public void Test2UpwardsTrackAlgorithm()
{
// Set up the recognizer parameters.
var parameters = new UpwardTrackParameters()
{
MinHertz = 500,
MaxHertz = 6000,
MinBandwidthHertz = 200,
MaxBandwidthHertz = 5000,
DecibelThreshold = 2.0,
CombineProximalSimilarEvents = false,
SyllableStartDifference = TimeSpan.FromSeconds(0.2),
SyllableHertzDifference = 300,
};
//Set up the virtual recording.
var segmentStartOffset = TimeSpan.Zero;
int samplerate = 22050;
double signalDuration = 13.0; //seconds
// set up the config for a virtual spectrogram.
var sonoConfig = new SonogramConfig()
{
WindowSize = 512,
WindowStep = 512,
WindowOverlap = 0.0, // this must be set
WindowFunction = WindowFunctions.HANNING.ToString(),
NoiseReductionType = NoiseReductionType.Standard,
NoiseReductionParameter = 0.0,
Duration = TimeSpan.FromSeconds(signalDuration),
SampleRate = samplerate,
};
var spectrogram = this.CreateArtificialSpectrogramToTestTracksAndHarmonics(sonoConfig);
var plots = new List <Plot>();
// do a SECOND TEST of the vertical tracks
var(spectralEvents, dBArray) = UpwardTrackAlgorithm.GetUpwardTracks(
spectrogram,
parameters,
segmentStartOffset);
// draw a plot of max decibels in each frame
double decibelNormalizationMax = 5 * parameters.DecibelThreshold.Value;
var dBThreshold = parameters.DecibelThreshold.Value / decibelNormalizationMax;
var normalisedDecibelArray = DataTools.NormaliseInZeroOne(dBArray, 0, decibelNormalizationMax);
var plot2 = new Plot("decibel max", normalisedDecibelArray, dBThreshold);
plots.Add(plot2);
var allResults2 = new RecognizerResults()
{
NewEvents = new List <EventCommon>(),
Hits = null,
ScoreTrack = null,
Plots = new List <Plot>(),
Sonogram = null,
};
// combine the results i.e. add the events list of call events.
allResults2.NewEvents.AddRange(spectralEvents);
allResults2.Plots.AddRange(plots);
allResults2.Sonogram = spectrogram;
// DEBUG PURPOSES ONLY - COMMENT NEXT LINE
this.SaveTestOutput(
outputDirectory => GenericRecognizer.SaveDebugSpectrogram(allResults2, null, outputDirectory, "UpwardTracks2"));
Assert.AreEqual(10, allResults2.NewEvents.Count);
}
public void Test1UpwardsTrackAlgorithm()
{
// Set up the recognizer parameters.
var parameters = new UpwardTrackParameters()
{
MinHertz = 6000,
MaxHertz = 11000,
MinBandwidthHertz = 100,
MaxBandwidthHertz = 5000,
DecibelThreshold = 2.0,
CombineProximalSimilarEvents = true,
SyllableStartDifference = TimeSpan.FromSeconds(0.2),
SyllableHertzDifference = 300,
};
//Set up the virtual recording.
int samplerate = 22050;
double signalDuration = 13.0; //seconds
// set up the config for a virtual spectrogram.
var sonoConfig = new SonogramConfig()
{
WindowSize = 512,
WindowStep = 512,
WindowOverlap = 0.0, // this must be set
WindowFunction = WindowFunctions.HANNING.ToString(),
NoiseReductionType = NoiseReductionType.Standard,
NoiseReductionParameter = 0.0,
Duration = TimeSpan.FromSeconds(signalDuration),
SampleRate = samplerate,
};
var spectrogram = this.CreateArtificialSpectrogramToTestTracksAndHarmonics(sonoConfig);
//var image1 = SpectrogramTools.GetSonogramPlusCharts(spectrogram, null, null, null);
//results.Sonogram.GetImage().Save(this.outputDirectory + "\\debug.png");
var segmentStartOffset = TimeSpan.Zero;
var plots = new List <Plot>();
var(spectralEvents, dBArray) = UpwardTrackAlgorithm.GetUpwardTracks(
spectrogram,
parameters,
segmentStartOffset);
// draw a plot of max decibels in each frame
double decibelNormalizationMax = 5 * parameters.DecibelThreshold.Value;
var dBThreshold = parameters.DecibelThreshold.Value / decibelNormalizationMax;
var normalisedDecibelArray = DataTools.NormaliseInZeroOne(dBArray, 0, decibelNormalizationMax);
var plot1 = new Plot("decibel max", normalisedDecibelArray, dBThreshold);
plots.Add(plot1);
var allResults = new RecognizerResults()
{
NewEvents = new List <EventCommon>(),
Hits = null,
ScoreTrack = null,
Plots = new List <Plot>(),
Sonogram = null,
};
// combine the results i.e. add the events list of call events.
allResults.NewEvents.AddRange(spectralEvents);
allResults.Plots.AddRange(plots);
// effectively keeps only the *last* sonogram produced
allResults.Sonogram = spectrogram;
// DEBUG PURPOSES ONLY - COMMENT NEXT LINE
this.SaveTestOutput(
outputDirectory => GenericRecognizer.SaveDebugSpectrogram(allResults, null, outputDirectory, "UpwardsTrack1"));
Assert.AreEqual(2, allResults.NewEvents.Count);
var @event = (SpectralEvent)allResults.NewEvents[0];
Assert.AreEqual(10.0, @event.EventStartSeconds, 0.1);
Assert.AreEqual(10.1, @event.EventEndSeconds, 0.1);
Assert.AreEqual(6450, @event.LowFrequencyHertz);
Assert.AreEqual(10750, @event.HighFrequencyHertz);
@event = (SpectralEvent)allResults.NewEvents[1];
Assert.AreEqual(11.0, @event.EventStartSeconds, 0.1);
Assert.AreEqual(11.24, @event.EventEndSeconds, 0.1);
Assert.AreEqual(6450, @event.LowFrequencyHertz);
Assert.AreEqual(7310, @event.HighFrequencyHertz);
}
