static void ClassifyAndDump(short[] signal, SignalClassifier classifier, string folder, string fileName)
{
var result = classifier.Classify(signal).Select(ConvertClassMark).ToArray();
var dump = new WavFileInfo(DefaultSampleRate, result);
var filePath = string.Concat(folder, fileName, "_result", ".wav");
dump.Write(filePath);
}
private static void ClassifyAll(string folder, string[] fileNames, SignalClassifier classifier)
{
foreach (var fileName in fileNames)
{
var wavFile = WavFileInfo.Read(string.Concat(folder, fileName, ".wav"));
if (wavFile.SampleRate != DefaultSampleRate)
{
throw new Exception(string.Format("File {0} has non-default sample rate", fileName));
}
ClassifyAndDump(wavFile.Data, classifier, folder, fileName);
var markerFile = MarkerFileInfo.Read(string.Concat(folder, fileName, ".mrk"));
var expectedWavFile = new WavFileInfo(wavFile.SampleRate,
markerFile.Decompress(wavFile.Data.Length)
.Select(ConvertClassMark)
.ToArray());
expectedWavFile.Write(string.Concat(folder, fileName, "_expected", ".wav"));
}
}
static void ExtractAndDump(short[] signal, IFeatureExtractor featureExtractor, string folder, string fileName)
{
var feature = featureExtractor.Extract(signal);
var dump = new WavFileInfo(DefaultSampleRate, feature);
var filePath = string.Concat(folder, fileName, featureExtractor.FeatureName, ".wav");
dump.Write(filePath);
}