internal static IDetailProvider GetDetailProvider(DetectionEngine detectionEngine)
{
var providers = new Dictionary <DetectionEngine, Func <IDetailProvider> >()
{
{ DetectionEngine.WindowsDefender, () => new WindowsDefenderDetailProvider() }
};
return(providers.TryGetValue(detectionEngine, out var factory)
? factory()
: null);
}
private void StartStopRecognition(object sender, RoutedEventArgs e)
{
if (_currentState == AppState.Idle)
{
txtRecognizedText.Text = string.Empty;
var recognitionEngine = new DetectionEngine(_codebook, _models);
_signal = new MicrophoneSoundSignalReader();
var length = (_signal.SampleRate / 1000.0) * EngineParameters.Default.StepSizeMiliseconds;
if (_aggregator != null)
{
_aggregator.SampleReady -= AggregatorSampleReady;
}
_aggregator = new SampleAggregator(Convert.ToInt32(length));
_aggregator.SampleReady += AggregatorSampleReady;
_signal.Start();
Action action = () =>
{
Thread.Sleep(3000);
recognitionEngine.RecognizeAsync(_signal, OnMessageReceived, _aggregator);
};
action.BeginInvoke(null, null);
btnRecog.Content = "Stop Recognition";
_currentState = AppState.Recognition;
}
else
{
btnRecog.Content = "Start Recognition";
_signal.Close();
_currentState = AppState.Idle;
_aggregator.SampleReady -= AggregatorSampleReady;
_aggregator = null;
}
}
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");
}
