void Start()
{
_voiceProcessor = VoiceProcessor.Instance;
_voiceProcessor.OnFrameCaptured += AnalyzeMicSignal;
_videoPlayer = gameObject.GetComponentInChildren<VideoPlayer>();
MeshRenderer[] meshes = gameObject.GetComponentsInChildren<MeshRenderer>();
_border = meshes.First(x=>x.name == "Border");
_screenOverlay = meshes.First(x => x.name == "ScreenOverlay");
Component[] objs = gameObject.GetComponentsInChildren<Component>();
_timeline = objs.First(x => x.name == "TimelinePivot");
_timelineFull = objs.First(x => x.name == "TimelineFullPivot");
_timeline.transform.localScale = new Vector3(0, 0.2f, 1);
_timelineFull.transform.localScale = new Vector3(1, 0.2f, 1);
_volume = objs.First(x => x.name == "VolumePivot");
_volumeFull = objs.First(x => x.name == "VolumeFullPivot");
_volume.transform.localScale = new Vector3(1, 0, 1);
_volumeFull.transform.localScale = new Vector3(1, 0, 1);
_stateIcons = gameObject.GetComponentsInChildren<SpriteRenderer>().ToDictionary(x => x.name);
_playbackSpeedText = gameObject.GetComponentsInChildren<TextMeshPro>().First(x=>x.name == "PlaybackSpeed");
_notificationText = gameObject.GetComponentsInChildren<Text>().First(x => x.name == "NotificationText");
_notificationText.text = "Say 'Porcupine, what can I say?' for help";
_notificationPanel = gameObject.GetComponentsInChildren<Image>().First(x => x.name == "NotificationPanel");
_helpCanvas = gameObject.GetComponentsInChildren<Canvas>().First(x => x.name == "HelpCanvas");
_picovoiceManager = new PicovoiceManager(_keywordPath, OnWakeWordDetected, _contextPath, OnInferenceResult);
StartCoroutine(FadeIntroNotification());
}
public string voiceCommand2 = "uno"; //"izquierda";
// Start is called before the first frame update
void Start()
{
VoiceProcessor commandProcessor = GameObject.FindObjectOfType <VoiceProcessor>();
commandProcessor.onVoiceCommandRecognized += OnVoiceCommandRecognized;
controller = GetComponent <CharacterController>();
}
// private constructor
private PicovoiceManager(Picovoice picovoice, Action <Exception> errorCallback = null)
{
_picovoice = picovoice;
_errorCallback = errorCallback;
_voiceProcessor = VoiceProcessor.Instance;
_voiceProcessor.OnFrameCaptured += OnFrameCaptured;
}
// private constructor
private RhinoManager(Rhino rhino, Action <Inference> inferenceCallback, Action <Exception> errorCallback = null)
{
_rhino = rhino;
_inferenceCallback = inferenceCallback;
_errorCallback = errorCallback;
_voiceProcessor = VoiceProcessor.Instance;
_voiceProcessor.OnFrameCaptured += OnFrameCaptured;
}
// private constructor
private PorcupineManager(Porcupine porcupine, Action <int> wakeWordCallback, Action <Exception> errorCallback = null)
{
_porcupine = porcupine;
_wakeWordCallback = wakeWordCallback;
_errorCallback = errorCallback;
_voiceProcessor = VoiceProcessor.Instance;
_voiceProcessor.OnFrameCaptured += OnFrameCaptured;
}
void Start()
{
_scriptManager = FindObjectOfType <ScriptManager> ();
_scriptReader = FindObjectOfType <ScriptReader> ();
_voiceProcessor = FindObjectOfType <VoiceProcessor> ();
_director = FindObjectOfType <Director> ();
_player = FindObjectOfType <Player> ();
_responseChecker = FindObjectOfType <ScriptResponseChecker> ();
_scoreManager = FindObjectOfType <ScoreManager> ();
_scriptManager.LoadScript(SelectedScriptIndex);
}
void Start()
{
LogSystem.InstallDefaultReactors();
_dataController = FindObjectOfType <DataController> ();
_voiceProcessor = FindObjectOfType <VoiceProcessor> ();
CredentialData serviceCredentials = _dataController.GetServiceCredentials();
ServiceCredential textToSpeechCredential = serviceCredentials.textToSpeechCredential;
Credentials credentials = new Credentials(textToSpeechCredential.username, textToSpeechCredential.password, textToSpeechCredential.url);
_textToSpeech = new TextToSpeech(credentials);
}
/// <summary>
/// PicovoiceManager constructor
/// </summary>
/// <param name="keywordPath">Absolute path to Porcupine's keyword model file.</param>
/// <param name="wakeWordCallback">
/// User-defined callback invoked upon detection of the wake phrase.
/// The callback accepts no input arguments.
/// </param>
/// <param name="contextPath">
/// Absolute path to file containing context parameters. A context represents the set of
/// expressions(spoken commands), intents, and intent arguments(slots) within a domain of interest.
/// </param>
/// <param name="inferenceCallback">
/// User-defined callback invoked upon completion of intent inference. The callback
/// accepts a single input argument of type `Map<String, dynamic>` that is populated with the following items:
/// (1) IsUnderstood: whether Rhino understood what it heard based on the context
/// (2) Intent: if isUnderstood, name of intent that were inferred
/// (3) Slots: if isUnderstood, dictionary of slot keys and values that were inferred
/// </param>
/// <param name="porcupineModelPath">Absolute path to the file containing Porcupine's model parameters.</param>
/// <param name="porcupineSensitivity">
/// Wake word detection sensitivity. It should be a number within [0, 1]. A higher
/// sensitivity results in fewer misses at the cost of increasing the false alarm rate.
/// </param>
/// <param name="rhinoModelPath">Absolute path to the file containing Rhino's model parameters.</param>
/// <param name="rhinoSensitivity">
/// Inference sensitivity. It should be a number within [0, 1]. A higher sensitivity value
/// results in fewer misses at the cost of(potentially) increasing the erroneous inference rate.
/// </returns>
/// <param name="errorCallback">Callback that triggers is the engine experiences a problem while processing audio.</param>
/// <returns>An instance of PicovoiceManager.</returns>
public PicovoiceManager(string keywordPath, Action wakeWordCallback,
string contextPath, Action <Inference> inferenceCallback,
string porcupineModelPath = null, float porcupineSensitivity = 0.5f,
string rhinoModelPath = null, float rhinoSensitivity = 0.5f,
Action <Exception> errorCallback = null)
{
_keywordPath = keywordPath;
_wakeWordCallback = wakeWordCallback;
_contextPath = contextPath;
_inferenceCallback = inferenceCallback;
_porcupineModelPath = porcupineModelPath;
_porcupineSensitivity = porcupineSensitivity;
_rhinoModelPath = rhinoModelPath;
_rhinoSensitivity = rhinoSensitivity;
_errorCallback = errorCallback;
_voiceProcessor = VoiceProcessor.Instance;
}
/// <summary>
/// Free resources that were allocated to Porcupine and the voice processor
/// </summary>
public void Delete()
{
if (_voiceProcessor != null)
{
if (_voiceProcessor.IsRecording)
{
_voiceProcessor.StopRecording();
}
_voiceProcessor.OnFrameCaptured -= OnFrameCaptured;
_voiceProcessor = null;
}
if (_rhino != null)
{
_rhino.Dispose();
_rhino = null;
}
}
/// <summary>
/// Free resources that were allocated to Porcupine and the voice processor
/// </summary>
public void Delete()
{
if (_voiceProcessor != null)
{
if (_voiceProcessor.IsRecording)
{
_voiceProcessor.StopRecording();
}
_voiceProcessor.OnFrameCaptured -= OnFrameCaptured;
_voiceProcessor = null;
}
if (_picovoice != null)
{
_picovoice.Dispose();
_picovoice = null;
}
}