Merge branch 'main' into docs-editor/dsv6-ddsv6-series-1714584178

Author: misha-bansal

.openpublishing.redirection.baremetal-infrastructure.json

@@ -134,6 +134,11 @@
             "source_path_from_root": "/articles/baremetal-infrastructure/workloads/sap/baremetal-overview-architecture.md",
             "redirect_url": "/azure/baremetal-infrastructure/concepts-baremetal-infrastructure-overview",
             "redirect_document_id": false
-        }
+        },
+        {
+            "source_path": "articles/baremetal-infrastructure/workloads/nc2-on-azure/solution-design.md",
+            "redirect_url": "/azure/baremetal-infrastructure/workloads/nc2-on-azure/architecture",
+            "redirect_document_id": false
+        }       
     ]
 }

.openpublishing.redirection.json

@@ -1189,6 +1189,16 @@
             "redirect_url": "/azure/azure-maps/",
             "redirect_document_id": true
         },
+        {
+            "source_path_from_root": "/articles/azure-maps/tutorial-creator-indoor-maps.md",
+            "redirect_url": "/azure/azure-maps/creator-indoor-maps",
+            "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/azure-maps/about-creator.md",
+            "redirect_url": "/azure/azure-maps/creator-indoor-maps",
+            "redirect_document_id": true
+        },
         {
             "source_path_from_root": "/articles/azure-maps/search-categories.md",
             "redirect_url": "/azure/azure-maps/supported-search-categories",

.openpublishing.redirection.operator-nexus.json

@@ -29,6 +29,11 @@
             "source_path_from_root": "/articles/operator-nexus/template-cloud-native-network-function-deployment.md",
             "redirect_url": "/azure/operator-nexus/quickstarts-kubernetes-cluster-deployment-cli",
             "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/operator-nexus/concepts-nexus-network.md",
+            "redirect_url": "/azure/operator-nexus/concepts-nexus-networking",
+            "redirect_document_id": false
         }
     ]
-}
+}

articles/ai-services/openai/how-to/deployment-types.md

@@ -33,7 +33,7 @@ Azure OpenAI offers three types of deployments. These provide a varied level of
 | **Best suited for**      | Applications that don’t require data residency. Recommended starting place for customers. | For customers with data residency requirements. Optimized for low to medium volume. | Real-time scoring for large consistent volume. Includes the highest commitments and limits.|
 | **How it works**         | Traffic may be routed anywhere in the world | | |
 | **Getting started**      | [Model deployment](./create-resource.md) | [Model deployment](./create-resource.md) | [Provisioned onboarding](./provisioned-throughput-onboarding.md) |
-| **Cost**                 | [Baseline](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) | [Regional Pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) | May experience cost savings for consistent usage |
+| **Cost**                 | [Global deployment pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) | [Regional pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) | May experience cost savings for consistent usage |
 | **What you get**         | Easy access to all new models with highest default pay-per-call limits.<br><br> Customers with high volume usage may see higher latency variability | Easy access with [SLA on availability](https://azure.microsoft.com/support/legal/sla/). Optimized for low to medium volume workloads with high burstiness. <br><br>Customers with high consistent volume may experience greater latency variability. | Regional access with very high & predictable throughput. Determine throughput per PTU using the provided [capacity calculator](./provisioned-throughput-onboarding.md#estimate-provisioned-throughput-and-cost) |
 | **What you don’t get**   | ❌Data residency guarantees | ❌High volume w/consistent low latency | ❌Pay-per-call flexibility |
 | **Per-call Latency**     | Optimized for real-time calling & low to medium volume usage. Customers with high volume usage may see higher latency variability. Threshold set per model | Optimized for real-time calling & low to medium volume usage. Customers with high volume usage may see higher latency variability. Threshold set per model | Optimized for real-time. |

articles/ai-services/speech-service/fast-transcription-create.md

@@ -21,7 +21,7 @@ ms.date: 7/12/2024
 Fast transcription API is used to transcribe audio files with returning results synchronously and much faster than real-time audio. Use fast transcription in the scenarios that you need the transcript of an audio recording as quickly as possible with predictable latency, such as: 
 
 - Quick audio or video transcription, subtitles, and edit. 
-- Video dubbing  
+- Video translation
 
 > [!TIP]
 > Try out fast transcription in [Azure AI Studio](https://aka.ms/fasttranscription/studio).
@@ -261,5 +261,6 @@ The response will include `duration`, `channel`, and more. The `combinedPhrases`
 
 ## Related content
 
-- [Speech to text quickstart](./get-started-speech-to-text.md)
-- [Batch transcription API](./batch-transcription.md)
+- [Fast transcription REST API reference](/rest/api/speechtotext/transcriptions/transcribe)
+- [Speech to text supported languages](./language-support.md?tabs=stt)
+- [Batch transcription](./batch-transcription.md)

articles/ai-services/speech-service/includes/release-notes/release-notes-tts.md

@@ -797,7 +797,7 @@ Visit the [Audio Content Creation tool](https://speech.microsoft.com/audioconten
 
 #### New features
 - Jenny supports a new `newscast` style. See [how to use the speaking styles in SSML](../../speech-synthesis-markup-voice.md#use-speaking-styles-and-roles).
-- **Neural voices upgraded to HiFiNet vocoder, with higher audio fidelity and faster synthesis speed**. This benefits customers whose scenario relies on hi-fi audio or long interactions, including video dubbing, audio books, or online education materials. [Read more about the story and hear the voice samples on our tech community blog](https://techcommunity.microsoft.com/t5/azure-ai/azure-neural-tts-upgraded-with-hifinet-achieving-higher-audio/ba-p/1847860)
+- **Neural voices upgraded to HiFiNet vocoder, with higher audio fidelity and faster synthesis speed**. This benefits customers whose scenario relies on hi-fi audio or long interactions, including video translation, audio books, or online education materials. [Read more about the story and hear the voice samples on our tech community blog](https://techcommunity.microsoft.com/t5/azure-ai/azure-neural-tts-upgraded-with-hifinet-achieving-higher-audio/ba-p/1847860)
 - **[Custom voice](https://speech.microsoft.com/customvoice) & [Audio Content Creation Studio](https://speech.microsoft.com/audiocontentcreation) localized to 17 locales**. Users can easily switch the UI to a local language for a more friendly experience.
 - **Audio Content Creation**: Added style degree control for XiaoxiaoNeural; Refined the customized break feature to include incremental breaks of 50ms.
 

articles/ai-services/speech-service/language-support.md

@@ -47,6 +47,10 @@ To improve Speech to text recognition accuracy, customization is available for s
 
 These are the locales that support the [display text format feature](./how-to-custom-speech-display-text-format.md): da-DK, de-DE, en-AU, en-CA, en-GB, en-HK, en-IE, en-IN, en-NG, en-NZ, en-PH, en-SG, en-US, es-ES, es-MX, fi-FI, fr-CA, fr-FR, hi-IN, it-IT, ja-JP, ko-KR, nb-NO, nl-NL, pl-PL, pt-BR, pt-PT, sv-SE, tr-TR, zh-CN, zh-HK.
 
+### Fast transcription
+
+The supported locales for the [fast transcription API](fast-transcription-create.md) are: en-US, es-ES, es-MX, fr-FR, hi-IN, it-IT, ja-JP, ko-KR, pt-BR, and zh-CN. You can only specify one locale per transcription request.
+
 # [Text to speech](#tab/tts)
 
 The table in this section summarizes the locales and voices supported for Text to speech. See the table footnotes for more details.

articles/ai-services/speech-service/overview.md

@@ -63,7 +63,7 @@ With [real-time speech to text](get-started-speech-to-text.md), the audio is tra
 Fast transcription API is used to transcribe audio files with returning results synchronously and much faster than real-time audio. Use fast transcription in the scenarios that you need the transcript of an audio recording as quickly as possible with predictable latency, such as: 
 
 - Quick audio or video transcription, subtitles, and edit. 
-- Video dubbing  
+- Video translation 
 
 > [!NOTE]
 > Fast transcription API is only available via the speech to text REST API version 3.3. 

articles/ai-services/speech-service/rest-speech-to-text.md

@@ -21,17 +21,18 @@ Speech to text REST API is used for [batch transcription](batch-transcription.md
 > Speech to text REST API v3.0 will be retired on April 1st, 2026. For more information about upgrading, see the Speech to text REST API [v3.0 to v3.1](migrate-v3-0-to-v3-1.md) and [v3.1 to v3.2](migrate-v3-1-to-v3-2.md) migration guides.
 
 > [!div class="nextstepaction"]
-> [See the Speech to text REST API v3.2 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.2&preserve-view=true)
+> [See the Speech to text REST API 2024-05-15 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-2024-05-15-preview&preserve-view=true)
 
 > [!div class="nextstepaction"]
-> [See the Speech to text REST API v3.1 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.1&preserve-view=true)
+> [See the Speech to text REST API v3.2 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.2&preserve-view=true)
 
 > [!div class="nextstepaction"]
-> [See the Speech to text REST API v3.0 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.0&preserve-view=true)
+> [See the Speech to text REST API v3.1 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.1&preserve-view=true)
 
 Use Speech to text REST API to:
 
-- [Custom speech](custom-speech-overview.md): With custom speech, you can upload your own data, test and train a custom model, compare accuracy between models, and deploy a model to a custom endpoint. Copy models to other subscriptions if you want colleagues to have access to a model that you built, or if you want to deploy a model to more than one region.
+- [Fast transcription](fast-transcription-create.md): Transcribe audio files with returning results synchronously and much faster than real-time audio. Use the fast transcription API ([/speechtotext/transcriptions:transcribe](/rest/api/speechtotext/transcriptions/transcribe)) in the scenarios that you need the transcript of an audio recording as quickly as possible with predictable latency, such as quick audio or video transcription or video translation.
+- [Custom speech](custom-speech-overview.md): Upload your own data, test and train a custom model, compare accuracy between models, and deploy a model to a custom endpoint. Copy models to other subscriptions if you want colleagues to have access to a model that you built, or if you want to deploy a model to more than one region.
 - [Batch transcription](batch-transcription.md): Transcribe audio files as a batch from multiple URLs or an Azure container. 
 
 Speech to text REST API includes such features as:

articles/ai-services/speech-service/speech-synthesis-markup-voice.md

@@ -118,7 +118,7 @@ The following table describes each supported `style` attribute:
 |`style="customerservice"`|Expresses a friendly and helpful tone for customer support.|
 |`style="depressed"`|Expresses a melancholic and despondent tone with lower pitch and energy.|
 |`style="disgruntled"`|Expresses a disdainful and complaining tone. Speech of this emotion displays displeasure and contempt.|
-|`style="documentary-narration"`|Narrates documentaries in a relaxed, interested, and informative style suitable for dubbing documentaries, expert commentary, and similar content.|
+|`style="documentary-narration"`|Narrates documentaries in a relaxed, interested, and informative style suitable for documentaries, expert commentary, and similar content.|
 |`style="embarrassed"`|Expresses an uncertain and hesitant tone when the speaker is feeling uncomfortable.|
 |`style="empathetic"`|Expresses a sense of caring and understanding.|
 |`style="envious"`|Expresses a tone of admiration when you desire something that someone else has.|