private void beginGenerationButton_Click(object sender, EventArgs e)
{
try
{
PianoNoteRetriever retriever = new PianoNoteRetriever();
var midiEvents = new InstrumentMidiEventProducer(this.files.Select(x => new Sequence(x)));
var midi = midiEvents.GetOrderedMessages(GeneralMidiInstrument.AcousticGrandPiano);
Chord.AllowForComplexSimplification = this.checkBox1.Checked;
var accords = Chord.RetrieveChords(midi, retriever);
INGrams<Chord> grams = null;
if (this.homogeneous)
{
grams = HomogenousNGrams<Chord>.BuildNGrams((int)this.leftRangeNumericUpDown.Value, accords);
}
else
{
grams = HeterogenousNGrams<Chord>.BuildNGrams((int)this.leftRangeNumericUpDown.Value, (int)this.rightRangeNumericUpDown.Value, accords);
}
NGramGraphMarkovChain<Chord> graph = new NGramGraphMarkovChain<Chord>(grams);
this.Save(graph);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
static SimplisticPianoNote()
{
SimplisticPianoNote.PianoNoteRetriever = new PianoNoteRetriever();
}
private void trainingButton_Click(object sender, EventArgs e)
{
PianoNoteRetriever retriever = new PianoNoteRetriever();
var midiEvents = new InstrumentMidiEventProducer(this.files.Select(x => new Sequence(x)));
var midi = midiEvents.GetOrderedMessages(GeneralMidiInstrument.AcousticGrandPiano);
Chord.AllowForComplexSimplification = this.checkBox.Checked;
var accords = Chord.RetrieveChords(midi, retriever);
DiscreteDataRetriever data = new DiscreteDataRetriever(accords.ToList());
DiscreteNeuralNetworkByChord.OkayWeight = (double)this.okayWeight.Value;
DiscreteNeuralNetworkByChord.HiddenLayerSize = (int)hiddelLayerSize.Value;
if (this.okayFiles != null)
{
var midiEvents1 = new InstrumentMidiEventProducer(this.okayFiles.Select(x => new Sequence(x)));
var midi1 = midiEvents1.GetOrderedMessages(GeneralMidiInstrument.AcousticGrandPiano);
Chord.AllowForComplexSimplification = this.checkBox.Checked;
var accords1 = Chord.RetrieveChords(midi1, retriever);
DiscreteDataRetriever data1 = new DiscreteDataRetriever(accords1.ToList());
this.nnByChord = new DiscreteNeuralNetworkByChord(data.Good, data1.Good, data.Bad.Union(data1.Bad).Take(data.Bad.Count).ToList(),
new AForge.Neuro.BipolarSigmoidFunction());
}
else
{
this.nnByChord = new DiscreteNeuralNetworkByChord(data.Good, data.Okay, data.Bad, new AForge.Neuro.SigmoidFunction());
}
foreach (var item in this.Controls.OfType<Control>())
{
item.Enabled = false;
}
threadTrain = new Thread(Start);
threadTrain.Start();
}