public static void ComputeAllFeatures(string wavpath, string resultpath, System.Windows.Forms.TextBox progress)
{
int aa = 0;
StreamWriter writer = new StreamWriter("d:\\features.txt");
for (int i = 1; i <= 674; i++)
{
WaveStream readerStream = new WaveFileReader(@"D:\Z projekti\Emocije\code\sustav(pun)\wavs\" + i.ToString() + ".wav");
WaveFormat format = new WaveFormat(readerStream.WaveFormat.SampleRate, 8, 1);
readerStream = new WaveFormatConversionStream(format, readerStream);
int length = (int)readerStream.Length;
byte[] buffer = new byte[length];
readerStream.Read(buffer, 0, length);
Classifier = new Classifiers.GoodClassifier();
Classifier.SamplingFrequency = 11025;
Classifier.SubWindowLength = 256; // 44100 [samples per second] * 0.025 [25 milisecond interval]
Classifier.SubWindowShift = 165; // 44100 [samples per second] * 0.015 [15 milisecond interval]
Classifier.SuperWindowLength = (int)Math.Floor((double)length / (Classifier.SubWindowShift)) - 10; // 44100 [samples per second] / 1102 [SubFeatures per second] * 2 [seconds]
Classifier.SuperWindowShift = 5; // 44100 [samples per second] / 1102 [SubFeatures per second] * 1 [seconds]
Classifier.ClassificationComplete += new AbstractClassifier.ClassifComplete(Classifier_ClassificationComplete);
Classifier.SubFeaturesComputed += new AbstractClassifier.SubFeaturesComp(Classifier_SubFeaturesComputed);
Classifier.SuperFeaturesComputed += new AbstractClassifier.SuperFeaturesComp(Classifier_SuperFeaturesComputed);
Classifier.EnqueueData(buffer);
System.Windows.Forms.Application.DoEvents();
string line = "";
foreach (double d in Classifier.AllFeatures.First())
{
line += d.ToString(CultureInfo.InvariantCulture) + ",";
}
line = line.TrimEnd(',');
line += "\r\n";
writer.WriteLine(line);
writer.Flush();
progress.Text = i.ToString();
}
writer.Flush();
}
public static void ComputeAllFeatures(string wavpath, string resultpath, System.Windows.Forms.TextBox progress)
{
int aa=0;
StreamWriter writer = new StreamWriter("d:\\features.txt");
for (int i = 1; i <= 674; i++)
{
WaveStream readerStream = new WaveFileReader(@"D:\Z projekti\Emocije\code\sustav(pun)\wavs\" + i.ToString()+ ".wav");
WaveFormat format = new WaveFormat(readerStream.WaveFormat.SampleRate, 8, 1);
readerStream = new WaveFormatConversionStream(format, readerStream);
int length = (int)readerStream.Length;
byte[] buffer = new byte[length];
readerStream.Read(buffer, 0, length);
Classifier = new Classifiers.GoodClassifier();
Classifier.SamplingFrequency = 11025;
Classifier.SubWindowLength = 256; // 44100 [samples per second] * 0.025 [25 milisecond interval]
Classifier.SubWindowShift = 165; // 44100 [samples per second] * 0.015 [15 milisecond interval]
Classifier.SuperWindowLength = (int)Math.Floor((double)length / (Classifier.SubWindowShift))-10; // 44100 [samples per second] / 1102 [SubFeatures per second] * 2 [seconds]
Classifier.SuperWindowShift = 5; // 44100 [samples per second] / 1102 [SubFeatures per second] * 1 [seconds]
Classifier.ClassificationComplete += new AbstractClassifier.ClassifComplete(Classifier_ClassificationComplete);
Classifier.SubFeaturesComputed += new AbstractClassifier.SubFeaturesComp(Classifier_SubFeaturesComputed);
Classifier.SuperFeaturesComputed += new AbstractClassifier.SuperFeaturesComp(Classifier_SuperFeaturesComputed);
Classifier.EnqueueData(buffer);
System.Windows.Forms.Application.DoEvents();
string line = "";
foreach (double d in Classifier.AllFeatures.First())
{
line += d.ToString(CultureInfo.InvariantCulture) + ",";
}
line = line.TrimEnd(',');
line += "\r\n";
writer.WriteLine(line);
writer.Flush();
progress.Text = i.ToString();
}
writer.Flush();
}
