public RecognizeEngineDiscreteHmmLearning(int numberOfHiddenStates, EngineParameters parameters,
Codebook codebook)
{
_numberOfHiddenStates = numberOfHiddenStates;
_engineParameters = parameters;
_codeBook = codebook;
}
public FeatureUtility(EngineParameters parameters)
{
FrameSizeMiliseconds = parameters.FrameSizeMiliseconds;
StepSizeMiliseconds = parameters.StepSizeMiliseconds;
ProviderParameters = parameters.ProviderParameters;
SilenceThreshHold = Convert.ToInt32(Math.Ceiling((FrameSizeMiliseconds*10)/StepSizeMiliseconds));
MinWordLength = Convert.ToInt32(Math.Ceiling((FrameSizeMiliseconds * 8) / StepSizeMiliseconds));
}
public DetectionEngine(int numberOfHiddenStates, EngineParameters parameters, Codebook codebook, IEnumerable<HiddenMarkovModel> models = null)
{
_numberOfHiddenStates = numberOfHiddenStates;
_engineParameters = parameters;
_codeBook = codebook;
if (models != null)
{
foreach (var model in models)
{
var idProp = (IdentificationProperties) model.Tag;
_models[idProp.Label] = model;
}
}
}
public static Codebook FromWaves(IList<ISoundSignalReader> sounds, EngineParameters parameters, int codeBookSize = 256)
{
var featureUtility = new FeatureUtility(parameters);
var features = new List<double[][]>();
foreach (var signal in sounds)
{
signal.Reset();
var items = featureUtility.ExtractFeatures(signal).Select(item => item.ToArray());
features.AddRange(items);
}
var codeBook = new Codebook(features.SelectMany(item => item).Select(item => new Point(item)).ToArray(), codeBookSize);
return codeBook;
}