Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into WI176764-fort-knox

Author: ElazarK

.openpublishing.redirection.json

@@ -1816,33 +1816,58 @@
       "redirect_document_id": true
     },
     {
-      "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-custom-voice-create-voice.md",
-      "redirect_url": "/azure/ai-services/speech-service/how-to-custom-voice-create-voice",
+      "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-custom-voice-training-data.md",
+      "redirect_url": "/azure/ai-services/speech-service/how-to-custom-voice-training-data",
       "redirect_document_id": true
     },
+    {
+      "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-custom-voice-create-voice.md",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-train-voice",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-custom-voice-prepare-data.md",
-      "redirect_url": "/azure/ai-services/speech-service/how-to-custom-voice-prepare-data",
-      "redirect_document_id": true
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-create-training-set",
+      "redirect_document_id": false
     },
     {
       "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-custom-voice-talent.md",
-      "redirect_url": "/azure/ai-services/speech-service/how-to-custom-voice-talent",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-create-consent",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-custom-voice.md",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-create-project",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-deploy-and-use-endpoint.md",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-deploy-endpoint",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/how-to-custom-voice-create-voice.md",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-train-voice",
       "redirect_document_id": true
     },
     {
-      "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-custom-voice-training-data.md",
-      "redirect_url": "/azure/ai-services/speech-service/how-to-custom-voice-training-data",
+      "source_path_from_root": "/articles/ai-services/speech-service/how-to-custom-voice-prepare-data.md",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-create-training-set",
       "redirect_document_id": true
     },
     {
-      "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-custom-voice.md",
-      "redirect_url": "/azure/ai-services/speech-service/how-to-custom-voice",
+      "source_path_from_root": "/articles/ai-services/speech-service/how-to-custom-voice-talent.md",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-create-consent",
       "redirect_document_id": true
     },
     {
-      "source_path_from_root": "/articles/cognitive-services/speech-service/how-to-deploy-and-use-endpoint.md",
-      "redirect_url": "/azure/ai-services/speech-service/how-to-deploy-and-use-endpoint",
+      "source_path_from_root": "/articles/ai-services/speech-service/how-to-custom-voice.md",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-create-project",
+      "redirect_document_id": true
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/how-to-deploy-and-use-endpoint.md",
+      "redirect_url": "/azure/ai-services/speech-service/professional-voice-deploy-endpoint",
       "redirect_document_id": true
     },
     {

articles/ai-services/.openpublishing.redirection.ai-services-from-cog.json

@@ -207,7 +207,7 @@ Connection: close
 After you add video files to the index, the ingestion process starts. It might take some time depending on the size and number of files. To ensure the ingestion is complete before performing searches, you can use the **[Get Ingestion](../reference-video-search.md)** API to check the status. Wait for this call to return `"state" = "Completed"` before proceeding to the next step. 
 
 ```bash
-curl.exe -v _X GET "https://<YOUR_ENDPOINT_URL>/computervision/retrieval/indexes/my-video-index/ingestions?api-version=2023-05-01-preview&$top=20" -H "ocp-apim-subscription-key: <YOUR_SUBSCRIPTION_KEY>"
+curl.exe -v -X GET "https://<YOUR_ENDPOINT_URL>/computervision/retrieval/indexes/my-video-index/ingestions?api-version=2023-05-01-preview&$top=20" -H "ocp-apim-subscription-key: <YOUR_SUBSCRIPTION_KEY>"
 ```
 
 **Response:**
@@ -242,7 +242,7 @@ After you add video files to the index, you can search for specific videos using
 To perform a search using the "vision" feature, use the [Search By Text](../reference-video-search.md) API with the `vision` filter, specifying the query text and any other desired filters.
 
 ```bash
-POST -v -X "https://<YOUR_ENDPOINT_URL>/computervision/retrieval/indexes/my-video-index:queryByText?api-version=2023-05-01-preview" -H "Ocp-Apim-Subscription-Key: <YOUR_SUBSCRIPTION_KEY>" -H "Content-Type: application/json" --data-ascii "
+curl.exe -v -X POST "https://<YOUR_ENDPOINT_URL>/computervision/retrieval/indexes/my-video-index:queryByText?api-version=2023-05-01-preview" -H "Ocp-Apim-Subscription-Key: <YOUR_SUBSCRIPTION_KEY>" -H "Content-Type: application/json" --data-ascii "
 {
   'queryText': 'a man with black hoodie',
   'filters': {

articles/ai-services/.openpublishing.redirection.cognitive-services.json

@@ -15,11 +15,11 @@ ms.author: pafarley
 | --- | --- | --- |
 |Tasks |Image classification</br>Object detection |Image classification</br>Object detection |
 |Base model |CNN  |Transformer model |
-|Labeling|[Customvision.ai](https://www.customvision.ai/) |AML Studio or COCO file |
+|Labeling|[Customvision.ai](https://www.customvision.ai/) |AML Studio |
 |Web Portal |[Customvision.ai](https://www.customvision.ai/) |[Vision Studio](https://portal.vision.cognitive.azure.com/gallery/featured) |
 |Libraries |REST, SDK |REST, Python Sample |
 |Minimum training data needed |15 images per category |2-5 images per category |
 |Training data storage |Uploaded to service |Customer’s blob storage account |
 |Model hosting |Cloud and edge |Cloud hosting only, edge container hosting to come |
-|AI quality | <table ><col ><col ></colgroup><thead><tr><th>context</th><th>IC</br>(top-1 accuracy, 22 datasets)</th><th>OD</br>(mAP@50, 59 datasets)</th></tr></thead><tbody><tr><td>0 shot</td><td>N/A</td><td>N/A</td></tr><tr><td>2 shot</td><td>51.47</td><td>33.3</td></tr><tr><td>3 shot</td><td>56.73</td><td>37.0</td></tr><tr><td>5 shot</td><td>63.01</td><td>43.4</td></tr><tr><td>10 shot</td><td>68.95</td><td>54.0</td></tr><tr><td>full</td><td>85.25</td><td>76.6</td></tr></tbody></table> | <table ><col ><col ></colgroup><thead><tr><th>context</th><th>IC</br>(top-1 accuracy, 22 datasets)</th><th>OD</br>(mAP@50, 59 datasets)</th></tr></thead><tbody><tr><td>0 shot</td><td>57.8</td><td>27.1</td></tr><tr><td>2 shot</td><td>73.02</td><td>49.2</td></tr><tr><td>3 shot</td><td>75.51</td><td>61.1</td></tr><tr><td>5 shot</td><td>79.14</td><td>68.2</td></tr><tr><td>10 shot</td><td>81.31</td><td>75.0</td></tr><tr><td>full</td><td>90.98</td><td>85.4</td></tr></tbody></table> |
-| Pricing | [Custom Vision pricing](/pricing/details/cognitive-services/custom-vision-service/) | [Image Analysis pricing](/pricing/details/cognitive-services/computer-vision/) |
+|AI quality | <table ><col ><col ></colgroup><thead><tr><th>context</th><th>IC</br>(top-1 accuracy, 22 datasets)</th><th>OD</br>(mAP@50, 59 datasets)</th></tr></thead><tbody><tr><td>2 shot</td><td>51.47</td><td>33.3</td></tr><tr><td>3 shot</td><td>56.73</td><td>37.0</td></tr><tr><td>5 shot</td><td>63.01</td><td>43.4</td></tr><tr><td>10 shot</td><td>68.95</td><td>54.0</td></tr><tr><td>full</td><td>85.25</td><td>76.6</td></tr></tbody></table> | <table ><col ><col ></colgroup><thead><tr><th>context</th><th>IC</br>(top-1 accuracy, 22 datasets)</th><th>OD</br>(mAP@50, 59 datasets)</th></tr></thead><tbody><tr><td>2 shot</td><td>73.02</td><td>49.2</td></tr><tr><td>3 shot</td><td>75.51</td><td>61.1</td></tr><tr><td>5 shot</td><td>79.14</td><td>68.2</td></tr><tr><td>10 shot</td><td>81.31</td><td>75.0</td></tr><tr><td>full</td><td>90.98</td><td>85.4</td></tr></tbody></table> |
+| Pricing | [Custom Vision pricing](https://azure.microsoft.com/pricing/details/cognitive-services/custom-vision-service/) | [Image Analysis pricing](https://azure.microsoft.com/pricing/details/cognitive-services/computer-vision) |

articles/ai-services/computer-vision/how-to/video-retrieval.md

@@ -13,13 +13,13 @@ ms.author: pafarley
 
 |Areas | Products on Shelves – Custom Vision |Product Recognition – Image Analysis API/Customization |
 |---|---|---|
-|Features | Custom product understanding |Image stitching & rectification,</br>Pretrained product understanding,</br>Custom product understanding,</br>Planogram matching |  
+|Features | Custom product understanding |Image stitching & rectification, </br>Pretrained product understanding, </br>Custom product understanding, </br>Planogram matching |  
 |Base model |CNN |Florence transformer model|
-|Labeling |[Customvision.ai](https://www.customvision.ai/) |AML Studio or COCO file |
+|Labeling |[Customvision.ai](https://www.customvision.ai/) |AML Studio |
 |Web Portal |[Customvision.ai](https://www.customvision.ai/) |[Vision Studio](https://portal.vision.cognitive.azure.com/gallery/featured) |
 |Libraries |REST, SDK |REST, Python Sample |
 |Minimum training data needed |15 images per category |2-5 images per category| 
 |Training data storage |Uploaded to service |Customer’s blob storage account |
 |Model hosting |Cloud and edge |Cloud hosting only, edge container hosting to come |
 |AI quality| <table ><colgroup><col ><col ></colgroup><thead><tr><th>context</th><th>Top-1 accuracy, 14 datasets</th></tr></thead><tbody><tr><td>1 shot (catalog)</td><td>29.4</td></tr><tr><td>2 shot</td><td>57.1</td></tr><tr><td>3 shot</td><td>66.7</td></tr><tr><td>5 shot</td><td>80.8</td></tr><tr><td>10 shot</td><td>86.4</td></tr><tr><td>full</td><td>94.9</td></tr></tbody></table>| <table ><colgroup><col ><col ></colgroup><thead><tr><th>context</th><th>Top-1 accuracy, 14 datasets</th></tr></thead><tbody><tr><td>1 shot (catalog)</td><td>86.9</td></tr><tr><td>2 shot</td><td>88.8</td></tr><tr><td>3 shot</td><td>89.8</td></tr><tr><td>5 shot</td><td>90.3</td></tr><tr><td>10 shot</td><td>91.0</td></tr><tr><td>full</td><td>95.4</td></tr></tbody></table>|
-| Pricing | [Custom Vision pricing](/pricing/details/cognitive-services/custom-vision-service/) | [Image Analysis pricing](/pricing/details/cognitive-services/computer-vision/) |
+| Pricing | [Custom Vision pricing](https://azure.microsoft.com/pricing/details/cognitive-services/custom-vision-service/) | [Image Analysis pricing](https://azure.microsoft.com/pricing/details/cognitive-services/computer-vision) |

articles/ai-services/computer-vision/includes/custom-vision-ia-compare.md

@@ -110,7 +110,7 @@ For custom projects, the following role assignments are required for different s
 
 1. Start by creating a new CORS entry in the Blob service.
 
-1. Set the **Allowed origins** to `https://formrecognizer.appliedai.azure.com`.
+1. Set the **Allowed origins** to `https://documentintelligence.ai.azure.com`.
 
    :::image type="content" source="../media/quickstarts/cors-updated-image.png" alt-text="Screenshot that shows CORS configuration for a storage account.":::
 

articles/ai-services/computer-vision/includes/custom-vision-shelf-compare.md

@@ -235,7 +235,7 @@ Here are two versions of a Language Detection function. The first returns the IS
     headers     = [#"Ocp-Apim-Subscription-Key" = apikey],
     bytesresp   = Web.Contents(endpoint, [Headers=headers, Content=bytesbody]),
     jsonresp    = Json.Document(bytesresp),
-    language    = jsonresp [documents]{0}[detectedLanguage] [iso6391Name] in language 
+    language    = jsonresp [documents]{0}[detectedLanguage] [name] in language 
 ```
 ```fsharp
 // Returns the name (for example, 'English') of the language in which the text is written

articles/ai-services/document-intelligence/media/quickstarts/cors-updated-image.png

@@ -66,7 +66,8 @@ When you're ready to use Language Studio features on your own text data, you wil
 
 If you're sending conversational text to supported features in Language Studio, be aware of the following input requirements: 
 * The text you send must be a conversational dialog between two or more participants.
-* Each line must start with the name of the participant, followed by a `:`, and followed by what they say.
+* Except issue/resolution summarization, each line must start with the name of the participant, followed by a `:`, and followed by what they say.
+* To use issue and resolution aspects in conversation summarization, each line must start with the role of the participant between "Customer" and "Agent" spelled in English, followed by a ':' before what they say in any supported languages. Names of participants, followed by the role, are optional. 
 * Each participant must be on a new line. If multiple participants' utterances are on the same line, it will be processed as one line of the conversation.
 
 See the following example for how you should structure conversational text you want to send.