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detectionconfigurationtrainingstatus.md

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-api-id -api-type
T:Windows.ApplicationModel.ConversationalAgent.DetectionConfigurationTrainingStatus
winrt enum

Windows.ApplicationModel.ConversationalAgent.DetectionConfigurationTrainingStatus

-description

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.

-enum-fields

-field Success:0

Signal detection training was successful.

-field FormatNotSupported:1

Training data format is not recognized by the signal detector.

-field VoiceTooQuiet:2

Training data cannot be processed by the signal detector due to user speaking too quietly.

-field VoiceTooLoud:3

Training data cannot be processed by the signal detector due to user speaking too loudly.

-field VoiceTooFast:4

Training data cannot be processed by the signal detector due to user speaking too fast.

-field VoiceTooSlow:5

Training data cannot be processed by the signal detector due to user speaking too slowly.

-field VoiceQualityProblem:6

Training data cannot be processed by the signal detector due to poor quality of speech input.

-field TrainingSystemInternalError:7

An internal error, unrelated to the input data format, was encountered during signal detection training.

-field TrainingTimedOut: 8

Training process took too long and has timed out. Any training data provided during this training cycle is discarded.

-field ConfigurationNotFound: 9

The request failed because a configuration with the specified parameters was not found.

-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.

-see-also

ActivationSignalDetectionConfiguration.ApplyTrainingData, ActivationSignalDetectionConfiguration.ApplyTrainingDataAsync

-examples