/// <summary>
/// Picovoice 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>
public static Picovoice Create(string keywordPath, Action wakeWordCallback,
string contextPath, Action <Inference> inferenceCallback,
string porcupineModelPath = null, float porcupineSensitivity = 0.5f,
string rhinoModelPath = null, float rhinoSensitivity = 0.5f)
{
Porcupine porcupine = Porcupine.Create(keywordPaths: new List <string> {
keywordPath
},
modelPath: porcupineModelPath,
sensitivities: new List <float> {
porcupineSensitivity
});
Rhino rhino = Rhino.Create(contextPath: contextPath,
modelPath: rhinoModelPath,
sensitivity: rhinoSensitivity);
if (porcupine.FrameLength != rhino.FrameLength)
{
throw new ArgumentException("Porcupine and Rhino frame lengths are different");
}
if (porcupine.SampleRate != rhino.SampleRate)
{
throw new ArgumentException("Porcupine and Rhino sample rate are different");
}
return(new Picovoice(porcupine, wakeWordCallback, rhino, inferenceCallback));
}
/// <summary>
/// Creates an instance of Rhino inference engine with built-in audio processing
/// </summary>
/// <param name="contextPath">Absolute path to the Rhino context file (.rhn).</param>
/// <param name="inferenceCallback">A callback for when Rhino has made an intent inference.</param>
/// <param name="modelPath">(Optional) Absolute path to the file containing model parameters. If not set it will be set to the default location.</param>
/// <param name="sensitivity">
/// (Optional) Inference sensitivity. A higher sensitivity value results in
/// fewer misses at the cost of (potentially) increasing the erroneous inference rate.
/// Sensitivity should be a floating-point number within 0 and 1.
/// </param>
/// <param name="errorCallback">(Optional) Callback that triggers is the engine experiences a problem while processing audio.</param>
/// <returns>An instance of RhinoManager.</returns>
public static RhinoManager Create(string contextPath, Action <Inference> inferenceCallback,
string modelPath = null, float sensitivity = 0.5f,
Action <Exception> errorCallback = null)
{
Rhino rhino = Rhino.Create(contextPath, modelPath: modelPath, sensitivity: sensitivity);
return(new RhinoManager(rhino, inferenceCallback, errorCallback));
}
// 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 Picovoice(Porcupine porcupine, Action wakeWordCallback, Rhino rhino, Action <Inference> inferenceCallback)
{
_porcupine = porcupine;
_wakeWordCallback = wakeWordCallback;
_rhino = rhino;
_inferenceCallback = inferenceCallback;
FrameLength = porcupine.FrameLength;
SampleRate = porcupine.SampleRate;
PorcupineVersion = porcupine.Version;
RhinoVersion = rhino.Version;
ContextInfo = rhino.ContextInfo;
}
/// <summary>
/// Creates an instance of Rhino inference engine with built-in audio processing
/// </summary>
/// <param name="accessKey">AccessKey obtained from Picovoice Console (https://console.picovoice.ai/).</param>
/// <param name="contextPath">Absolute path to the Rhino context file (.rhn).</param>
/// <param name="inferenceCallback">A callback for when Rhino has made an intent inference.</param>
/// <param name="modelPath">(Optional) Absolute path to the file containing model parameters. If not set it will be set to the default location.</param>
/// <param name="sensitivity">
/// (Optional) Inference sensitivity. A higher sensitivity value results in
/// fewer misses at the cost of (potentially) increasing the erroneous inference rate.
/// Sensitivity should be a floating-point number within 0 and 1.
/// </param>
/// <param name="requireEndpoint">
/// (Optional) Boolean variable to indicate if Rhino should wait for a chunk of silence before finishing inference.
/// </param>
/// <param name="processErrorCallback">(Optional) Reports errors that are encountered while the engine is processing audio.</returns>
public static RhinoManager Create(
string accessKey,
string contextPath,
Action <Inference> inferenceCallback,
string modelPath = null,
float sensitivity = 0.5f,
bool requireEndpoint = true,
Action <RhinoException> processErrorCallback = null)
{
Rhino rhino = Rhino.Create(accessKey, contextPath, modelPath: modelPath, sensitivity: sensitivity, requireEndpoint: requireEndpoint);
return(new RhinoManager(rhino, inferenceCallback, processErrorCallback));
}
/// <summary>
/// Frees memory that was allocated for Picovoice
/// </summary>
public void Dispose()
{
if (_porcupine != null)
{
_porcupine.Dispose();
_porcupine = 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 (_rhino != null)
{
_rhino.Dispose();
_rhino = null;
}
}
