Exemplo n.º 1
0
        private void StartSpeechRecognition()
        {
            if (speechRecognition == null)
            {
                return;
            }

            try
            {
                string grammarsFolder = Path.Combine(Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location), "Grammars", "SRGS");
                speechRecognition.LoadGrammar(new FileStream(Path.Combine(grammarsFolder, "TrackingCam_en.xml"), FileMode.Open), "TrackingCam");

                speechRecognition.Recognized    += SpeechRecognition_Recognized;
                speechRecognition.NotRecognized += SpeechRecognition_NotRecognized;

                /*
                 * //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.
                 * speechRecognition.AcousticModelAdaptation = false;
                 */

                speechRecognition.Start();
            }
            catch (Exception e)
            {
                speechRecognitionKinect = null;
                speechRecognition       = null;
                MessageBox.Show(e.Message);
            }
        }
Exemplo n.º 2
0
        /// <summary>
        /// Execute initialization tasks.
        /// </summary>
        protected void Init()
        {
            ShowPenColor();

            // This requires that a Kinect is connected at the time of app startup.
            // To make the app robust against plug/unplug,
            // Microsoft recommends using KinectSensorChooser provided in Microsoft.Kinect.Toolkit (See components in Toolkit Browser).
            if (KinectV1Utils.StartKinectSensor() == null)
            {
                statusBarText.Text   = Properties.Resources.NoKinectReady;
                imgKinect.Visibility = Visibility.Hidden;
            }
            else
            {
                statusBarText.Text   = Properties.Resources.KinectReady;
                imgKinect.Visibility = Visibility.Visible;
            }

            speechSynthesis = new SpeechSynthesis();

            speechRecognition = new SpeechRecognitionKinectV1();                          //will fallback to same engine used by SpeechRecognition class automatically if it can't find Kinect V1 sensor

            speechRecognition.LoadGrammar(Properties.Resources.SpeechGrammar_en, "Main"); //could use SpeechGrammar_en.Create() to generate the grammar programmatically instead of loading it from an XML (resource) file
            speechRecognition.LoadGrammar(SpeechRecognitionUtils.CreateGrammarFromNames(ColorUtils.GetKnownColorNames(), "en", "Colors"));

            //setup recognition event handlers
            speechRecognition.Recognized    += SpeechRecognition_Recognized;
            speechRecognition.NotRecognized += SpeechRecognition_NotRecognized;

            // 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.
            //// speechRecognition.AcousticModelAdaptation = false;

            speechRecognition.Start(); //start speech recognition (set to keep on firing speech recognition events, not just once)
        }
Exemplo n.º 3
0
        /// <summary>
        /// Starts the speech recognition.
        /// </summary>
        protected void StartSpeechRecognition() //called by LoadSpeechRecognitionPlugin
        {
            if (speechRecognition == null)
            {
                return;
            }

            try
            {
                LoadSpeechRecognitionGrammarsForUI();
                LoadSpeechRecognitionGrammarForGestureCollection();

                GestureCollectionLoaded         += MainWindow_GestureCollectionLoaded;
                speechRecognition.Recognized    += SpeechRecognition_Recognized;
                speechRecognition.NotRecognized += SpeechRecognition_NotRecognized;

                /*
                 * //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.
                 * speechRecognition.AcousticModelAdaptation = false;
                 */

                speechRecognition.Start();
            }
            catch (Exception e)
            {
                speechRecognition = null;
                MessageBox.Show(e.Message);
            }
        }