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Copy file name to clipboardExpand all lines: articles/ai-services/language-service/custom-text-classification/includes/rest-api/unassign-resources.md
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@@ -49,7 +49,7 @@ Use the following sample JSON as your body.
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|Key |Placeholder |Value | Example |
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|---------|---------|----------|--|
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|`assignedResourceIds`|`{AZURE-RESOURCE-ID}`| The full resource ID path you want to unassign. Found in the Azure portal under the _Properties_ tab for the resource as the _Resource ID_ field. |`/subscriptions/aaaa0a0a-bb1b-cc2c-dd3d-eeeeee4e4e4e/resourceGroups/ContosoResourceGroup/providers/Microsoft.CognitiveServices/accounts/ContosoResource`|
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|`assignedResourceIds`|`{AZURE-RESOURCE-ID}`| The full resource ID path you want to unassign. Found in the Azure portal under the _Properties_ tab for the resource as the _Resource ID_ field. |`/subscriptions/a0a0a0a0-bbbb-cccc-dddd-e1e1e1e1e1e1/resourceGroups/ContosoResourceGroup/providers/Microsoft.CognitiveServices/accounts/ContosoResource`|
Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/how-to-custom-speech-create-project.md
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@@ -116,7 +116,7 @@ To get the project ID for a custom speech project in [Speech Studio](https://aka
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1. Inspect the URL in your browser. The project ID is part of the URL. For example, the project ID is `00001111-aaaa-2222-bbbb-3333cccc4444` in the following URL:
Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/how-to-custom-speech-model-and-endpoint-lifecycle.md
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@@ -87,7 +87,7 @@ To get the training and transcription expiration dates for a base model, use the
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Here's an example Speech CLI command to get the training and transcription expiration dates for a base model:
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```azurecli-interactive
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spx csr model status --api-version v3.2 --model https://eastus.api.cognitive.microsoft.com/speechtotext/v3.1/models/base/b0bbc1e0-78d5-468b-9b7c-a5a43b2bb83f
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spx csr model status --api-version v3.2 --model https://eastus.api.cognitive.microsoft.com/speechtotext/v3.1/models/base/aaaabbbb-0000-cccc-1111-dddd2222eeee
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```
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> [!IMPORTANT]
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Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/how-to-custom-speech-train-model.md
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@@ -87,7 +87,7 @@ To create a model with datasets for training, use the `spx csr model create` com
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- Set the required `dataset` property to the ID of a dataset that you want used for training. To specify multiple datasets, set the `datasets` (plural) parameter and separate the IDs with a semicolon.
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- Set the required `language` property. The dataset locale must match the locale of the project. The locale can't be changed later. The Speech CLI `language` property corresponds to the `locale` property in the JSON request and response.
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- Set the required `name` property. This parameter is the name that is displayed in the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs). The Speech CLI `name` property corresponds to the `displayName` property in the JSON request and response.
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- Optionally, you can set the `base` property. For example: `--base 5988d691-0893-472c-851e-8e36a0fe7aaf`. If you don't specify the `base`, the default base model for the locale is used. The Speech CLI `base` property corresponds to the `baseModel` property in the JSON request and response.
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- Optionally, you can set the `base` property. For example: `--base bbbbcccc-1111-dddd-2222-eeee3333ffff`. If you don't specify the `base`, the default base model for the locale is used. The Speech CLI `base` property corresponds to the `baseModel` property in the JSON request and response.
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Here's an example Speech CLI command that creates a model with datasets for training:
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- Set the required `datasets` property to the URI of the datasets that you want used for training.
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- Set the required `locale` property. The model locale must match the locale of the project and base model. The locale can't be changed later.
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- Set the required `displayName` property. This property is the name that is displayed in the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs).
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- Optionally, you can set the `baseModel` property. For example: `"baseModel": {"self": "https://eastus.api.cognitive.microsoft.com/speechtotext/v3.2/models/base/5988d691-0893-472c-851e-8e36a0fe7aaf"}`. If you don't specify the `baseModel`, the default base model for the locale is used.
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- Optionally, you can set the `baseModel` property. For example: `"baseModel": {"self": "https://eastus.api.cognitive.microsoft.com/speechtotext/v3.2/models/base/bbbbcccc-1111-dddd-2222-eeee3333ffff"}`. If you don't specify the `baseModel`, the default base model for the locale is used.
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Make an HTTP POST request using the URI as shown in the following example. Replace `YourSpeechResoureKey` with your Speech resource key, replace `YourServiceRegion` with your Speech resource region, and set the request body properties as previously described.
The required Transcription ID is the GUID value contained in the main `self` element of the Response body returned by requests, like [Transcriptions - Submit](/rest/api/speechtotext/transcriptions/submit).
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The following is and example response body of a [Transcriptions - Submit](/rest/api/speechtotext/transcriptions/submit) request. GUID value `537216f8-0620-4a10-ae2d-00bdb423b36f` found in the first `self` element is the Transcription ID.
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The following is and example response body of a [Transcriptions - Submit](/rest/api/speechtotext/transcriptions/submit) request. GUID value `aaaabbbb-0000-cccc-1111-dddd2222eeee` found in the first `self` element is the Transcription ID.
Copy file name to clipboardExpand all lines: articles/ai-services/speech-service/includes/how-to/professional-voice/create-consent/rest.md
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The response header contains the `Operation-Location` property. Use this URI to get details about the [Consents_Create](/rest/api/aiservices/speechapi/consents/create) operation. Here's an example of the response header:
The response header contains the `Operation-Location` property. Use this URI to get details about the [TrainingSets_UploadData](/rest/api/aiservices/speechapi/training-sets/upload-data) operation. Here's an example of the response header:
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