public IQueryCommand WithConfigs(IFingerprintConfiguration fingerprintConfiguration, IQueryConfiguration configuration)
{
QueryConfiguration = configuration;
FingerprintConfiguration = fingerprintConfiguration;
createFingerprintMethod = () => fingerprintingMethodFromSelector().WithFingerprintConfig(fingerprintConfiguration);
return(this);
}
public IFingerprintCommand WithFingerprintConfig(Action <CustomFingerprintConfiguration> functor)
{
CustomFingerprintConfiguration customFingerprintConfiguration = new CustomFingerprintConfiguration();
FingerprintConfiguration = customFingerprintConfiguration;
functor(customFingerprintConfiguration);
return(this);
}
public IUsingFingerprintServices WithFingerprintConfig(Action <CustomFingerprintConfiguration> functor)
{
CustomFingerprintConfiguration customFingerprintConfiguration = new CustomFingerprintConfiguration();
FingerprintConfiguration = customFingerprintConfiguration;
functor(customFingerprintConfiguration);
return(this);
}
public int[] GenerateLogFrequenciesRanges(IFingerprintConfiguration configuration)
{
if (configuration.UseDynamicLogBase)
{
return GenerateLogFrequenciesDynamicBase(configuration);
}
return GenerateStaticLogFrequencies(configuration);
}
public int[] GenerateLogFrequenciesRanges(IFingerprintConfiguration configuration)
{
if (configuration.UseDynamicLogBase)
{
return(GenerateLogFrequenciesDynamicBase(configuration));
}
return(GenerateStaticLogFrequencies(configuration));
}
public List<bool[]> CreateFingerprints(float[] samples, IFingerprintConfiguration fingerprintConfiguration)
{
float[][] spectrum = spectrumService.CreateLogSpectrogram(samples, fingerprintConfiguration);
return CreateFingerprintsFromLogSpectrum(
spectrum,
fingerprintConfiguration.Stride,
fingerprintConfiguration.FingerprintLength,
fingerprintConfiguration.Overlap,
fingerprintConfiguration.TopWavelets);
}
public List <bool[]> CreateFingerprints(float[] samples, IFingerprintConfiguration fingerprintConfiguration)
{
float[][] spectrum = spectrumService.CreateLogSpectrogram(samples, fingerprintConfiguration);
return(CreateFingerprintsFromLogSpectrum(
spectrum,
fingerprintConfiguration.Stride,
fingerprintConfiguration.FingerprintLength,
fingerprintConfiguration.Overlap,
fingerprintConfiguration.TopWavelets));
}
private int[] GenerateLogFrequenciesDynamicBase(IFingerprintConfiguration configuration)
{
double logBase = Math.Exp(Math.Log((float)configuration.MaxFrequency / configuration.MinFrequency) / configuration.LogBins);
double mincoef = (float)configuration.WdftSize / configuration.SampleRate * configuration.MinFrequency;
int[] indexes = new int[configuration.LogBins + 1];
for (int j = 0; j < configuration.LogBins + 1; j++)
{
int start = (int)((Math.Pow(logBase, j) - 1.0) * mincoef);
indexes[j] = start + (int)mincoef;
}
return indexes;
}
private int[] GenerateLogFrequenciesDynamicBase(IFingerprintConfiguration configuration)
{
double logBase = Math.Exp(Math.Log((float)configuration.MaxFrequency / configuration.MinFrequency) / configuration.LogBins);
double mincoef = (float)configuration.WdftSize / configuration.SampleRate * configuration.MinFrequency;
int[] indexes = new int[configuration.LogBins + 1];
for (int j = 0; j < configuration.LogBins + 1; j++)
{
int start = (int)((Math.Pow(logBase, j) - 1.0) * mincoef);
indexes[j] = start + (int)mincoef;
}
return(indexes);
}
public WinDrawningTool(
IAudioService audioService,
IFingerprintCommandBuilder fingerprintCommandBuilder,
ISpectrumService spectrumService)
{
this.audioService = audioService;
this.fingerprintCommandBuilder = fingerprintCommandBuilder;
fingerprintConfiguration = new DefaultFingerprintConfiguration();
imageService = new ImageService(spectrumService, new StandardHaarWaveletDecomposition());
this.spectrumService = spectrumService;
InitializeComponent();
Icon = Resources.Sound;
_lbImageTypes.Items.Add("Single file");
_lbImageTypes.Items.Add("Separated images");
}
public WinDrawningTool(
IAudioService audioService,
IFingerprintCommandBuilder fingerprintCommandBuilder,
ISpectrumService spectrumService)
{
this.audioService = audioService;
this.fingerprintCommandBuilder = fingerprintCommandBuilder;
fingerprintConfiguration = new DefaultFingerprintConfiguration();
imageService = new ImageService(spectrumService, new StandardHaarWaveletDecomposition());
this.spectrumService = spectrumService;
InitializeComponent();
Icon = Resources.Sound;
_lbImageTypes.Items.Add("Single file");
_lbImageTypes.Items.Add("Separated images");
}
public float[][] CreateLogSpectrogram(float[] samples, IFingerprintConfiguration configuration)
{
if (configuration.NormalizeSignal)
{
audioSamplesNormalizer.NormalizeInPlace(samples);
}
int width = (samples.Length - configuration.WdftSize) / configuration.Overlap; /*width of the image*/
float[][] frames = new float[width][];
int[] logFrequenciesIndexes = logUtility.GenerateLogFrequenciesRanges(configuration);
for (int i = 0; i < width; i++)
{
float[] complexSignal = fftService.FFTForward(samples, i * configuration.Overlap, configuration.WdftSize);
frames[i] = ExtractLogBins(complexSignal, logFrequenciesIndexes, configuration.LogBins);
}
return frames;
}
public float[][] CreateLogSpectrogram(float[] samples, IFingerprintConfiguration configuration)
{
if (configuration.NormalizeSignal)
{
audioSamplesNormalizer.NormalizeInPlace(samples);
}
int width = (samples.Length - configuration.WdftSize) / configuration.Overlap; /*width of the image*/
float[][] frames = new float[width][];
int[] logFrequenciesIndexes = logUtility.GenerateLogFrequenciesRanges(configuration);
for (int i = 0; i < width; i++)
{
float[] complexSignal = fftService.FFTForward(samples, i * configuration.Overlap, configuration.WdftSize);
frames[i] = ExtractLogBins(complexSignal, logFrequenciesIndexes, configuration.LogBins);
}
return(frames);
}
private int[] GenerateStaticLogFrequencies(IFingerprintConfiguration configuration)
{
double logMin = Math.Log(configuration.MinFrequency, configuration.LogBase);
double logMax = Math.Log(configuration.MaxFrequency, configuration.LogBase);
double delta = (logMax - logMin) / configuration.LogBins;
int[] indexes = new int[configuration.LogBins + 1];
double accDelta = 0;
for (int i = 0; i <= configuration.LogBins; ++i)
{
float freq = (float)Math.Pow(configuration.LogBase, logMin + accDelta);
accDelta += delta;
indexes[i] = FrequencyToSpectrumIndex(freq, configuration.SampleRate, configuration.WdftSize); // Find the start index in array from which to start the summation
}
return indexes;
}
public WinDrawningTool(
IAudioService audioService,
IFingerprintCommandBuilder fingerprintCommandBuilder,
IFingerprintConfiguration fingerprintConfiguration,
IImageService imageService,
ISpectrumService spectrumService)
{
this.audioService = audioService;
this.fingerprintCommandBuilder = fingerprintCommandBuilder;
this.fingerprintConfiguration = fingerprintConfiguration;
this.imageService = imageService;
this.spectrumService = spectrumService;
InitializeComponent();
Icon = Resources.Sound;
_lbImageTypes.Items.Add("Single file");
_lbImageTypes.Items.Add("Separated images");
}
private int[] GenerateStaticLogFrequencies(IFingerprintConfiguration configuration)
{
double logMin = Math.Log(configuration.MinFrequency, configuration.LogBase);
double logMax = Math.Log(configuration.MaxFrequency, configuration.LogBase);
double delta = (logMax - logMin) / configuration.LogBins;
int[] indexes = new int[configuration.LogBins + 1];
double accDelta = 0;
for (int i = 0; i <= configuration.LogBins; ++i)
{
float freq = (float)Math.Pow(configuration.LogBase, logMin + accDelta);
accDelta += delta;
indexes[i] = FrequencyToSpectrumIndex(freq, configuration.SampleRate, configuration.WdftSize); // Find the start index in array from which to start the summation
}
return(indexes);
}
public IFingerprintCommand WithDefaultFingerprintConfig()
{
FingerprintConfiguration = new DefaultFingerprintConfiguration();
return(this);
}
public IFingerprintCommand WithFingerprintConfig(IFingerprintConfiguration configuration)
{
FingerprintConfiguration = configuration;
return(this);
}
public IFingerprintCommand WithFingerprintConfig <T>() where T : IFingerprintConfiguration, new()
{
FingerprintConfiguration = new T();
return(this);
}
public IUsingFingerprintServices WithFingerprintConfig <T>() where T : IFingerprintConfiguration, new()
{
FingerprintConfiguration = new T();
return(this);
}
public IUsingFingerprintServices WithFingerprintConfig(IFingerprintConfiguration configuration)
{
FingerprintConfiguration = configuration;
return(this);
}
public IUsingFingerprintServices WithDefaultFingerprintConfig()
{
FingerprintConfiguration = new DefaultFingerprintConfiguration();
return(this);
}
public IUsingQueryServices WithConfigs(IFingerprintConfiguration fingerprintConfiguration, IQueryConfiguration configuration)
{
QueryConfiguration = configuration;
FingerprintConfiguration = fingerprintConfiguration;
return(this);
}
