public void TestAnalyzeSr22050Recording()
{
int sampleRate = 22050;
double duration = 420; // signal duration in seconds = 7 minutes
int[] harmonics = { 500, 1000, 2000, 4000, 8000 };
var recording = DspFilters.GenerateTestRecording(sampleRate, duration, harmonics, WaveType.Cosine);
var recordingPath = this.outputDirectory.CombineFile("TemporaryRecording1.wav");
WavWriter.WriteWavFileViaFfmpeg(recordingPath, recording.WavReader);
// draw the signal as spectrogram just for debugging purposes
/*
* var fst = FreqScaleType.Linear;
* var freqScale = new FrequencyScale(fst);
* var sonoConfig = new SonogramConfig
* {
* WindowSize = 512,
* WindowOverlap = 0.0,
* SourceFName = recording.BaseName,
* NoiseReductionType = NoiseReductionType.Standard,
* NoiseReductionParameter = 2.0,
* };
* var sonogram = new SpectrogramStandard(sonoConfig, recording.WavReader);
* var image = sonogram.GetImageFullyAnnotated(sonogram.GetImage(), "SPECTROGRAM", freqScale.GridLineLocations);
* var outputImagePath = this.outputDirectory.CombineFile("Signal1_LinearFreqScale.png");
* image.Save(outputImagePath.FullName);
*/
var configPath = PathHelper.ResolveConfigFile("Towsey.Acoustic.yml");
var arguments = new AnalyseLongRecording.Arguments
{
Source = recordingPath,
Config = configPath.FullName,
Output = this.outputDirectory,
MixDownToMono = true,
Parallel = !Debugger.IsAttached,
};
AnalyseLongRecording.Execute(arguments);
var resultsDirectory = this.outputDirectory.Combine("Towsey.Acoustic");
var listOfFiles = resultsDirectory.EnumerateFiles().ToArray();
Assert.AreEqual(38, listOfFiles.Length);
var csvCount = listOfFiles.Count(f => f.Name.EndsWith(".csv"));
Assert.AreEqual(15, csvCount);
var jsonCount = listOfFiles.Count(f => f.Name.EndsWith(".json"));
Assert.AreEqual(2, jsonCount);
var pngCount = listOfFiles.Count(f => f.Name.EndsWith(".png"));
Assert.AreEqual(21, pngCount);
var twoMapsImagePath = resultsDirectory.CombineFile("TemporaryRecording1__2Maps.png");
var twoMapsImage = Image.Load <Rgb24>(twoMapsImagePath.FullName);
// image is 7 * 632
Assert.AreEqual(7, twoMapsImage.Width);
Assert.AreEqual(632, twoMapsImage.Height);
var bgnFile = resultsDirectory.CombineFile("TemporaryRecording1__Towsey.Acoustic.BGN.csv");
double[,] actualBgn = Csv.ReadMatrixFromCsv <double>(bgnFile, TwoDimensionalArray.None);
var expectedSpectrumFile = PathHelper.ResolveAsset("LongDuration", "BgnMatrix.LinearScale.csv");
// uncomment the following line when first produce the array
// bgnFile.CopyTo(expectedSpectrumFile.FullName);
// compare actual BGN file with expected file.
var expectedBgn = Csv.ReadMatrixFromCsv <double>(expectedSpectrumFile, TwoDimensionalArray.None);
CollectionAssert.That.AreEqual(expectedBgn, actualBgn, 0.000_000_001);
var array = MatrixTools.GetRow(actualBgn, 0);
Assert.AreEqual(7, expectedBgn.RowLength());
Assert.AreEqual(256, array.Length);
// draw array just to check peaks are in correct places - just for debugging purposes
var ldsBgnSpectrumFile = this.outputDirectory.CombineFile("Spectrum1.png");
GraphsAndCharts.DrawGraph(array, "LD BGN SPECTRUM Linear", ldsBgnSpectrumFile);
var generationData = Json.Deserialize <IndexGenerationData>(IndexGenerationData.FindFile(resultsDirectory.ToDirectoryEntry()));
Assert.AreEqual("TemporaryRecording1", generationData.RecordingBasename);
}
public static Image CreateImageOfSpectralIndices(SpectralIndexValues spectralIndices)
{
string[] keys = { "ACI", "BGN", "CVR", "ENT", "EVN", "PMN", "POW", "RHZ", "RNG", "RPS", "RVT", "R3D", "SPT" };
var images = new List <Image>();
foreach (var key in keys)
{
double[] normalisedIndex = null;
switch (key)
{
case "ACI":
normalisedIndex = DataTools.normalise(spectralIndices.ACI);
break;
case "BGN":
normalisedIndex = DataTools.normalise(spectralIndices.BGN);
break;
case "CVR":
normalisedIndex = DataTools.normalise(spectralIndices.CVR);
break;
case "ENT":
normalisedIndex = DataTools.normalise(spectralIndices.ENT);
break;
case "EVN":
normalisedIndex = DataTools.normalise(spectralIndices.EVN);
break;
case "PMN":
normalisedIndex = DataTools.normalise(spectralIndices.PMN);
break;
case "POW":
normalisedIndex = DataTools.normalise(spectralIndices.POW);
break;
case "RHZ":
normalisedIndex = DataTools.normalise(spectralIndices.RHZ);
break;
case "RNG":
normalisedIndex = DataTools.normalise(spectralIndices.RNG);
break;
case "RPS":
normalisedIndex = DataTools.normalise(spectralIndices.RPS);
break;
case "RVT":
normalisedIndex = DataTools.normalise(spectralIndices.RVT);
break;
case "R3D":
normalisedIndex = DataTools.normalise(spectralIndices.R3D);
break;
case "SPT":
normalisedIndex = DataTools.normalise(spectralIndices.SPT);
break;
default:
break;
}
var image = GraphsAndCharts.DrawGraph(key, normalisedIndex, 100);
images.Add(image);
}
var combinedImage = ImageTools.CombineImagesVertically(images.ToArray());
return(combinedImage);
}
public void TestAnalyzeSr64000Recording()
{
int sampleRate = 64000;
double duration = 420; // signal duration in seconds = 7 minutes
int[] harmonics = { 500, 1000, 2000, 4000, 8000 };
var recording = DspFilters.GenerateTestRecording(sampleRate, duration, harmonics, WaveType.Cosine);
string recordingName = "TemporaryRecording2";
var recordingPath = this.outputDirectory.CombineFile(recordingName + ".wav");
WavWriter.WriteWavFileViaFfmpeg(recordingPath, recording.WavReader);
var fst = FreqScaleType.Linear125Octaves7Tones28Nyquist32000;
var freqScale = new FrequencyScale(fst);
/*
* // draw the signal as spectrogram just for debugging purposes
* // but can only draw a two minute spectrogram when sr=64000 - change duration above.
* duration = 120; // if drawing sonogram, then set signal duration = 2 minutes
* var sonogram = OctaveFreqScale.ConvertRecordingToOctaveScaleSonogram(recording, fst);
* var sonogramImage = sonogram.GetImageFullyAnnotated(sonogram.GetImage(), "SPECTROGRAM", freqScale.GridLineLocations);
* var outputImagePath = this.outputDirectory.CombineFile("SignalSpectrogram_OctaveFreqScale.png");
* sonogramImage.Save(outputImagePath.FullName);
*/
// Now need to rewrite the config file with new parameter settings
var configPath = PathHelper.ResolveConfigFile("Towsey.Acoustic.yml");
// Convert the Config config to IndexCalculateConfig class and merge in the unnecesary parameters.
//Config configuration = Yaml.Deserialise(configPath);
//IndexCalculateConfig config = IndexCalculateConfig.GetConfig(configuration, false);
// because of difficulties in dealing with Config config files, just edit the text file!!!!!
var configLines = File.ReadAllLines(configPath.FullName);
configLines[configLines.IndexOf(x => x.StartsWith("IndexCalculationDuration: "))] = "IndexCalculationDuration: 15.0";
//configLines[configLines.IndexOf(x => x.StartsWith("BgNoiseBuffer: "))] = "BgNoiseBuffer: 5.0";
configLines[configLines.IndexOf(x => x.StartsWith("FrequencyScale: Linear"))] = "FrequencyScale: " + fst;
// the is the only octave scale currently functioning for IndexCalculate class
configLines[configLines.IndexOf(x => x.StartsWith("FrameLength"))] = $"FrameLength: {freqScale.WindowSize}";
configLines[configLines.IndexOf(x => x.StartsWith("ResampleRate: "))] = "ResampleRate: 64000";
// write the edited Config file to temporary output directory
var newConfigPath = this.outputDirectory.CombineFile("Towsey.Acoustic.yml");
File.WriteAllLines(newConfigPath.FullName, configLines);
PathHelper.ResolveConfigFile("IndexPropertiesConfig.yml").CopyTo(this.outputDirectory.CombineFile("IndexPropertiesConfig.yml").FullName);
var arguments = new AnalyseLongRecording.Arguments
{
Source = recordingPath,
Config = newConfigPath.FullName,
Output = this.outputDirectory,
MixDownToMono = true,
Parallel = !Debugger.IsAttached,
};
AnalyseLongRecording.Execute(arguments);
var resultsDirectory = this.outputDirectory.Combine("Towsey.Acoustic");
var listOfFiles = resultsDirectory.EnumerateFiles().ToArray();
Assert.AreEqual(19, listOfFiles.Length);
var csvCount = listOfFiles.Count(f => f.Name.EndsWith(".csv"));
Assert.AreEqual(15, csvCount);
var jsonCount = listOfFiles.Count(f => f.Name.EndsWith(".json"));
Assert.AreEqual(2, jsonCount);
var pngCount = listOfFiles.Count(f => f.Name.EndsWith(".png"));
Assert.AreEqual(2, pngCount);
var bgnFile = resultsDirectory.CombineFile(recordingName + "__Towsey.Acoustic.BGN.csv");
double[,] actualBgn = Csv.ReadMatrixFromCsv <double>(bgnFile, TwoDimensionalArray.None);
var expectedSpectrumFile = PathHelper.ResolveAsset("LongDuration", "BgnMatrix.OctaveScale.csv");
// uncomment the following line when first produce the array
// bgnFile.CopyTo(expectedSpectrumFile.FullName);
// compare actual BGN file with expected file.
var expectedBgn = Csv.ReadMatrixFromCsv <double>(expectedSpectrumFile, TwoDimensionalArray.None);
CollectionAssert.That.AreEqual(expectedBgn, actualBgn, 0.000_000_001);
var array = MatrixTools.GetRow(actualBgn, 0);
Assert.AreEqual(28, actualBgn.RowLength());
Assert.AreEqual(256, array.Length);
// draw array just to check peaks are in correct places - just for debugging purposes
var ldsBgnSpectrumFile = this.outputDirectory.CombineFile("Spectrum2.png");
GraphsAndCharts.DrawGraph(array, "LD BGN SPECTRUM Octave", ldsBgnSpectrumFile);
// ##########################################
// SECOND part of test is to create the LD spectrograms because they are not created when IndexCalcDuration < 60 seconds
// first read in the index generation data
var icdPath = resultsDirectory.CombineFile(recordingName + "__IndexGenerationData.json");
var indexConfigData = Json.Deserialize <IndexGenerationData>(icdPath);
var indexPropertiesConfig = PathHelper.ResolveConfigFile("IndexPropertiesConfig.yml");
var ldSpectrogramConfigFile = PathHelper.ResolveConfigFile("SpectrogramFalseColourConfig.yml");
var ldSpectrogramConfig = LdSpectrogramConfig.ReadYamlToConfig(ldSpectrogramConfigFile);
ldSpectrogramConfig.FreqScale = fst.ToString();
// finally read in the dictionary of spectra
string analysisType = "Towsey.Acoustic";
var keys = LDSpectrogramRGB.GetArrayOfAvailableKeys();
var dictionaryOfSpectra = IndexMatrices.ReadSpectralIndices(resultsDirectory, recordingName, analysisType, keys);
LDSpectrogramRGB.DrawSpectrogramsFromSpectralIndices(
inputDirectory: resultsDirectory,
outputDirectory: resultsDirectory,
ldSpectrogramConfig: ldSpectrogramConfig,
indexPropertiesConfigPath: indexPropertiesConfig,
indexGenerationData: indexConfigData,
basename: recordingName,
analysisType: analysisType,
indexSpectrograms: dictionaryOfSpectra);
// test number of images - should now be 23
listOfFiles = resultsDirectory.EnumerateFiles().ToArray();
pngCount = listOfFiles.Count(f => f.Name.EndsWith(".png"));
Assert.AreEqual(22, pngCount);
var twoMapsImagePath = resultsDirectory.CombineFile(recordingName + "__2Maps.png");
var twoMapsImage = Image.Load <Rgb24>(twoMapsImagePath.FullName);
// image is (7*4) * 652
Assert.AreEqual(28, twoMapsImage.Width);
Assert.AreEqual(652, twoMapsImage.Height);
}