public SearchPageModel(IPhotoService photoService, IAutoSuggestService autoSuggestService, ISpeechRecognition speechRecognition, IUserDialogs userDialogs)
{
_photoService = photoService;
_autoSuggestService = autoSuggestService;
_speechRecognition = speechRecognition;
_userDialogs = userDialogs;
}
/// <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)
}
/// <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);
}
}
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);
}
}
public TextHandler(ISpeaker speaker, ISpeechRecognition speechRecognition)
{
_speaker = speaker;
_speechRecognition = speechRecognition;
var parser = new Parser();
_formList = parser.ParseDocument();
}
public TranslatorPage()
{
InitializeComponent();
// Dependency Injection - reference to classes in Android module
recorder = DependencyService.Get <IRecorder>();
speechRecognition = DependencyService.Get <ISpeechRecognition>();
tranlation = DependencyService.Get <ITranslation>();
azureEasyTableClient = DependencyService.Get <IAzureEasyTableClient>();
isRecording = false;
}
public MainWindow()
{
ISpeaker speaker = new Speaker();
_speechRecognitionEngine = new SpeechRecognition();
_textHandler = new TextHandler(speaker, _speechRecognitionEngine);
_kebabManager = new KebabManager(_speechRecognitionEngine, _textHandler);
InitializeComponent();
_worker.DoWork += Run;
_worker.RunWorkerAsync();
}
public void LoadSpeechRecognitionPlugin()
{
Lazy<ISpeechRecognitionKinect> plugin1 = PluginsCatalog.mefContainer.GetExports<ISpeechRecognitionKinect>("SpeechLib.Recognition.KinectV1").FirstOrDefault();
speechRecognition = (plugin1 != null) ? plugin1.Value : null;
if (speechRecognition == null) //SpeechRecognitionKinect plugin couldn't be loaded, try to fallback to the SpeechRecognition one (which uses the default audio source as input)
{
Lazy<ISpeechRecognition> plugin2 = PluginsCatalog.mefContainer.GetExports<ISpeechRecognition>("SpeechLib.Recognition").FirstOrDefault();
speechRecognition = (plugin2 != null) ? plugin2.Value : null;
}
if (speechRecognition != null)
StartSpeechRecognition();
}
public void LoadSpeechRecognitionPlugin()
{
Lazy <ISpeechRecognitionKinect> plugin1 = PluginsCatalog.mefContainer.GetExports <ISpeechRecognitionKinect>("SpeechLib.Recognition.KinectV1").FirstOrDefault();
speechRecognition = speechRecognitionKinect = (plugin1 != null) ? plugin1.Value : null;
if (speechRecognition == null) //SpeechRecognitionKinect plugin couldn't be loaded, try to fallback to the SpeechRecognition one (which uses the default audio source as input)
{
Lazy <ISpeechRecognition> plugin2 = PluginsCatalog.mefContainer.GetExports <ISpeechRecognition>("SpeechLib.Recognition").FirstOrDefault();
speechRecognition = (plugin2 != null) ? plugin2.Value : null;
}
if (speechRecognition != null)
{
StartSpeechRecognition();
}
}
public AudioController(IDataRepository <Audio> audioRepository,
ISpeechRecognition speechRecognition,
IConfiguration configuration,
IUnitOfWork unitOfWork,
IMapper mapper)
{
Guard.Against.Null(audioRepository, nameof(audioRepository));
Guard.Against.Null(speechRecognition, nameof(speechRecognition));
Guard.Against.Null(configuration, nameof(configuration));
Guard.Against.Null(unitOfWork, nameof(unitOfWork));
Guard.Against.Null(mapper, nameof(mapper));
_audioRepository = audioRepository;
_speechRecognition = speechRecognition;
_configuration = configuration;
_unitOfWork = unitOfWork;
_mapper = mapper;
_subDirectory = Resources.SubDirectory;
}
public KebabManager(ISpeechRecognition speechRecognition, ITextAnalyzer textAnalyzer)
{
_speechRecognition = speechRecognition;
_textAnalyzer = textAnalyzer;
}
public ConvBot(TelegramProvider b, TgLog l, ISpeechRecognition speech)
{
bot = b.bot;
tgLog = l;
YaSpeech = speech;
}
public AudioSocket(IConfiguration config, ISpeechRecognition speech, ILogger <AudioSocket> logger)
{
this.speech = speech;
this.config = config;
this.logger = logger;
}
//called by LoadSpeechRecognitionPlugin
/// <summary>
/// Starts the speech recognition.
/// </summary>
protected void StartSpeechRecognition()
{
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);
}
}
