ActivationSignalDetectionConfiguration.ApplyTrainingDataAsync Method

Reference

Definition

Namespace:: Windows.ApplicationModel.ConversationalAgent

Important

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Edit

Asynchronously provides input data in the specified format and attempts to complete a training step (if a training process is available for the signal detector of this configuration).

public:
 virtual IAsyncOperation<DetectionConfigurationTrainingStatus> ^ ApplyTrainingDataAsync(ActivationSignalDetectionTrainingDataFormat trainingDataFormat, IInputStream ^ trainingData) = ApplyTrainingDataAsync;

/// [Windows.Foundation.Metadata.RemoteAsync]
IAsyncOperation<DetectionConfigurationTrainingStatus> ApplyTrainingDataAsync(ActivationSignalDetectionTrainingDataFormat const& trainingDataFormat, IInputStream const& trainingData);

[Windows.Foundation.Metadata.RemoteAsync]
public IAsyncOperation<DetectionConfigurationTrainingStatus> ApplyTrainingDataAsync(ActivationSignalDetectionTrainingDataFormat trainingDataFormat, IInputStream trainingData);

function applyTrainingDataAsync(trainingDataFormat, trainingData)

Public Function ApplyTrainingDataAsync (trainingDataFormat As ActivationSignalDetectionTrainingDataFormat, trainingData As IInputStream) As IAsyncOperation(Of DetectionConfigurationTrainingStatus)

Parameters

trainingDataFormat: ActivationSignalDetectionTrainingDataFormat

The voice training data formats supported by the ActivationSignalDetector for the digital assistant.

trainingData: IInputStream

The voice training data.

Returns

IAsyncOperation<DetectionConfigurationTrainingStatus>

The voice training data states recognized by the ActivationSignalDetector for the digital assistant.

Attributes: RemoteAsyncAttribute

Remarks

Digital assistant applications can train keyword detectors to more accurately recognize an individual user's voice by algorithmically applying customizations to the detector based on speech data. For example, training a spoken keyword detector to only detect the keyword when spoken by a specific person.

This is achieved through a series of ActivationSignalDetectionConfiguration training steps, where each step consumes a logical fragment of speech input data.

Applies to

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