public void Read(WaveControl wc, string filename, ProgressBar progress)
{
m_Wavefile = new WaveSound(filename, wc, progress);
m_Wavefile.ReadWavFile();
m_DrawWave = true;
}
/// <summary>Compare its wave sound to the given sound by applying FFT algorithm.</summary>
/// <param name="wf">The wave sound that is used to compare with its own wave sound</param>
/// <returns>percentage of similarity</returns>
public float Compare(WaveSound wf)
{
int nbcorrect = 0;
int i = 0;
bool endfile = false;
int a = 0, b = 0;
float[] frames = new float[nbframe > wf.nbframe ? nbframe : wf.nbframe];
comparedFrame = nbframe < wf.nbframe ? nbframe : wf.nbframe;
short[] MissPlay = new short[comparedFrame];
int step = 0;
if (ProgressBar.Value != MAX_PROGRESS)
{
step = (MAX_PROGRESS - ProgressBar.Value) / comparedFrame;
}
// Open FFT file
using (BinaryReader f1 = new BinaryReader(File.Open(filename + ".fft.dat", FileMode.Open)))
using (BinaryReader f2 = new BinaryReader(File.Open(wf.filename + ".fft.dat", FileMode.Open)))
using (StreamWriter sw2 = new StreamWriter(wf.filename + ".fft.txt"))
{
while (!endfile)
{
try
{
a = f1.ReadInt16();
b = f2.ReadInt16();
if (i == 49)
{
}
if (a == -9999 || b == -9999)
{
// Calculate the value for 1 frame
frames[i] = (float)nbcorrect / (fftPoint / 2);
ProgressBar.Value += step;
i++;
nbcorrect = 0;
}
else
{
if (Math.Abs(a - b) <= 10)
{
nbcorrect++;
}
}
sw2.Write(a);
sw2.WriteLine("," + b);
}
catch
{
endfile = true;
f1.Close();
f2.Close();
sw2.Close();
}
}
nbcorrect = 0;
int idx = 0;
int len = comparedFrame;
comparedFrame = 0;
for (i = 0; i < len; i++)
{
nbcorrect += frames[i] >= 0.7 ? 1 : 0;
if (frames[i] < 0.7)
{
MissPlay[idx] = (short)i;
idx = idx + 1;
comparedFrame++;
}
}
f1.Close();
f2.Close();
sw2.Close();
for (i = 0; i < comparedFrame; i++)
{
missData = missData + MissPlay[i] + ";";
}
}
return((float)(nbcorrect * 100 / frames.Length));
}