;
for (int i = 0; i < runs; ++i)
{
var x = fingerprintService.CreateFingerprints(audioSamples, new DefaultFingerprintConfiguration());
var y = fastFingerprintService.CreateFingerprints(audioSamples, new DefaultFingerprintConfiguration());
for (int j = 0; j < x.Count; ++j)
{
CollectionAssert.AreEqual(x[j].HashBins, y[j].HashBins);
}
}
}