DetectionConfigurationTrainingStatus Enum

Reference

Definition

Namespace:: Windows.ApplicationModel.ConversationalAgent

Important

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Edit

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

Note

These determinations are made by the training algorithms of an individual signal detector and may be specific to the hardware or software implementations of the detector.

public enum class DetectionConfigurationTrainingStatus

/// [Windows.Foundation.Metadata.ContractVersion(Windows.Foundation.UniversalApiContract, 655360)]
enum class DetectionConfigurationTrainingStatus

[Windows.Foundation.Metadata.ContractVersion(typeof(Windows.Foundation.UniversalApiContract), 655360)]
public enum DetectionConfigurationTrainingStatus

var value = Windows.ApplicationModel.ConversationalAgent.DetectionConfigurationTrainingStatus.success

Public Enum DetectionConfigurationTrainingStatus

Inheritance: Enum
DetectionConfigurationTrainingStatus

Attributes: ContractVersionAttribute

Windows requirements

Device family	Windows 10, version 2004 (introduced in 10.0.19041.0)
API contract	Windows.Foundation.UniversalApiContract (introduced in v10.0)

Fields

ConfigurationNotFound	9	The request failed because a configuration with the specified parameters was not found.
FormatNotSupported	1	Training data format is not recognized by the signal detector.
Success	0	Signal detection training was successful.
TrainingSystemInternalError	7	An internal error, unrelated to the input data format, was encountered during signal detection training.
TrainingTimedOut	8	Training process took too long and has timed out. Any training data provided during this training cycle is discarded.
VoiceQualityProblem	6	Training data cannot be processed by the signal detector due to poor quality of speech input.
VoiceTooFast	4	Training data cannot be processed by the signal detector due to user speaking too fast.
VoiceTooLoud	3	Training data cannot be processed by the signal detector due to user speaking too loudly.
VoiceTooQuiet	2	Training data cannot be processed by the signal detector due to user speaking too quietly.
VoiceTooSlow	5	Training data cannot be processed by the signal detector due to user speaking too slowly.

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