public void Predict(string file)
{
ExtractMFCC.ReadWav(file, out double[] L, out double[] R);
var mfcc = ExtractMFCC.MFCC_20_calculation(L);
float[] pred = Model.predict(mfcc)[0].To <float[]>();
}
public void InitialData()
{
int i = 0;
foreach (string folder in Directory.GetFiles(TrainPath))
{
foreach (string file in Directory.GetFiles(folder))
{
ExtractMFCC.ReadWav(file, out double[] L, out double[] R);
TrainData.Add(ExtractMFCC.MFCC_20_calculation(L));
TrainLabels.Add(i);
}
i++;
}
i = 0;
foreach (string folder in Directory.GetFiles(ValidatePath))
{
foreach (string file in Directory.GetFiles(folder))
{
ExtractMFCC.ReadWav(file, out double[] L, out double[] R);
ValidData.Add(ExtractMFCC.MFCC_20_calculation(L));
TrainLabels.Add(i);
}
i++;
}
foreach (var t in TrainData)
{
if (t.Length / 20 != ExtractMFCC.countFramesMax)
{
t.Add(new double[(ExtractMFCC.countFramesMax - (t.Length / 20)), 20]);
}
}
foreach (var t in TrainData)
{
if (t.Length / 20 != ExtractMFCC.countFramesMax)
{
t.Add(new double[(ExtractMFCC.countFramesMax - (t.Length / 20)), 20]);
}
}
}
