private void button2_Click(object sender, EventArgs e)
{
Database database = MdiParent1.Database;
Dictionary <int, Contact> dictionary =
database.Load(new Contact())
.ToDictionary(contact => Database.ConvertTo <int>(((Contact)contact).Id),
contact => (Contact)contact);
using (var spectrumBuilder = new SpectrumBuilder(MdiParent1.SpectrumLength, MdiParent1.Frequency))
{
foreach (string file in recordingPanel1.Files)
{
using (var waveFileReader = new WaveFileReader(Path.Combine(RecordingPanel.AudioFolder, file)))
spectrumBuilder.Add(waveFileReader);
}
double[] data = spectrumBuilder.GetData();
List <ClientCorrelation> list =
MdiParent1.ContactClassifier.Select(character => new ClientCorrelation
{
Id = character.Key,
Value = new CorrelationBuilder(data, character.Value).GetValue()
}).ToList();
list.Sort();
var listBoxForm = new ListBoxForm(list.Select(item => dictionary[item.Id]).Cast <object>(),
list.Select(item => item.Value));
listBoxForm.ShowDialog();
}
}
private void button5_Click(object sender, EventArgs e)
{
using (var waveBuilder = new WaveBuilder(MdiParent1.Duration, MdiParent1.Frequency))
{
foreach (string file in recordingPanel1.Files)
{
using (var waveFileReader = new WaveFileReader(Path.Combine(RecordingPanel.AudioFolder, file)))
waveBuilder.Add(waveFileReader);
}
Complex[] data = waveBuilder.GetData_Complex();
var soundCorrelations = new List <AudioForm.SoundCorrelation>();
foreach (var sound in MdiParent1.SoundsClassifier)
{
string phoneme = sound.Key;
int count = data.Length;
Complex[] complexs = data.Zip(sound.Value, (x, y) => (x * y)).ToArray();
var input = new fftw_complexarray(complexs);
var output = new fftw_complexarray(count);
fftw_plan.dft_1d(count, input, output, fftw_direction.Backward, fftw_flags.Estimate).Execute();
List <double> list = output.GetData_Complex().Select(x => x.Magnitude).ToList();
list.Sort();
if (list.Count > MdiParent1.SinglePhonemeCount)
{
list.RemoveRange(0, list.Count - MdiParent1.SinglePhonemeCount);
}
soundCorrelations.AddRange(
list.Select(value => new AudioForm.SoundCorrelation {
Phoneme = phoneme, Value = value
}));
soundCorrelations.Sort();
if (soundCorrelations.Count > MdiParent1.TotalPhonemeCount)
{
soundCorrelations.RemoveRange(MdiParent1.TotalPhonemeCount,
soundCorrelations.Count - MdiParent1.TotalPhonemeCount);
}
}
var listBoxForm = new ListBoxForm(soundCorrelations.Select(item => item.Phoneme).Cast <object>(),
soundCorrelations.Select(item => item.Value));
listBoxForm.ShowDialog();
}
}
private void button5_Click(object sender, EventArgs e)
{
Database database = MdiParent1.Database;
var list = new List <ClientCorrelation>();
Dictionary <int, Contact> dictionary =
database.Load(new Contact())
.ToDictionary(contact => Database.ConvertTo <int>(((Contact)contact).Id),
contact => (Contact)contact);
foreach (string file in recordingPanel1.Files)
{
using (var waveFileReader = new WaveFileReader(Path.Combine(RecordingPanel.AudioFolder, file)))
{
using (var waveBuilder = new WaveBuilder(MdiParent1.Duration, MdiParent1.Frequency))
{
waveBuilder.Add(waveFileReader);
Complex[] data = waveBuilder.GetData_Complex(true);
foreach (var audioFile in MdiParent1.AudioFileClassifier)
{
int count = data.Length;
var input = new fftw_complexarray(data.Zip(audioFile.Value, (x, y) => (x * y)).ToArray());
var output = new fftw_complexarray(count);
fftw_plan.dft_1d(count, input, output, fftw_direction.Forward, fftw_flags.Estimate)
.Execute();
double value = output.GetData_Complex().Select(x => x.Magnitude).Max();
list.Add(new ClientCorrelation
{
Id = audioFile.Key,
Value = value
});
}
}
}
}
list.Sort();
var listBoxForm = new ListBoxForm(list.Select(item => dictionary[item.Id]).Cast <object>(),
list.Select(item => item.Value));
listBoxForm.ShowDialog();
}
