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(); } }