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.openpublishing.redirection.azure-datalake-storage-gen1.json

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"source_path": "articles/data-lake-store/security-controls-policy.md",
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"redirect_url": "/previous-versions/azure/data-lake-store/security-controls-policy",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/blobs/data-lake-storage-migrate-gen1-to-gen2.md",
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"redirect_url": "/previous-versions/azure/storage/blobs/data-lake-storage-migrate-gen1-to-gen2",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/blobs/data-lake-storage-migrate-gen1-to-gen2-azure-portal.md",
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"redirect_url": "/previous-versions/azure/storage/blobs/data-lake-storage-migrate-gen1-to-gen2-azure-portal",
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"redirect_document_id": false
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}
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]

.openpublishing.redirection.json

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"redirect_url": "/azure/active-directory/conditional-access/concept-conditional-access-cloud-apps",
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"redirect_document_id": true
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},
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{
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"source_path_from_root": "/articles/role-based-access-control/deny-assignments-portal.md",
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"redirect_url": "/azure/role-based-access-control/deny-assignments",
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"redirect_document_id": true
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},
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{
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"source_path_from_root": "/articles/role-based-access-control/deny-assignments-powershell.md",
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"redirect_url": "/azure/role-based-access-control/deny-assignments",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/role-based-access-control/deny-assignments-rest.md",
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"redirect_url": "/azure/role-based-access-control/deny-assignments",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/scheduler/scheduler-intro.md",
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"redirect_url": "/azure/scheduler/migrate-from-scheduler-to-logic-apps",
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{
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"redirections": [
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{
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"source_path_from_root": "/articles/kubernetes-fleet/architectural-overview.md",
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"redirect_url": "/azure/kubernetes-fleet/concepts-fleet",
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"redirect_document_id": true
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}
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]
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}
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- name: Azure
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tocHref: /azure/
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topicHref: /azure/index
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items:
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- name: Azure AI services
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tocHref: /azure/ai-services/
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topicHref: /azure/ai-services/index
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### YamlMime:ContextObject
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brand: azure
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breadcrumb_path: ../breadcrumb/toc.yml
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toc_rel: ../toc.yml

articles/ai-services/document-intelligence/concept-layout.md

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The following illustration shows the typical components in an image of a sample page.
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:::image type="content" source="media/document-layout-example.png" alt-text="Illustration of document layout example.":::
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:::image type="content" source="media/document-layout-example-new.png" alt-text="Illustration of document layout example.":::
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## Development options
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articles/ai-services/document-intelligence/studio-overview.md

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[!INCLUDE [applies to v4.0 v3.1 v3.0](includes/applies-to-v40-v31-v30.md)]
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Document Intelligence Studio is an online tool to visually explore, understand, train, and integrate features from the Document Intelligence service into your applications. The studio provides a platform for you to experiment with the different Document Intelligence models and sample returned data in an interactive manner without the need to write code.
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[Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/) is an online tool for visually exploring, understanding, and integrating features from the Document Intelligence service into your applications. Use the Document Intelligence Studio to:
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[Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/) is an online tool to visually explore, understand, train, and integrate features from the Document Intelligence service into your applications. The studio provides a platform for you to experiment with the different Document Intelligence models and sample returned data in an interactive manner without the need to write code. Use the Document Intelligence Studio to:
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* Learn more about the different capabilities in Document Intelligence.
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* Use your Document Intelligence resource to test models on sample documents or upload your own documents.
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* Experiment with different add-on and preview features to adapt the output to your needs.

articles/ai-services/speech-service/call-center-telephony-integration.md

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Usually the telephony client handles the incoming audio stream from the SIP/RTP processor, the conversion to PCM and connects the streams using continuous recognition. It also triages the processing of the results, for example, analysis of speech transcripts for Agent Assist or connect with a dialog processing engine (for example, Azure Botframework or Power Virtual Agent) for Virtual Agent.
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For easier integration the Speech service also supports “ALAW in WAV container” and “MULAW in WAV container” for audio streaming.
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For easier integration the Speech service also supports “ALAW in WAV container” and “MULAW in WAV container” for audio streaming. To build this integration, we recommend using the [Speech SDK](./speech-sdk.md).
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To build this integration we recommend using the [Speech SDK](./speech-sdk.md).
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## Azure Communication Services
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> [!TIP]
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> For guidance on reducing Text to speech latency check out the **[How to lower speech synthesis latency](./how-to-lower-speech-synthesis-latency.md?pivots=programming-language-csharp)** guide.
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>
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> In addition, consider implementing a text to speech cache to store all synthesized audio and playback from the cache in case a string has previously been synthesized.
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[Azure Communication Services](../../communication-services/overview.md) call automation APIs provide telephony integration. real-time event triggers to perform actions based on custom business logic specific to their domain. Within the Call Automation APIs developers can use simple AI powered APIs, which can be used to play personalized greeting messages, recognize conversational voice inputs to gather information on contextual questions to drive a more self-service model with customers, use sentiment analysis to improve customer service overall. These content specific APIs are orchestrated through Azure AI services with support for customization of AI models without developers needing to terminate media streams on their services and streaming back to Azure for AI functionality. For more information, see [Azure Communication Services](../../communication-services/concepts/call-automation/azure-communication-services-azure-cognitive-services-integration.md?context=/azure/ai-services/speech-service/context/context).
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## Next steps
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articles/ai-services/speech-service/how-to-get-speech-session-id.md

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> [!WARNING]
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> The value of the parameter `X-ConnectionId` should be in the format of GUID without dashes or other dividers. All other formats aren't supported and will be discarded by the Service.
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>
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> Example. If the request contains `X-ConnectionId=9f4ffa51-13a8-46eb-a289-aa98b28e766f` (GUID with dividers) or `X-ConnectionId=Request9f4ffa5113a846eba289aa98b28e766f` (non-GUID) then the value of `X-ConnectionId` will not be accepted by the system, and the Session won't be found in the logs.
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> Example. If the request contains expressions like these:
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>
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> - `X-ConnectionId=9f4ffa51-13a8-46eb-a289-aa98b28e766f` (GUID with dividers)
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> - `X-ConnectionId=Request9f4ffa5113a846eba289aa98b28e766f` (non-GUID)
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> - `X-ConnectionId=5948f700d2a811ee` (non-GUID)
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>
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>then the value of `X-ConnectionId` will not be accepted by the system, and the Session won't be found in the logs.
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## Getting Transcription ID for Batch transcription
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