ActivationSignalDetectionTrainingDataFormat Enum
Definition
Important
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Specifies the activation signal training data formats supported by the ActivationSignalDetector for the digital assistant.
public enum class ActivationSignalDetectionTrainingDataFormat/// [Windows.Foundation.Metadata.ContractVersion(Windows.Foundation.UniversalApiContract, 655360)]
enum class ActivationSignalDetectionTrainingDataFormat[Windows.Foundation.Metadata.ContractVersion(typeof(Windows.Foundation.UniversalApiContract), 655360)]
public enum ActivationSignalDetectionTrainingDataFormatvar value = Windows.ApplicationModel.ConversationalAgent.ActivationSignalDetectionTrainingDataFormat.voice8kHz8BitMonoPublic Enum ActivationSignalDetectionTrainingDataFormat- Inheritance
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ActivationSignalDetectionTrainingDataFormat
- Attributes
Windows requirements
| Device family |
Windows 10, version 2004 (introduced in 10.0.19041.0)
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| API contract |
Windows.Foundation.UniversalApiContract (introduced in v10.0)
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Fields
| Name | Value | Description |
|---|---|---|
| Voice8kHz8BitMono | 0 | Training data is voice audio in 8-bit 8kHz mono. |
| Voice8kHz16BitMono | 1 | Training data is voice audio in 16-bit 8kHz mono. |
| Voice16kHz8BitMono | 2 | Training data is voice audio in 8-bit 16kHz mono. |
| Voice16kHz16BitMono | 3 | Training data is voice audio in 16-bit 16kHz mono. |
| VoiceOEMDefined | 4 | Training data is voice audio is defined by an OEM. |
| Audio44kHz8BitMono | 5 | Training data is generic audio in 8-bit 44kHz mono. |
| Audio44kHz16BitMono | 6 | Training data is generic audio in 16-bit 44kHz mono. |
| Audio48kHz8BitMono | 7 | Training data is generic audio in 8-bit 48kHz mono. |
| Audio48kHz16BitMono | 8 | Training data is generic audio in 16-bit 48kHz mono. |
| AudioOEMDefined | 9 | Training data is generic audio in a format specified by a hardware provider. |
| OtherOEMDefined | 10 | Training data is in a format specified by a hardware provider. |
Remarks
Digital assistant applications can train keyword detectors to more accurately recognize an individual user's voice by applying algorithmic customizations to the detector based on speech data (the detector provides these customizations). 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.