public RawSoundViewModel(SoundDataModel soundDataModel)
{
SoundDataModel = soundDataModel;
SoundDataModel.OnSampleLoaded
.ObserveOn(SynchronizationContext.Current)
.Subscribe(OnSampleLoaded);
OnSampleLoaded(SoundDataModel.IsAudioContainerCreated);
}
public RecordingSoundViewModel(SoundDataModel soundDataModel)
{
SoundDataModel = soundDataModel;
StartRecording = new DelegateCommand(() =>
{
});
StopRecording = new DelegateCommand(() =>
{
});
}
public SoundGenerationViewModel(SoundDataModel soundDataModel)
{
SoundDataModel = soundDataModel;
GenerateSample = new DelegateCommand(() =>
{
var settings = new SampleGeneratorSettings
{
SampleRate = SampleRate,
Datas = _soundDatas.ToList()
};
SoundDataModel.GenerateSample.OnNext(settings);
});
LoadToAnalysis = new DelegateCommand(() =>
{
});
SaveToFile = new DelegateCommand(() =>
{
});
AddData = new DelegateCommand(() =>
{
var data = new SignalGenerationData
{
Duration = Duration,
Frequency = SignalFrequency,
TimeStart = -1
};
_soundDatas.Add(data);
});
ClearAll = new DelegateCommand(() =>
{
_soundDatas.Clear();
});
SignalFrequency = 10;
SampleRate = 1024;
Duration = 128;
}
public WaveletGenerationViewModel(SoundDataModel soundDataModel)
{
SoundDataModel = soundDataModel;
GenerateWavelet = new DelegateCommand(() =>
{
//todo: put to wavelet model;
var complex = WaveletTransformCPU.GenerateMorletWavelet(WaveFrequency, SampleRate, CyclesCount, PointsCount, SigmaValue);
var real = complex.Select(v => (float)v.Real).ToArray();
var duration = 1.0 / SampleRate * PointsCount;
var container = new AudioContainer((float)duration, SampleRate, real);
SoundDataModel.LoadContainer.OnNext(container);
});
WaveFrequency = 1;
CyclesCount = 5;
PointsCount = 1024;
SampleRate = 64;
SigmaValue = 5;
}
public DataSourceViewModel(SoundDataModel soundDataModel)
{
SoundDataModel = soundDataModel;
OpenFileCommand = new DelegateCommand(() =>
{
var openFileDialog = new OpenFileDialog();
if (openFileDialog.ShowDialog() == true)
{
SoundDataModel.LoadFile.OnNext(openFileDialog.FileName);
}
});
SelectWorkFolder = new DelegateCommand(() =>
{
using var dialog = new FolderBrowserDialog();
if (dialog.ShowDialog() == DialogResult.OK)
{
SoundDataModel.SetCurrentWorkDirectory.OnNext(dialog.SelectedPath);
}
});
LoadSelectedFile = new DelegateCommand(() =>
{
SoundDataModel.LoadFile.OnNext(SelectedFilePathItem);
});
SoundDataModel.OnSampleLoaded
.ObserveOn(SynchronizationContext.Current)
.Subscribe(OnSoundTrackLoaded);
SoundDataModel.OnSoundSourceChanged
.ObserveOn(SynchronizationContext.Current)
.Subscribe(OnSoundSourceChanged);
SoundDataModel.OnCurrentWorkDirectoryChanged
.ObserveOn(SynchronizationContext.Current)
.Subscribe(OnCurrentWorkDirectoryChanged);
OnSoundTrackLoaded(SoundDataModel.IsAudioContainerCreated);
OnSoundSourceChanged(soundDataModel.SoundSource);
}
public WaveletTransformNumericalViewModel(SoundDataModel soundDataModel, ScalogramModel scalogramModel)
{
SoundDataModel = soundDataModel;
ScalogramModel = scalogramModel;
GenerateAnalysis = new DelegateCommand(() =>
{
var fft = new FastFourierTransformCPU(SoundDataModel.AudioContainer.Samples);
var scalogramCreator = new ScalogramCreator(SoundDataModel.AudioContainer, fft);
var frequencies = new List <float>
{
FrequencyToAnalyze
};
var scalogramContainer = scalogramCreator.CreateScalogram(frequencies, CyclesCount);
var list = new List <DataPoint>();
var n = 1;
foreach (var v in scalogramContainer.ScalogramValues)
{
list.Add(new DataPoint(n++, v));
}
Points = list;
});
AnalyzeNextFrequency = new DelegateCommand(() =>
{
FrequencyToAnalyze++;
GenerateAnalysis.Execute();
});
AnalyzePreviousFrequency = new DelegateCommand(() =>
{
FrequencyToAnalyze--;
GenerateAnalysis.Execute();
});
FrequencyToAnalyze = 1;
CyclesCount = 3;
}
public NotesRecognizingViewModel(SoundDataModel soundDataModel)
{
SoundDataModel = soundDataModel;
Recognize = new DelegateCommand(RecognizeImpl);
}
