static void Test8()
{
MusicPlayer player = new MusicPlayer();
Console.WriteLine("Hidden Markov Model");
var m1 = GetMelodySequence(@"test\other\frere.mid");
var m2 = GetMelodySequence(@"test\other\babaa.mid");
var m3 = GetMelodySequence(@"test\other\twinkle.mid");
var m4 = GetMelodySequence(@"test\hagrid.mid");
var m5 = GetMelodySequence(@"test\harry.mid");
var m6 = GetMelodySequence(@"test\harry2.mid");
MarkovGenerator markov = new MarkovGenerator(new MelodySequence[] { m6 });
while (true)
{
Composition comp = new Composition();
GeneticGenerator gen = new GeneticGenerator(new MetricSimilarity(m6, new IMetric[] { new Rhythm(), new RhythmicBigram(), new RhythmicInterval() }));
var notes2 = gen.Generate();
Track t2 = new Track((PatchNames)0, 10);
MelodySequence s = new MelodySequence();
s.AddPause((int)Durations.wn * 10);
foreach (Note n in notes2.Notes)
{
if (n.Pitch <= 0)
n.Pitch = 0;
else if (n.Pitch > 48)
n.Pitch = 40;
else if (n.Pitch > 70)
n.Pitch = 35;
else
{
n.Pitch = 49;
n.Duration *= 4;
n.Velocity = 50;
s.AddPause(n.Duration * 2);
}
s.AddNote(n);
}
t2.AddSequence(s);
var notes3 = markov.Generate().Notes as Note[];
MelodySequence baseseq = new MelodySequence();
int max_dur = 0;
int max_index = 0;
for (int i = (int)(notes3.Length * 0.7f); i < notes3.Length; i++)
{
if (notes3[i].Duration > max_dur)
{
max_dur = notes3[i].Duration;
max_index = i;
}
}
Note last_note = null;
for (int i = 0; i < max_index; i++)
{
last_note = notes3[i];
baseseq.AddNote(last_note);
}
baseseq.AddNote(new Note(last_note.Pitch - 12, last_note.Duration));
baseseq.AddNote(new Note(last_note.Pitch - 24, last_note.Duration * 2));
baseseq.AddPause(last_note.Duration * 32);
Track t = new Track(PatchNames.Vibraphone, 1);
var b1 = baseseq.Clone() as MelodySequence;
var b2 = baseseq.Clone() as MelodySequence;
var b3 = baseseq.Clone() as MelodySequence;
b1.Transpose(12);
b2.Transpose(6);
b3.Transpose(-12);
t.AddSequence(baseseq);
t.AddSequence(b1);
t.AddSequence(b2);
t.AddSequence(b3);
comp.Add(t);
comp.Add(t2);
Console.WriteLine("Press enter key to listen");
Console.ReadLine();
player.Play(comp);
}
}
static void Test9()
{
MusicPlayer player = new MusicPlayer();
Console.WriteLine("Harmony Test");
//ChromaticToneDuration, ChromaticTone, MelodicBigram, RhythmicBigram
MetricSimilarity cosine = new MetricSimilarity(GetMelodySequence(@"test\other\ff7tifa.mid"), new ChromaticToneDuration());
GeneticGenerator evolver = new GeneticGenerator(cosine);
var notes = evolver.Generate();
SimpleChord ch = new SimpleChord();
var melody = notes;
HarmonySequence harmony = ch.GetHarmonySequence(melody);
Track t1 = new Track(PatchNames.Acoustic_Grand, 2);
t1.AddSequence(melody);
Track t2 = new Track(PatchNames.Church_Organ, 1);
t2.AddSequence(harmony);
Composition comp = new Composition();
// comp.Add(t1);
comp.Add(t2);
player.Play(comp);
Console.ReadLine();
return;
}
static void Test5()
{
Console.WriteLine("Cross Correlation");
CrossCorrelation corr = new CrossCorrelation(GetMelodySequence(@"test\harry.mid"));
GeneticGenerator evolver = new GeneticGenerator(corr);
var notes = evolver.Generate();
Play(notes);
}
static void Test4()
{
Console.WriteLine("Melodic Bigram");
//ChromaticToneDuration, ChromaticTone, MelodicBigram, RhythmicBigram
MetricSimilarity cosine = new MetricSimilarity(GetMelodySequence(@"test\harry.mid"), new MelodicBigram());
GeneticGenerator evolver = new GeneticGenerator(cosine);
var notes = evolver.Generate();
Play(notes);
}
static void MetricTimingTest()
{
Databank db = new Databank("lib");
var cat = db.Load("Classical");
var fmets = new IMetric[]{new ChromaticTone(), new ChromaticToneDistance(), new ChromaticToneDuration(), new MelodicBigram(), new MelodicInterval()
, new Pitch(), new Rhythm(), new RhythmicBigram(), new RhythmicInterval()};
MusicPlayer player = new MusicPlayer();
foreach (var m in fmets)
{
Stopwatch watch = new Stopwatch();
watch.Start();
var metric = MetricSimilarity.GenerateMetricSimilarityMulti(cat.Compositions, new IMetric[] { m });
GeneticGenerator gen = new GeneticGenerator(metric);
gen.PrintProgress = false;
gen.MaxGenerations = 1000;
var mel = gen.Generate();
mel.Trim(20);
watch.Stop();
var className = ((object)m).GetType().Name;
Console.WriteLine("{0} - MF: {1}, AF {2}, T {3}", className, gen.MaxFitness, gen.AvgFitness, watch.ElapsedMilliseconds);
Console.ReadLine();
player.Play(mel);
}
Console.ReadLine();
}
static void GeneticTest()
{
Databank db = new Databank("lib");
var cat = db.Load("Classical");
MetricSimilarity cosine = MetricSimilarity.GenerateMetricSimilarityMulti(cat.Compositions, new IMetric[] { new ChromaticToneDistance(), new MelodicInterval(), new ChromaticToneDuration(), new RhythmicBigram() });
GeneticGenerator gen = new GeneticGenerator(cosine, PatchNames.Orchestral_Strings, cat);
gen.OnPercentage += (sender, percentage, fitness) => { Console.WriteLine("{0}: {1}", percentage, fitness); };
gen.MaxGenerations = 1000;
var outMel = gen.Generate();
MusicPlayer player = new MusicPlayer();
player.Play(outMel);
Composition comp = new Composition();
Track t = new Track(gen.Instrument, 3);
t.AddSequence(outMel);
comp.Add(t);
comp.WriteToMidi("genetic_cosine_all.mid");
}
private void Generate()
{
int index = optionsTab.SelectedIndex;
progressGenSlider.Value = 0;
if (index == 0)
{
if (geneticInstrumentBox.SelectedItem == null)
return;
fitnessPlot.ResetAllAxes();
SetupLinePlot(fitnessPlot, "Average Fitness");
(fitnessPlot.Model.Series[0] as LineSeries).Points.Clear();
fitnessPlot.Model.Series[0].Unselect();
fitnessPlot.InvalidatePlot();
//GA
IFitnessFunction fitness = null;
//Options
List<IMetric> activeMetrics = new List<IMetric>();
// if (metricChromaticTone.IsChecked == true)
// activeMetrics.Add(new ChromaticTone());
if (metricChromaticToneDistance.IsChecked == true)
activeMetrics.Add(new ChromaticToneDistance());
if (metricChromaticToneDuration.IsChecked == true)
activeMetrics.Add(new ChromaticToneDuration());
if (metricMelodicBigram.IsChecked == true)
activeMetrics.Add(new MelodicBigram());
if (metricMelodicInterval.IsChecked == true)
activeMetrics.Add(new MelodicInterval());
// if (metricPitch.IsChecked == true)
// activeMetrics.Add(new Pitch());
// if (metricPitchDistance.IsChecked == true)
// activeMetrics.Add(new PitchDistance());
// if (metricRhythm.IsChecked == true)
// activeMetrics.Add(new Rhythm());
if (metricRhythmicBigram.IsChecked == true)
activeMetrics.Add(new RhythmicBigram());
if (metricRhythmicInterval.IsChecked == true)
activeMetrics.Add(new RhythmicInterval());
fitness = GeneticMIDI.FitnessFunctions.MetricSimilarity.GenerateMetricSimilarityMulti(category.Compositions, activeMetrics.ToArray(), GeneticMIDI.FitnessFunctions.SimilarityType.Cosine);
/*
if (fitnessFuncCombo.SelectedIndex == 0)
fitness = new GeneticMIDI.FitnessFunctions.MetricSimilarity(seq, activeMetrics.ToArray(), GeneticMIDI.FitnessFunctions.SimilarityType.Cosine);
if (fitnessFuncCombo.SelectedIndex == 1)
fitness = new GeneticMIDI.FitnessFunctions.MetricSimilarity(seq, activeMetrics.ToArray(), GeneticMIDI.FitnessFunctions.SimilarityType.Euclidian);
if (fitnessFuncCombo.SelectedIndex == 2)
fitness = new GeneticMIDI.FitnessFunctions.MetricSimilarity(seq, activeMetrics.ToArray(), GeneticMIDI.FitnessFunctions.SimilarityType.Pearson);
if (fitnessFuncCombo.SelectedIndex == 3)
fitness = new GeneticMIDI.FitnessFunctions.CrossCorrelation(seq);
if (fitnessFuncCombo.SelectedIndex == 4)
fitness = GeneticMIDI.FitnessFunctions.NCD.FromMelodies(category);*/
Instrument = (PatchNames)geneticInstrumentBox.SelectedItem;
var gen = new GeneticGenerator(fitness, Instrument, category);
gen.OnPercentage += gen_OnPercentage;
gen.MaxGenerations = (int)maxGenerationSlider.Value;
Generator = gen;
new Thread(() =>
{
var notes = gen.Generate();
var mel = notes;
GeneratedSequence = mel;
progressGenSlider.Dispatcher.Invoke(() =>
{
progressGenSlider.Value = 100;
});
}).Start();
}
if (index == 1)
{
if (instrBox.SelectedItem as ListBoxItem == null || (instrBox.SelectedItem as ListBoxItem).Tag == null)
return;
if ((int)((instrBox.SelectedItem as ListBoxItem).Tag) == -1)
{
// Drum Generator
DrumGenerator gen = new DrumGenerator();
Generator = gen;
Instrument = PatchNames.Helicopter;
new Thread(() =>
{
StartSpinner();
gen.Initialize(new Databank(GeneticMIDI.Constants.LOCAL_LIBRARY_PATH));
GeneratedSequence = gen.Generate();
StopSpinner();
progressGenSlider.Dispatcher.Invoke(() =>
{
progressGenSlider.Value = 100;
});
}).Start();
}
else
{
PatchNames instrument = (PatchNames)((instrBox.SelectedItem as ListBoxItem).Tag);
Instrument = instrument;
InstrumentalGenerator gen = Generator as InstrumentalGenerator;
if (gen == null)
return;
gen.SetInstrument(Instrument);
new Thread(() =>
{
if (gen.IsInitialized)
{
StartSpinner();
GeneratedSequence = gen.GenerateInstrument(instrument);
StopSpinner();
}
progressGenSlider.Dispatcher.Invoke(() =>
{
progressGenSlider.Value = 100;
});
}).Start();
}
}
if(index == 2)
{
if (accompInstruBox.Items.Count == 0 || accompTrackBox.Items.Count == 0)
return;
Instrument = (PatchNames)(accompInstruBox.SelectedItem);
Track track = (accompTrackBox.SelectedItem as ListBoxItem).Tag as Track;
var melSeq = track.GetMainSequence() as MelodySequence;
Random rnd = new Random();
if(accompMethoBox.SelectedIndex == 0)
{
AccompanyGeneratorMarkov gen = new AccompanyGeneratorMarkov(category, Instrument);
Generator = gen;
new Thread(() =>
{
StartSpinner();
GeneratedSequence = gen.Generate(melSeq,rnd.Next());
StopSpinner();
progressGenSlider.Dispatcher.Invoke(() =>
{
progressGenSlider.Value = 100;
});
}).Start();
}
else if (accompMethoBox.SelectedIndex == 1)
{
AccompanimentGeneratorANNFF gen = new AccompanimentGeneratorANNFF(category, Instrument);
Generator = gen;
gen.SetSequence(melSeq);
new Thread(() =>
{
StartSpinner();
gen.Load();
GeneratedSequence = gen.Generate();
StopSpinner();
progressGenSlider.Dispatcher.Invoke(() =>
{
progressGenSlider.Value = 100;
});
}).Start();
}
}
if(index == 3)
{
//stochasticLogPlot.Model.Series.Clear();
stochasticLogPlot.ResetAllAxes();
SetupLinePlot(stochasticLogPlot, "Log Likelihood");
(stochasticLogPlot.Model.Series[0] as LineSeries).Points.Clear();
stochasticLogPlot.Model.Series[0].Unselect();
stochasticLogPlot.InvalidatePlot();
if (loadInstrument.SelectedItem == null)
return;
Instrument = (PatchNames)(loadInstrument.SelectedItem);
SamplingWithReplacement swr = new SamplingWithReplacement(category, Instrument);
swr.OnProgressChange += swr_OnProgressChange;
swr.MaxIterations = (int)loadGenerationsSlider.Value;
Generator = swr;
new Thread(() =>
{
StartSpinner();
GeneratedSequence = swr.Generate();
StopSpinner();
progressGenSlider.Dispatcher.Invoke(() =>
{
progressGenSlider.Maximum = 100;
progressGenSlider.Value = 100;
});
}).Start();
}
if(index == 4)
{
if (randomInstrument.SelectedItem == null)
return;
Instrument = (PatchNames)randomInstrument.SelectedItem;
int centralNotePitch = (int)randomOctave.Value * 12;
int noteShift = (int)randomPitchVar.Value;
int minNote = centralNotePitch - noteShift;
int maxNote = centralNotePitch + noteShift;
if (minNote <= 0)
minNote = 1;
if (maxNote >= 127)
maxNote = 126;
int durMin = (int)Math.Pow(randomDurationRange.LowerValue, 2);
int durMax = (int)Math.Pow(randomDurationRange.UpperValue, 2);
int length = (int)randomLength.Value;
ScaleType scale = randomScale.SelectedItem as ScaleType;
var gen = new ReflectingBrownNoteGenerator(new NoteRangeRestrictor(minNote, maxNote, durMin, durMax, scale), new Random(), -2, 2, -1, 1, Instrument);
Generator = gen;
gen.MaxNotes = length;
new Thread(() =>
{
StartSpinner();
GeneratedSequence = gen.Generate();
StopSpinner();
progressGenSlider.Dispatcher.Invoke(() =>
{
progressGenSlider.Value = 100;
});
}).Start();
Console.ReadLine();
}
}
