public void TestAdaptiveSpectrogram()
{
// test variables
var audioSystem = BassProxy.Instance;
// 0. Get Audio Data
float[] audioSamples = BassProxy.ReadMonoFromFile(WAVE_INPUT_FILEPATH, SAMPLING_RATE);
var aspec = new AdaptiveSpectrogram(SAMPLING_RATE);
int blockSize = aspec.GetPreferredBlockSize(); // 2048
int stepSize = aspec.GetPreferredStepSize(); // 1024 = 50% overlap
// print out a normal spectrogram for comparison
double[][] spec1 = FFTUtils.CreateSpectrogramLomont(audioSamples, blockSize, stepSize);
var spec1M = new Matrix(spec1).Transpose();
spec1M.DrawMatrixImage("spec1_normal.png", -1, -1, true, true);
// split the signal into chunks to feed the AdaptiveSpectrogram
var chunks = MathUtils.Split(audioSamples, stepSize, false);
int chunkLength = chunks.Count();
Console.WriteLine("Chunk count: {0}", chunkLength);
int count = 1;
IEnumerable <double[]> spec = new double[0][];
float[] lastChunk = null;
foreach (var chunk in chunks)
{
Console.Write("Processing chunk: {0} \r", count);
if (lastChunk != null)
{
// add two chunks together, because adaptive spectrogram expects 50% overlap
var z = new float[lastChunk.Length + chunk.Count()];
lastChunk.CopyTo(z, 0);
chunk.ToArray().CopyTo(z, chunk.Count());
// process two last chunks as one (e.g. 50% overlap)
var chunkData = aspec.Process(z);
// store in spectrogram
spec = spec.Concat(chunkData);
//var chunkM = new Matrix(chunkData);
//chunkM.WriteCSV("chunkData_" + count + ".csv");
}
lastChunk = chunk.ToArray();
count++;
}
var specM = new Matrix(spec.ToArray()).Transpose();
//specM.WriteCSV("spec_all.csv");
specM.DrawMatrixImage("spec_adaptive.png", -1, -1, true, true);
}
/// <summary>
/// Create log-spectrogram (spaced according to manager's parameters)
/// </summary>
/// <param name = "proxy">Proxy used in generating the spectrogram</param>
/// <param name = "filename">Filename to be processed</param>
/// <param name = "milliseconds">Milliseconds to be analyzed</param>
/// <param name = "startmilliseconds">Starting point</param>
/// <returns>Logarithmically spaced bins within the power spectrum</returns>
public float[][] CreateLogSpectrogram(IWaveformPlayer proxy, string filename, int milliseconds, int startmilliseconds)
{
//read 5512 Hz, Mono, PCM, with a specific proxy
float[] samples = BassProxy.ReadMonoFromFile(filename, SampleRate, milliseconds, startmilliseconds);
//NormalizeInPlace(samples);
int overlap = Overlap;
int fftWindowsSize = WdftSize;
double[] windowArray = FFTWindow.GetWindowFunction(FFTWindowType.HANNING, fftWindowsSize);
int width = (samples.Length - fftWindowsSize) / overlap; /*width of the image*/
float[][] frames = new float[width][];
float[] complexSignal = new float[2 * fftWindowsSize]; /*even - Re, odd - Img*/
for (int i = 0; i < width; i++)
{
//take 371 ms each 11.6 ms (2048 samples each 64 samples)
for (int j = 0; j < fftWindowsSize /*2048*/; j++)
{
// Weight by Hann Window
complexSignal[2 * j] = (float)(windowArray[j] * samples[i * overlap + j]);
//complexSignal[2*j] = (float) (_windowArray[j]*samples[i*overlap + j]); /*Weight by Hann Window*/
complexSignal[2 * j + 1] = 0;
}
//FFT transform for gathering the spectrum
Fourier.FFT(complexSignal, fftWindowsSize, FourierDirection.Forward);
frames[i] = ExtractLogBins(complexSignal);
}
return(frames);
}
public void TestMethod()
{
const double silence = 0.0001;
var wavDataSmall = new float[] { 0.0001f, -0.8f, 0.05f, -0.05f, 0.2f, 0.4f, 1.0f, 0.0001f };
Bitmap png = AudioAnalyzer.DrawWaveformMono(wavDataSmall, new Size(1000, 600), 1, 1, 0, 44100);
string fileName = String.Format("wave-small-dataset-{0}.png", 1);
png.Save(fileName);
// crop
float[] wavDataSmallCropped = AudioUtils.CropAudioAtSilence(wavDataSmall, silence, false, 0);
png = AudioAnalyzer.DrawWaveformMono(wavDataSmallCropped, new Size(1000, 600), 1, 1, 0, 44100);
fileName = String.Format("wave-small-dataset-cropped{0}.png", 1);
png.Save(fileName);
// init audio system
var audioSystem = BassProxy.Instance;
float[] wavDataBig = BassProxy.ReadMonoFromFile(WAVE_INPUT_FILEPATH, 44100, 10, 0);
png = AudioAnalyzer.DrawWaveformMono(wavDataBig, new Size(1000, 600), 2000, 1, 0, 44100);
fileName = String.Format("wave-big-dataset-{0}.png", 1);
png.Save(fileName);
// crop
float[] wavDataBigCropped = AudioUtils.CropAudioAtSilence(wavDataBig, silence, false, 0);
png = AudioAnalyzer.DrawWaveformMono(wavDataBigCropped, new Size(1000, 600), 1, 1, 0, 44100);
fileName = String.Format("wave-big-dataset-cropped{0}.png", 1);
png.Save(fileName);
}
public void TestSpectrogram()
{
// harmor_LQ.bmp = 1645 (width) x 255 (height) 32 bit
// harmor_HQ.bmp = 1645 (width) x 511 (height) 32 bit
// test variables
var audioSystem = BassProxy.Instance;
// 0. Get Audio Data
float[] audioSamples = BassProxy.ReadMonoFromFile(WAVE_INPUT_FILEPATH, SAMPLING_RATE);
/*
* // generate spectrogram
* Bitmap spectroBW = AudioAnalyzer.GetSpectrogramImage(audioSamples, -1, 591, SAMPLING_RATE, WINDOW_SIZE, OVERLAP, ColorUtils.ColorPaletteType.BLACK_AND_WHITE, true);
* spectroBW.Save(@"spectrogram-log-blackwhite.png");
*
* Bitmap spectro = AudioAnalyzer.GetSpectrogramImage(audioSamples, -1, 591, SAMPLING_RATE, WINDOW_SIZE, OVERLAP, ColorUtils.ColorPaletteType.PHOTOSOUNDER, true);
* spectro.Save(@"spectrogram-log-photosounder.png");
*
* Bitmap spectro2 = AudioAnalyzer.GetSpectrogramImage(audioSamples, -1, 591, SAMPLING_RATE, WINDOW_SIZE, OVERLAP, ColorUtils.ColorPaletteType.REW, true);
* spectro2.Save(@"spectrogram-log-rew.png");
*
* Bitmap spectro3 = AudioAnalyzer.GetSpectrogramImage(audioSamples, -1, 591, SAMPLING_RATE, WINDOW_SIZE, OVERLAP, ColorUtils.ColorPaletteType.SOX, true);
* spectro3.Save(@"spectrogram-log-sox.png");
*
* Bitmap spectro4 = AudioAnalyzer.GetSpectrogramImage(audioSamples, -1, 591, SAMPLING_RATE, WINDOW_SIZE, OVERLAP, ColorUtils.ColorPaletteType.MATLAB, true);
* spectro4.Save(@"spectrogram-log-matlab.png");
*/
//double minFrequency = 27.5;
//double maxFrequency = SAMPLING_RATE / 2;
//int logBins = 512;
//var logFrequenciesIndex = new int[1];
//var logFrequencies = new float[1];
// find the time
int wanted_width = 1645;
//int width = (audioSamples.Length - WINDOW_SIZE)/ OVERLAP;
int OVERLAP = (int)((double)(audioSamples.Length - WINDOW_SIZE) / (double)wanted_width);
// int OVERLAP = WINDOW_SIZE/2;
int numberOfSamples = audioSamples.Length;
double seconds = numberOfSamples / SAMPLING_RATE;
float[][] spectrogram = AudioAnalyzer.CreateSpectrogramLomont(audioSamples, WINDOW_SIZE, OVERLAP);
int width = spectrogram.Length + 2 * 60;
int height = spectrogram[0].Length + 2 * 40;
Bitmap bmp1 = AudioAnalyzer.GetSpectrogramImage(spectrogram, width, height, seconds * 1000, SAMPLING_RATE, ColorUtils.ColorPaletteType.BLACK_AND_WHITE, false, null, null);
bmp1.Save(@"spectrogram-blackwhite.png");
Bitmap bmp2 = AudioAnalyzer.GetSpectrogramImage(audioSamples, width, height, SAMPLING_RATE, WINDOW_SIZE, OVERLAP, ColorUtils.ColorPaletteType.BLACK_AND_WHITE, true);
bmp2.Save(@"spectrogram-blackwhite-2.png");
}
/// <summary>
/// Load one file into a specific cell
/// </summary>
/// <param name="file">file info</param>
/// <param name="selectedCell">selectedCell cell</param>
void LoadFileIntoCell(FileInfo file, int selectedCell)
{
if (file.Extension.Equals(".h2p"))
{
var wavetable = Zebra2OSCPreset.Read(file.FullName);
if (wavetable != null)
{
// clear first
ClearAllCells();
// set the data
for (int i = 0; i < wavetable.Length; i++)
{
Array.Copy(wavetable[i], 0, this.soundData[i], 0, 128);
// store the raw waves into the morphed data as this is used to morph between
this.morphedData[i] = this.soundData[i];
// update the wave displays as well
this.waveDisplays[i].WaveData = this.soundData[i];
this.waveDisplays[i].MorphedData = this.morphedData[i];
// TODO: use loaded instead of filename to determine that these are also loaded
this.waveDisplays[i].FileName = file.FullName;
this.waveDisplays[i].Loaded = true;
this.waveDisplays[i].Refresh();
}
}
else
{
throw new FileLoadException("Could not read the u-he Zebra 2 Oscillator preset file.", file.FullName);
}
}
else
{
float[] tempAudioBuffer = BassProxy.ReadMonoFromFile(file.FullName);
float[] tempAudioBuffer2 = MathUtils.Resample(tempAudioBuffer, 128);
Array.Copy(tempAudioBuffer2, 0, this.soundData[selectedCell], 0, 128);
// store the raw waves into the morphed data as this is used to morph between
this.morphedData[selectedCell] = this.soundData[selectedCell];
// update the wave displays as well
this.waveDisplays[selectedCell].WaveData = this.soundData[selectedCell];
this.waveDisplays[selectedCell].MorphedData = this.morphedData[selectedCell];
this.waveDisplays[selectedCell].FileName = file.FullName;
this.waveDisplays[selectedCell].Loaded = true;
this.waveDisplays[selectedCell].Refresh();
}
}
public virtual void SetImportSound(FileInfo file, int selected)
{
float[] tempAudioBuffer = bassProxy.ReadMonoFromFile(file.FullName, 5512);
float[] tempAudioBuffer2 = MathUtils.ReSampleToArbitrary(tempAudioBuffer, 128);
Array.Copy(tempAudioBuffer2, 0, this.soundData[selected], 0, 128);
// TODO: use lomont instead
this.harmonicsData[selected] = Conversions.DFT(this.soundData[selected]);
//this.harmonicsData[selected] = Fourier.DFTTransformer.AbsFFT(this.soundData[selected]);
this.dftData[selected] = Conversions.iDFT(this.harmonicsData[selected]);
//this.dftData[selected] = Fourier.DFTTransformer.IFFT(this.harmonicsData[selected], false, false);
this.waveDisplays[selected].HarmonicsData = this.harmonicsData[selected];
this.waveDisplays[selected].WaveData = this.soundData[selected];
this.waveDisplays[selected].DftData = this.dftData[selected];
this.waveDisplays[selected].Refresh();
}
void Audio2MidiInitialise(string inputFilepath)
{
// init audio system
var audioSystem = BassProxy.Instance;
//float[] wavData = BassProxy.ReadMonoFromFile(inputFilepath, (int) sampleRate, 1000, 0);
float[] wavData = BassProxy.ReadMonoFromFile(inputFilepath, (int)sampleRate);
// calculate number of frames and the duration
frames = MathUtils.RoundAwayFromZero((double)wavData.Length / (double)bufferSize);
audioLength = (double)wavData.Length / (double)sampleRate * 1000;
audio2midi = new Audio2Midi();
audio2midi.IsTrackLoaded = true;
audio2midi.Initialize(sampleRate, audioChannels, audioLength, frames);
ProcessWaveform(audio2midi, wavData);
}
/// <summary>
/// Create spectrogram of the input file
/// </summary>
/// <param name = "proxy">Proxy used to read from file</param>
/// <param name = "filename">Filename</param>
/// <param name = "milliseconds">Milliseconds to process</param>
/// <param name = "startmilliseconds">Starting point of the processing</param>
/// <returns>Spectrogram</returns>
public float[][] CreateSpectrogram(IWaveformPlayer proxy, string filename, int milliseconds, int startmilliseconds, bool doNormalise)
{
//read 5512 Hz, Mono, PCM, with a specific proxy
float[] samples = BassProxy.ReadMonoFromFile(filename, SampleRate, milliseconds, startmilliseconds);
if (doNormalise)
{
NormalizeInPlace(samples);
}
int overlap = Overlap;
int fftWindowsSize = WdftSize; // aka N = FFT Length
double[] windowArray = FFTWindow.GetWindowFunction(FFTWindowType.HANNING, fftWindowsSize);
int width = (samples.Length - fftWindowsSize) / overlap; /*width of the image*/
float[][] frames = new float[width][];
float[] complexSignal = new float[2 * fftWindowsSize]; /*even - Re, odd - Img*/
for (int i = 0; i < width; i++)
{
//take 371 ms each 11.6 ms (2048 samples each 64 samples)
// apply Hanning Window
for (int j = 0; j < fftWindowsSize /*2048*/; j++)
{
// Weight by Hann Window
complexSignal[2 * j] = (float)(windowArray[j] * samples[i * overlap + j]);
//complexSignal[2*j] = (float) ((4.0/(fftWindowsSize - 1)) * windowArray[j]*samples[i*overlap + j]); /*Weight by Hann Window*/
complexSignal[2 * j + 1] = 0; // need to clear out as fft modifies buffer
}
//FFT transform for gathering the spectrum
Fourier.FFT(complexSignal, fftWindowsSize, FourierDirection.Forward);
float[] band = new float[fftWindowsSize / 2 + 1];
for (int j = 0; j < fftWindowsSize / 2 + 1; j++)
{
double re = complexSignal[2 * j];
double img = complexSignal[2 * j + 1];
//double img = 0.0; // TODO: Zero out the imaginary component (phase) ? / need to clear out as fft modifies buffer
band[j] = (float)Math.Sqrt(re * re + img * img);
}
frames[i] = band;
}
return(frames);
}
public void TestMelFrequencyFiltering()
{
var audio = BassProxy.Instance;
//const string fileName = @"Tests\Passacaglia, Handel-Saw-86bmp.wav";
const string fileName = @"Tests\Passacaglia, Handel-Sine-86bmp.wav";
const int sampleRate = 44100;
const int fftWindowsSize = 2048;
const int fftOverlap = 1024;
const bool colorize = true;
const int melFilters = 120;
var monoSignal = BassProxy.ReadMonoFromFile(fileName, sampleRate);
double[][] specNormal = FFTUtils.CreateSpectrogramLomont(monoSignal, fftWindowsSize, fftOverlap);
var specNormalMat = new Matrix(specNormal).Transpose();
specNormalMat.DrawMatrixImage("spec_normal.png", -1, -1, colorize, true);
// Mel Scale Filterbank
// Mel-frequency is proportional to the logarithm of the linear frequency,
// reflecting similar effects in the human's subjective aural perception)
var melFilter = new MelFilter(fftWindowsSize, sampleRate, melFilters, 0);
var specNormalMelMat = melFilter.FilterWeights * specNormalMat;
specNormalMelMat.DrawMatrixImage("spec_normal_mel.png", -1, -1, colorize, true);
melFilter.FilterWeights.WriteCSV("melfilter_orig.csv");
melFilter.FilterWeights.DrawMatrixGraph("melfilter_orig.png");
var melFilterBank = new MelFilterBank(0, sampleRate / 2, melFilters, fftOverlap, sampleRate);
var melFilterBankMat = melFilterBank.Matrix;
melFilterBankMat.WriteCSV("melfilter_new.csv");
melFilterBankMat.DrawMatrixGraph("melfilter_new.png");
var specNormalMelMatNew = melFilterBankMat * specNormalMat;
specNormalMelMatNew.DrawMatrixImage("spec_normal_mel_new.png", -1, -1, colorize, true);
}
public static float[] Decode(string fileIn, int srate, int secondsToAnalyze)
{
DbgTimer t = new DbgTimer();
t.Start();
float[] floatBuffer = null;
// check if file exists
if (fileIn != null && fileIn != "")
{
FileInfo fi = new FileInfo(fileIn);
if (!fi.Exists)
{
Console.Out.WriteLine("No file found {0}!", fileIn);
return(null);
}
}
// Try to use Un4Seen Bass
BassProxy bass = BassProxy.Instance;
double duration = bass.GetDurationInSeconds(fileIn);
if (duration > 0)
{
Dbg.WriteLine("Using BASS to decode the file ...");
// duration in seconds
if (duration > secondsToAnalyze)
{
// find segment to extract
double startSeconds = (duration / 2 - (secondsToAnalyze / 2));
if (startSeconds < 0)
{
startSeconds = 0;
}
floatBuffer = bass.ReadMonoFromFile(fileIn, srate, secondsToAnalyze * 1000, (int)(startSeconds * 1000));
// if this failes, the duration read from the tags was wrong or it is something wrong with the audio file
if (floatBuffer == null)
{
IOUtils.LogMessageToFile(Mir.WARNING_FILES_LOG, fileIn);
}
}
else
{
// return whole file
floatBuffer = bass.ReadMonoFromFile(fileIn, srate, 0, 0);
// if this failes, the duration read from the tags was wrong or it is something wrong with the audio file
if (floatBuffer == null)
{
IOUtils.LogMessageToFile(Mir.WARNING_FILES_LOG, fileIn);
}
}
}
// Bass failed reading or never even tried, so use another alternative
if (floatBuffer == null)
{
Dbg.WriteLine("Using MPlayer and SOX to decode the file ...");
fileIn = Regex.Replace(fileIn, "%20", " ");
floatBuffer = DecodeUsingMplayerAndSox(fileIn, srate, secondsToAnalyze);
}
return(floatBuffer);
}
public void TestFFTAudioMatrixMethod()
{
// harmor_HQ.bmp = 1645 (width) x 511 (height) 32 bit
// test variables
const string outputDirectoryFilePath = "test";
var audioSystem = BassProxy.Instance;
// 0. Get Audio Data
float[] audioSamples = BassProxy.ReadMonoFromFile(WAVE_INPUT_FILEPATH, SAMPLING_RATE);
int width = 1645;
//int width = (audioSamples.Length - WINDOW_SIZE)/ OVERLAP;
int OVERLAP = (int)((double)(audioSamples.Length - WINDOW_SIZE) / (double)width);
// 1. Explode samples to the range of 16 bit shorts (–32,768 to 32,767)
// Matlab multiplies with 2^15 (32768)
// e.g. if( max(abs(speech))<=1 ), speech = speech * 2^15; end;
MathUtils.Multiply(ref audioSamples, AUDIO_MULTIPLIER);
// zero pad if the audio file is too short to perform a fft
if (audioSamples.Length < (WINDOW_SIZE + OVERLAP))
{
int lenNew = WINDOW_SIZE + OVERLAP;
Array.Resize <float>(ref audioSamples, lenNew);
}
// 2. Windowing
// 3. FFT
#region Windowing and FFT
var stft = new STFT(FFTWindowType.HANNING, WINDOW_SIZE, OVERLAP);
var stftdata = stft.Apply(audioSamples);
// same as specgram(audio*32768, 2048, 44100, hanning(2048), 1024);
stftdata.DrawMatrixImageLogValues(outputDirectoryFilePath + "_specgram.png", true, false, -1, -1, false);
var spect2 = FFTUtils.CreateSpectrogramFFTW(audioSamples, WINDOW_SIZE, OVERLAP);
var stftdata2 = new Matrix(spect2).Transpose();
// same as specgram(audio*32768, 2048, 44100, hanning(2048), 1024);
stftdata2.DrawMatrixImageLogValues(outputDirectoryFilePath + "_specgram2.png", true, false, -1, -1, false);
var spect3 = FFTUtils.CreateSpectrogramLomont(audioSamples, WINDOW_SIZE, OVERLAP);
var stftdata3 = new Matrix(spect3).Transpose();
// same as specgram(audio*32768, 2048, 44100, hanning(2048), 1024);
stftdata3.DrawMatrixImageLogValues(outputDirectoryFilePath + "_specgram3.png", true, false, -1, -1, false);
#endregion
// the matrix are too different so comparing them always fails!
//Assert.That(stftdata2, Is.EqualTo(stftdata3).AsCollection.Within(0.001), "fail at [0]");
#region Inverse FFT
// Perform inverse stft as well
double[] audiodata_inverse_stft = stft.InverseStft(stftdata);
// divide or normalize
//MathUtils.Divide(ref audiodata_inverse_stft, AUDIO_MULTIPLIER);
MathUtils.Normalize(ref audiodata_inverse_stft);
Export.DrawGraph(audiodata_inverse_stft, outputDirectoryFilePath + "_audiodata_inverse_stft.png");
float[] audiodata_inverse_float = MathUtils.DoubleToFloat(audiodata_inverse_stft);
BassProxy.SaveFile(audiodata_inverse_float, outputDirectoryFilePath + "_inverse_stft.wav", 1, SAMPLING_RATE, 32);
#endregion
Assert.Pass("This test was succesful.");
}
public static void Main(string[] args)
{
/*
* int nFFT = 1024;
* int samplerate = 44100;
* int length = samplerate * 10; // 10 sec
*
* double freq1, freq2;
* int i1, i2;
* for (int i = 0; i < nFFT + 1; i++) {
* freq1 = MathUtils.Index2Freq(i, samplerate, nFFT);
* freq2 = MathUtils.IndexToFreq(i, samplerate, nFFT);
* i1 = MathUtils.Freq2Index(freq1, samplerate, nFFT);
* i2 = MathUtils.FreqToIndex((float)freq2, samplerate, nFFT);
* }
*/
/*
* List<Color> rew_hsb_gradients = ColorUtils.GetHSBColorGradients(256, ColorUtils.ColorPaletteType.REW);
* ColorUtils.SaveColorGradients("rew-hsb-gradients.png", rew_hsb_gradients, 40);
* List<Color> rew_hsl_gradients = ColorUtils.GetHSLColorGradients(256, ColorUtils.ColorPaletteType.REW);
* ColorUtils.SaveColorGradients("rew-hsl-gradients.png", rew_hsl_gradients, 40);
*
* List<Color> sox_hsb_gradients = ColorUtils.GetHSBColorGradients(256, ColorUtils.ColorPaletteType.SOX);
* ColorUtils.SaveColorGradients("sox-hsb-gradients.png", sox_hsb_gradients, 40);
* List<Color> sox_hsl_gradients = ColorUtils.GetHSLColorGradients(256, ColorUtils.ColorPaletteType.SOX);
* ColorUtils.SaveColorGradients("sox-hsl-gradients.png", sox_hsl_gradients, 40);
*
* List<Color> photosounder_hsb_gradients = ColorUtils.GetHSBColorGradients(256, ColorUtils.ColorPaletteType.PHOTOSOUNDER);
* ColorUtils.SaveColorGradients("photosounder_hsb_gradients.png", photosounder_hsb_gradients, 40);
* List<Color> photosounder_hsl_gradients = ColorUtils.GetHSLColorGradients(256, ColorUtils.ColorPaletteType.PHOTOSOUNDER);
* ColorUtils.SaveColorGradients("photosounder_hsl_gradients.png", photosounder_hsl_gradients, 40);
* List<Color> photosounder_rgb_gradients = ColorUtils.GetRGBColorGradients(255, ColorUtils.ColorPaletteType.PHOTOSOUNDER);
* ColorUtils.SaveColorGradients("photosounder_rgb_gradients.png", photosounder_rgb_gradients, 40);
*
* List<Color> grey_hsb_gradients = ColorUtils.GetHSBColorGradients(256, ColorUtils.ColorPaletteType.BLACK_AND_WHITE);
* ColorUtils.SaveColorGradients("grey-hsb-gradients.png", grey_hsb_gradients, 40);
*
* ReadColorPaletteBar(@"C:\Users\perivar.nerseth\OneDrive\Temp\sox_colorbar.png", "sox_colorbar.csv");
* ReadColorPaletteBar(@"C:\Users\perivar.nerseth\OneDrive\Temp\soundforge_colorbar.png", "soundforge_colorbar.csv");
* ReadColorPaletteBar(@"C:\Users\perivar.nerseth\OneDrive\Temp\rew_colorbar.png", "rew_colorbar.csv");
* ReadColorPaletteBar(@"C:\Users\perivar.nerseth\OneDrive\Temp\sox_colorbar.png", "sox_colorbar.csv");
* ReadColorPaletteBar(@"C:\Users\perivar.nerseth\OneDrive\Temp\thermal_colorbar.png", "thermal_colorbar.csv");
*/
Console.WriteLine("Analyzer starting ...");
int sampleRate = 44100; // 44100, default 5512
int fftWindowsSize = 16384; //32768 16384 8192 4096 2048, default 256*8 (2048) to 256*128 (32768), reccomended: 256*64 = 16384
int fftOverlap = fftWindowsSize / 2; // 32768:990, 16384:990, 8192:990, 4096:990
float fftOverlapPercentage = 94.0f; // 99.0f number between 0 and 100
string fileName = @"C:\Users\perivar.nerseth\Documents\My Projects\AudioVSTToolbox\ARSSCSharp\Ariana Grande 32bit.wav";
var bass = BassProxy.Instance;
float[] wavDataBass = BassProxy.ReadMonoFromFile(fileName, sampleRate);
//MathUtils.NormalizeInPlace(wavDataBass);
//Export.ExportCSV(@"c:\BassAudio.csv", wavDataBass);
// VB6
//var vb6Spect = new VB6Spectrogram();
//vb6Spect.ComputeColorPalette();
//float[][] vb6Spectrogram = vb6Spect.Compute(wavDataBass, sampleRate, fftWindowsSize, fftOverlapPercentage);
//Export.ExportCSV (@"VB6_spectrogram-full.csv", vb6Spectrogram);
// Exocortex.DSP FFT
/*
* int numberOfSamples = wavDataNaudio.Length;
* fftOverlapPercentage = fftOverlapPercentage / 100;
* long ColSampleWidth = (long)(fftWindowsSize * (1 - fftOverlapPercentage));
* double fftOverlapSamples = fftWindowsSize * fftOverlapPercentage;
* long NumCols = numberOfSamples / ColSampleWidth;
*
* int fftOverlap = (int)((numberOfSamples - fftWindowsSize) / NumCols);
* int numberOfSegments = (numberOfSamples - fftWindowsSize)/fftOverlap;
*/
//System.Console.Out.WriteLine(String.Format("EXO: fftWindowsSize: {0}, Overlap samples: {1:n2}.", fftWindowsSize, fftOverlap ));
//VIPSLib.Audio.WAVFile wavefile = new VIPSLib.Audio.WAVFile();
//wavefile.ReadFromFileToDouble(fileName.Substring(0, fileName.LastIndexOf(".")) + ".wav");
//RiffRead riff = new RiffRead(fileName.Substring(0, fileName.LastIndexOf(".")) + ".wav");
//riff.Process();
/*
* VIPSLib.Audio.MFCC mfcclib = new VIPSLib.Audio.MFCC((float)sampleRate);
* double[][] data = riff.SoundData;
* double min;
* double max;
* MathUtils.ComputeMinAndMax(data, out min, out max);
* double[][] mfcc = mfcclib.Process(MathUtils.FloatToDouble(wavDataVB6));
*
* float fmin;
* float fmax;
* MathUtils.ComputeMinAndMax(wavDataVB6, out fmin, out fmax);
*/
//double[][] mfcc = mfcclib.Process(riff.SoundData[0]);
//float[][] mfccFloats = MathUtils.DoubleToFloat(mfcc);
// GENERATE SPECTROGRAM
Bitmap spectro = AudioAnalyzer.GetSpectrogramImage(wavDataBass, 1200, 600, sampleRate, fftWindowsSize, fftOverlap, ColorUtils.ColorPaletteType.PHOTOSOUNDER, true);
spectro.Save(@"spectrogram-log-photosounder.png");
Bitmap spectro2 = AudioAnalyzer.GetSpectrogramImage(wavDataBass, 1200, 600, sampleRate, fftWindowsSize, fftOverlap, ColorUtils.ColorPaletteType.REW, true);
spectro2.Save(@"spectrogram-log-rew.png");
Bitmap spectro3 = AudioAnalyzer.GetSpectrogramImage(wavDataBass, 1200, 600, sampleRate, fftWindowsSize, fftOverlap, ColorUtils.ColorPaletteType.SOX, true);
spectro3.Save(@"spectrogram-log-sox.png");
//float[][] data = AudioAnalyzer.CreateSpectrogramLomont(wavDataBass, fftWindowsSize, fftOverlap);
//Bitmap image = AudioAnalyzer.GetSpectrogramImage(data, 1200, 600);
//image.Save(@"spectrogram.jpg", ImageFormat.Jpeg);
//float[][] logSpectrogram = manager.CreateLogSpectrogram(repositoryGateway._proxy, fileName, secondsToSample*1000, 0);
//Bitmap logspectro = AudioAnalyzer.GetSpectrogramImage(logSpectrogram, 1200, 600, secondsToSample*1000, sampleRate, ColorUtils.ColorPaletteType.REW);
//logspectro.Save(@"c:\spectrogram-log.png");
//Bitmap waveform = AudioAnalyzer.DrawWaveform(wavDataVB6, new Size (1200, 600), 0, 1, 0, sampleRate);
//waveform.Save(@"c:\waveform.png");
//Bitmap waveform = AudioAnalyzer.DrawWaveform(wavDataNaudio, 1200, 600);
//waveform.Save(@"c:\waveform.png");
Console.Write("Press any key to continue . . . ");
Console.ReadKey(true);
}
static void SplitIntoSingleCycleWaveforms(string baseDirectory, string wavPath, int singleCycleLength, Dictionary <string, MassiveMapElement> map, string outputDirectory, float[] sineData)
{
// use path after the base dir as map key
string mapKey = IOUtils.GetRightPartOfPath(wavPath, baseDirectory + Path.DirectorySeparatorChar);
#region Output Correct Filenames
// determine correct filename
if (map.ContainsKey(mapKey))
{
var mapElement = map[mapKey];
if (!mapElement.GroupName.Equals("") &&
!mapElement.CorrectFileName.Equals(""))
{
// create single cycle directory
string singleCycleDirectory = Path.Combine(outputDirectory, "Single Cycle Waveforms", StringUtils.MakeValidFileName(mapElement.GroupName));
if (!Directory.Exists(singleCycleDirectory))
{
Directory.CreateDirectory(singleCycleDirectory);
}
// create preset file directory
string presetFileDirectory = Path.Combine(outputDirectory, "Zebra2 Osc Presets", StringUtils.MakeValidFileName(mapElement.GroupName));
if (!Directory.Exists(presetFileDirectory))
{
Directory.CreateDirectory(presetFileDirectory);
}
// read audio data as mono
int sampleRate = -1;
int bitsPerSample = -1;
long byteLength = -1;
float[] audioData = BassProxy.ReadMonoFromFile(wavPath, out sampleRate, out bitsPerSample, out byteLength, BassProxy.MonoSummingType.Mix);
// temporary storage for the 128 single cycle samples
var waveforms = new List <float[]>();
int cycleCount = 1;
// find each single cycle waveforms
for (int i = 0; i < audioData.Length; i += singleCycleLength)
{
var singleCycleData = new float[singleCycleLength];
Array.Copy(audioData, i, singleCycleData, 0, singleCycleLength);
// output the corrected filenames
string newFileName = string.Format("{0}_{1}_{2}.wav", mapElement.GroupIndex, mapElement.CorrectFileName, cycleCount);
string newFilePath = Path.Combine(singleCycleDirectory, newFileName);
Console.Out.WriteLine("Creating file {0}.", newFilePath);
BassProxy.SaveFile(singleCycleData, newFilePath, 1, sampleRate, bitsPerSample);
// resample to 128 samples for u-he zebra conversion
float[] singeCycle128 = MathUtils.Resample(singleCycleData, 128);
// zebra only supports 16 slots
if (cycleCount < 17)
{
waveforms.Add(singeCycle128);
}
else
{
Console.Out.WriteLine("Zebra only support 16 waves in it's wavetables.");
break;
}
cycleCount++;
}
#region Save a non-morphed and a morphed version of the zebra preset
// single cycle waveform array for non-morphed data
float[][] soundData = MathUtils.CreateJaggedArray <float[][]>(16, 128);
// single cycle waveform arrays for morphed daya
float[][] morphData = MathUtils.CreateJaggedArray <float[][]>(16, 128);
// distribute the waves found evenly within the 16 available slots
var evenDistribution = MathUtils.GetEvenDistributionPreferEdges(waveforms.Count, 16);
var indices = MathUtils.IndexOf(evenDistribution, 1);
if (waveforms.Count() == 1)
{
// set sine data to last element (for morphing later)
Array.Copy(sineData, 0, morphData[15], 0, 128);
}
if (indices.Count() == waveforms.Count())
{
var enabledMorphSlots = new bool[16];
var enabledSoundSlots = new bool[16];
for (int i = 0; i < waveforms.Count; i++)
{
// add the waves successively to the normal sound data
Array.Copy(waveforms[i], 0, soundData[i], 0, 128);
enabledSoundSlots[i] = true;
// spread out the waves to later be morphed
int index = indices[i];
Array.Copy(waveforms[i], 0, morphData[index], 0, 128);
enabledMorphSlots[index] = true; // before morphing this is used to tell what slots are loaded
}
// morph between the added waveforms (slots)
Zebra2OSCPreset.MorphAllSegments(enabledMorphSlots, ref morphData);
// before writing the file ensure all of the morhp slots are enabled
for (int j = 0; j < 16; j++)
{
enabledMorphSlots[j] = true;
}
// save the non-morphed u-he zebra preset
string zebraPreset = string.Format("{0}_{1}.h2p", mapElement.GroupIndex, mapElement.CorrectFileName);
string zebraPresetFilePath = Path.Combine(presetFileDirectory, zebraPreset);
Zebra2OSCPreset.Write(soundData, enabledSoundSlots, zebraPresetFilePath);
// save the morphed u-he zebra preset
string zebraMorphPreset = string.Format("{0}_{1}_Morph.h2p", mapElement.GroupIndex, mapElement.CorrectFileName);
string zebraMorphPresetFilePath = Path.Combine(presetFileDirectory, zebraMorphPreset);
Zebra2OSCPreset.Write(morphData, enabledMorphSlots, zebraMorphPresetFilePath);
#endregion
}
else
{
// this should never happen
Console.Out.WriteLine("Failed! Could not set wavetables correctly.");
}
}
}
#endregion
}
