/// <summary>
/// Handler for recognized speech events.
/// </summary>
/// <param name="sender">object sending the event.</param>
/// <param name="e">event arguments.</param>
private void SpeechRecognized(object sender, SpeechRecognizedEventArgs e)
{
// Speech utterance confidence below which we treat speech as if it hadn't been heard
const double ConfidenceThreshold = 0.3;
if (e.Result.Confidence >= ConfidenceThreshold && enabled)
{
switch (e.Result.Grammar.Name)
{
case "ImageNavigation":
int requestedImageIndex = (int)e.Result.Semantics["imageNumber"].Value;
Console.WriteLine("Speech Recognized: " + e.Result.Text);
Console.WriteLine("Semantic Results: " + requestedImageIndex);
Console.WriteLine("Speech Result Confidence: " + e.Result.Confidence);
string a = e.Result.Text.ToLowerInvariant();
string b = "go to image " + IntToWord.IntegerToWritten(requestedImageIndex);
if (SpeechAnalyzer.Levenshtein(a, b) == 0)
{
mainWindow.GetImageManager().GoToImage(requestedImageIndex);
}
break;
case "XMLGrammar":
Console.WriteLine("Speech Recognized: " + e.Result.Text);
Console.WriteLine("Speech Result Confidence: " + e.Result.Confidence);
switch (e.Result.Semantics.Value.ToString())
{
case "FORWARD":
mainWindow.GetImageManager().ShowNextImage();
break;
case "BACKWARD":
mainWindow.GetImageManager().ShowPreviousImage();
break;
}
break;
}
}
}
/// <summary>
/// Constructor for voice recognition
/// </summary>
/// <param name="kinectSensor"></param>
/// <param name="mainWindow"></param>
public VoiceRecognition(KinectSensor kinectSensor, MainWindow mainWindow)
{
this.kinectSensor = kinectSensor;
this.mainWindow = mainWindow;
// Grab the audio stream
IReadOnlyList <AudioBeam> audioBeamList = kinectSensor.AudioSource.AudioBeams;
Stream audioStream = audioBeamList[0].OpenInputStream();
// Create the convert stream
convertStream = new KinectAudioStream(audioStream);
RecognizerInfo recognizerInfo = TryGetKinectRecognizer();
if (recognizerInfo != null)
{
speechEngine = new SpeechRecognitionEngine(recognizerInfo.Id);
Choices indices = new Choices();
GrammarBuilder indexValues = new GrammarBuilder {
Culture = recognizerInfo.Culture
};
GrammarBuilder imageNavigationSpeech = new GrammarBuilder();
for (int i = 0; i < 78; i++)
{
SemanticResultValue index = new SemanticResultValue(IntToWord.IntegerToWritten(i + 1), i + 1);
indices.Add(index);
indexValues.Append(index);
}
indexValues.Append(indices);
imageNavigationSpeech.Append("go to image");
imageNavigationSpeech.Append(new SemanticResultKey("imageNumber", indices));
Grammar imageNavigationGrammar = new Grammar(imageNavigationSpeech);
imageNavigationGrammar.Name = "ImageNavigation";
speechEngine.LoadGrammar(imageNavigationGrammar);
// Create a grammar from grammar definition XML file.
using (var memoryStream = new MemoryStream(Encoding.ASCII.GetBytes(Properties.Resources.SpeechGrammar)))
{
Grammar XMLGrammar = new Grammar(memoryStream);
XMLGrammar.Name = "XMLGrammar";
speechEngine.LoadGrammar(XMLGrammar);
}
speechEngine.SpeechRecognized += SpeechRecognized;
speechEngine.SpeechRecognitionRejected += SpeechRejected;
// let the convertStream know speech is going active
convertStream.SpeechActive = true;
// For long recognition sessions (a few hours or more), it may be beneficial to turn off adaptation of the acoustic model.
// This will prevent recognition accuracy from degrading over time.
speechEngine.UpdateRecognizerSetting("AdaptationOn", 0);
speechEngine.SetInputToAudioStream(this.convertStream, new SpeechAudioFormatInfo(EncodingFormat.Pcm, 16000, 16, 1, 32000, 2, null));
speechEngine.RecognizeAsync(RecognizeMode.Multiple);
}
}