public RecognizeEngineDiscreteHmmLearning(int numberOfHiddenStates, EngineParameters parameters,
Codebook codebook)
{
_numberOfHiddenStates = numberOfHiddenStates;
_engineParameters = parameters;
_codeBook = codebook;
}
void MainWindow_Loaded(object sender, RoutedEventArgs e)
{
var result = TrainResult.Load("SavedData", "model");
if (result != null)
{
_models = result.Models;
_codebook = result.Catalog;
}
}
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;
}
private void Train()
{
Dictionary<string, IList<ISoundSignalReader>> learningWordSignals = new Dictionary<string, IList<ISoundSignalReader>>();
List<string> learningDirectories = new List<string>();
foreach (var folder in ConfigurationSettings.LearningsFolders)
{
learningDirectories.AddRange(Directory.GetDirectories(folder));
}
foreach (var directory in learningDirectories.Where(item => !item.Contains("catalog")))
{
var word = new DirectoryInfo(directory).Name;
learningWordSignals.Add(word, new List<ISoundSignalReader>());
var wavFiles = Directory.GetFiles(directory).Select(item => new FileInfo(item)).Where(fItem => fItem.Extension.Contains("wav"));
foreach (var file in wavFiles)
{
learningWordSignals[word].Add(new WavSoundSignalReader(file.FullName));
}
}
var catalogSignals = new List<ISoundSignalReader>();
catalogSignals.AddRange(learningWordSignals.SelectMany(item => item.Value));
var codeBook = CodeBookFactory.FromWaves(catalogSignals, EngineParameters.Default);
var recognitionEngine = new DetectionEngine(codeBook);
var result = recognitionEngine.Train(learningWordSignals);
//result.Hmm.Save("HMModels.dat");
_models = result.Models;
_codebook = result.Catalog;
result.Save("SavedData", "model");
}
public RecognizeEngineDiscreteHmmLearning(Codebook codeBook)
: this(5, EngineParameters.Default, codeBook)
{
}
public DetectionEngine(Codebook codeBook, IEnumerable<HiddenMarkovModel> models = null)
: this(5, EngineParameters.Default, codeBook, models)
{
}