Merge pull request #4691 from MicrosoftDocs/main

5/9/2025 AM Publish

Author: Taojunshen

articles/ai-services/openai/concepts/provisioned-migration.md

@@ -234,31 +234,7 @@ An alternative approach to self-service migration is to switch the reservation p
 * There will be a short period of double-billing or hourly charges during the switchover from committed to hourly/reservation billing.
 
 > [!IMPORTANT]
-> Self-service approach generates additional charges as the payment mode is switched from Committed to Hourly/Reservation. This is the characteristics of this migration approaches and customers aren't credited for these charges. Alternately, Customers can choose to use the managed migration approach described below to avoid additional charges.
-
-### Managed migration
-
-The managed migration approach involves the customer partnering with Microsoft to bulk-migrate all the PTU commitments in a subscription/region at the same time. It works like this:
-
-1. The customer will engage their account team and request a managed migration. A migration owner from the Microsoft team will be assigned to assist the customer with migration.
-2. A date will be selected when all resources within each of the customers' subscriptions and regions containing current PTU commitments will be migrated from committed to hourly/reservation billing model. Multiple subscriptions and regions can be migrated on the same date.
-3. On the agreed-upon date:
-    * The customer will purchase regional reservations to cover the committed PTUs that will be converted and pass the reservation information to their Microsoft migration contact.
-    * Within 2-3 business days, all commitments will be proactively canceled and deployments previously under commitments will begin using the hourly/reservation payment model.
-    * In the billing period after the one with the reservation purchase, the customer will receive a credit for the reservation purchase covering the portions of the commitments that were canceled, starting from the time of the reservation purchase.
-
-Customers must reach out to their account teams to schedule a managed migration.
-
-**Managed migration advantages:**
-
-- Bulk migration of all commitments in a subscription/region is beneficial for customers with many commitments.
-- Seamless cost migration: No possibility of double-billing or extra hourly charges.
-
-**Managed migration disadvantages:**
-
-- All commitments in a subscription/region must be migrated at the same time.
-- Needing to coordinate a time for migration with the Microsoft team.
-
+> Self-service approach generates additional charges as the payment mode is switched from Committed to Hourly/Reservation. This is the characteristics of this migration approaches and customers aren't credited for these charges.
 
 ## Migrating existing deployments to global or data zone provisioned
 Existing customers of provisioned deployments can choose to migrate to global or data zone provisioned deployments to benefit from the lower deployment minimums, granular scale increments, or differentiated pricing available for these deployment types. To learn more about how global and data zone provisioned deployments handle data processing across Azure geographies, see the Azure OpenAI deployment [data processing documentation](https://aka.ms/aoai/docs/data-processing-locations).

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

@@ -16,19 +16,27 @@ To transcribe multi-lingual contents continuously and accurately in an audio fil
 #### New locales supported in Fast Transcription
 Fast transcription now supports additional locales including fi-FI, he-IL, id-ID, pl-PL, pt-PT, sv-SE, etc. For more information, see [speech to text supported languages](../../language-support.md?tabs=stt).
 
+### April 2025 release
+
+#### Pronunciation assessment
+
+We are excited to announce substantial improvements to our pronunciation assessment models for these locales: `de-DE`, `es-MX`, `it-IT`, `ja-JP`, `ko-KR`, and `pt-BR`. These enhancements bring significant advancements in Pearson Correlation Coefficients (PCC), ensuring more accurate and reliable assessments.
+
+As before, the models are available through the API and Azure AI Foundry playground. 
+
 ### March 2025 release
 
 #### Conversation transcription multichannel diarization (retired)
 
-Conversation transcription multichannel diarization is retiring on March 28, 2025. 
+Conversation transcription multichannel diarization is retiring on March 28, 2025.
 
 To continue using speech to text with diarization, use the following features instead:
 
 - [Real-time speech to text with diarization](../../get-started-stt-diarization.md)
 - [Fast transcription with diarization](../../fast-transcription-create.md)
 - [Batch transcription with diarization](../../batch-transcription.md)
 
-These speech to text features only support diarization for single-channel audio. Multichannel audio that you used with conversation transcription multichannel diarization isn't supported. 
+These speech to text features only support diarization for single-channel audio. Multichannel audio that you used with conversation transcription multichannel diarization isn't supported.
 
 ### January 2025 release
 
@@ -92,11 +100,11 @@ The video translation API is now available in public preview. For more informati
 
 ### September 2024 release
 
-#### Real-time speech to text 
+#### Real-time speech to text
 
-[Real-time speech to text](../../how-to-recognize-speech.md) has released new models, with better quality, for the following languages. 
+[Real-time speech to text](../../how-to-recognize-speech.md) has released new models, with better quality, for the following languages.
 
-fi-FI/id-ID/zh-TW/pl-PL/pt-PT 
+fi-FI/id-ID/zh-TW/pl-PL/pt-PT
 es-SV/es-EC/es-BO/es-PY/es-AR/es-DO/es-UY/es-CR/es-VE/es-NI/es-HN/es-PR/es-CO/es-CL/es-CU/es-PE/es-PA/es-GT/es-GQ
 
 #### Fast transcription (Preview)
@@ -112,7 +120,7 @@ Language learning is now available in public preview. Interactive language learn
 
 Speech [pronunciation assessment](../../how-to-pronunciation-assessment.md) now supports 33 languages generally available, and each language is available on all Speech to text [regions](../../regions.md#regions). For more information, see the full [language list for Pronunciation assessment](../../language-support.md?tabs=pronunciation-assessment).
 
-| Language | Locale (BCP-47) | 
+| Language | Locale (BCP-47) |
 |--|--|
 |Arabic (Egypt)|`ar-EG` |
 |Arabic (Saudi Arabia)|`ar-SA` |
@@ -126,10 +134,10 @@ Speech [pronunciation assessment](../../how-to-pronunciation-assessment.md) now
 |English (Canada)|`en-CA` |
 |English (India)|`en-IN` |
 |English (United Kingdom)|`en-GB`|
-|English (United States)|`en-US`|  
-|Finnish (Finland)|`fi-FI`|  
-|French (Canada)|`fr-CA`| 
-|French (France)|`fr-FR`|  
+|English (United States)|`en-US`|
+|Finnish (Finland)|`fi-FI`|
+|French (Canada)|`fr-CA`|
+|French (France)|`fr-FR`|
 |German (Germany)|`de-DE`|
 |Hindi (India)|`hi-IN`|
 |Italian (Italy)|`it-IT`|
@@ -141,11 +149,11 @@ Speech [pronunciation assessment](../../how-to-pronunciation-assessment.md) now
 |Portuguese (Brazil)|`pt-BR`|
 |Portuguese (Portugal)|`pt-PT`|
 |Russian (Russia)|`ru-RU`|
-|Spanish (Mexico)|`es-MX` | 
-|Spanish (Spain)|`es-ES` | 
+|Spanish (Mexico)|`es-MX` |
+|Spanish (Spain)|`es-ES` |
 |Swedish (Sweden)|`sv-SE`|
-|Tamil (India)|`ta-IN` | 
-|Thai (Thailand)|`th-TH` | 
+|Tamil (India)|`ta-IN` |
+|Thai (Thailand)|`th-TH` |
 |Vietnamese (Vietnam)|`vi-VN` |
 
 
@@ -162,7 +170,7 @@ Fast transcription is now available in public preview. Fast transcription allows
 
 #### Speech to text REST API v3.2 general availability
 
-The Speech to text REST API version 3.2 is now generally available. For more information about speech to text REST API v3.2, see the [Speech to text REST API v3.2 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.2&preserve-view=true) and the [Speech to text REST API guide](../../rest-speech-to-text.md). 
+The Speech to text REST API version 3.2 is now generally available. For more information about speech to text REST API v3.2, see the [Speech to text REST API v3.2 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.2&preserve-view=true) and the [Speech to text REST API guide](../../rest-speech-to-text.md).
 
 > [!NOTE]
 > Preview versions *3.2-preview.1* and *3.2-preview.2* are retired as of September 2024.
@@ -209,17 +217,17 @@ You can create speech to text applications that use diarization to distinguish b
 
 #### Speech to text model Update
 
-[Real-time speech to text](../../how-to-recognize-speech.md) has released new models with bilingual capabilities. The `en-IN` model now supports both English and Hindi bilingual scenarios and offers improved accuracy. Arabic locales (`ar-AE`, `ar-BH`, `ar-DZ`, `ar-IL`, `ar-IQ`, `ar-KW`, `ar-LB`, `ar-LY`, `ar-MA`, `ar-OM`, `ar-PS`, `ar-QA`, `ar-SA`, `ar-SY`, `ar-TN`, `ar-YE`) are now equipped with bilingual support for English, enhanced accuracy and call center support. 
+[Real-time speech to text](../../how-to-recognize-speech.md) has released new models with bilingual capabilities. The `en-IN` model now supports both English and Hindi bilingual scenarios and offers improved accuracy. Arabic locales (`ar-AE`, `ar-BH`, `ar-DZ`, `ar-IL`, `ar-IQ`, `ar-KW`, `ar-LB`, `ar-LY`, `ar-MA`, `ar-OM`, `ar-PS`, `ar-QA`, `ar-SA`, `ar-SY`, `ar-TN`, `ar-YE`) are now equipped with bilingual support for English, enhanced accuracy and call center support.
 
-[Batch transcription](../../batch-transcription.md) provides models with new architecture for these locales: `es-ES`, `es-MX`, `fr-FR`, `it-IT`, `ja-JP`, `ko-KR`, `pt-BR`, and `zh-CN`. These models significantly enhance readability and entity recognition. 
+[Batch transcription](../../batch-transcription.md) provides models with new architecture for these locales: `es-ES`, `es-MX`, `fr-FR`, `it-IT`, `ja-JP`, `ko-KR`, `pt-BR`, and `zh-CN`. These models significantly enhance readability and entity recognition.
 
 ### March 2024 release
 
 #### Whisper general availability (GA)
 
 The Whisper speech to text model with Azure AI Speech is now generally available.
 
-Check out [What is the Whisper model?](../../whisper-overview.md) to learn more about when to use Azure AI Speech vs. Azure OpenAI Service. 
+Check out [What is the Whisper model?](../../whisper-overview.md) to learn more about when to use Azure AI Speech vs. Azure OpenAI Service.
 
 ### February 2024 release
 
@@ -235,11 +243,11 @@ Added phrase list support for the following locales: ar-SA, de-CH, en-IE, en-ZA,
 
 #### Introducing Bilingual Speech Modeling!
 We're thrilled to unveil a groundbreaking addition to our real-time speech modeling—Bilingual Speech Modeling. This significant enhancement allows our speech model to seamlessly support bilingual language pairs, such as English and Spanish, as well as English and French. This feature empowers users to effortlessly switch between languages during real-time interactions, marking a pivotal moment in our commitment to enhancing communication experiences.
- 
+
 Key Highlights:
 - Bilingual Support: With our latest release, users can seamlessly switch between English and Spanish or between English and French during real-time speech interactions. This functionality is tailored to accommodate bilingual speakers who frequently transition between these two languages.
 - Enhanced User Experience: Bilingual speakers, whether at work, home, or in various community settings, will find this feature immensely beneficial. The model's ability to comprehend and respond to both English and Spanish in real time opens up new possibilities for effective and fluid communication.
- 
+
 How to Use:
 
 Choose es-US (Spanish and English) or fr-CA (French and English) when you call the Speech Service API or try it out on Speech Studio. Feel free to speak either language or mix them together—the model is designed to adapt dynamically, providing accurate and context-aware responses in both languages.
@@ -275,12 +283,12 @@ We encourage you to explore these improvements and consider potential issues for
 
 #### Whisper public preview
 
-Azure AI Speech now supports OpenAI's Whisper model via the batch transcription API. To learn more, check out the [Create a batch transcription](../../batch-transcription-create.md#use-a-whisper-model) guide. 
+Azure AI Speech now supports OpenAI's Whisper model via the batch transcription API. To learn more, check out the [Create a batch transcription](../../batch-transcription-create.md#use-a-whisper-model) guide.
 
 > [!NOTE]
-> Azure OpenAI Service also supports OpenAI's Whisper model for speech to text with a synchronous REST API. To learn more, check out the [quickstart](../../../openai/whisper-quickstart.md). 
+> Azure OpenAI Service also supports OpenAI's Whisper model for speech to text with a synchronous REST API. To learn more, check out the [quickstart](../../../openai/whisper-quickstart.md).
 
-Check out [What is the Whisper model?](../../whisper-overview.md) to learn more about when to use Azure AI Speech vs. Azure OpenAI Service. 
+Check out [What is the Whisper model?](../../whisper-overview.md) to learn more about when to use Azure AI Speech vs. Azure OpenAI Service.
 
 #### Speech to text REST API v3.2 public preview
 
@@ -306,13 +314,13 @@ Speech to text supports two new locales as shown in the following table. Refer t
 #### Pronunciation Assessment
 
 - Speech [Pronunciation Assessment](../../how-to-pronunciation-assessment.md) now supports 3 additional languages generally available in German (Germany), Japanese (Japan), and Spanish (Mexico), with 4 additional languages available in preview. For more information, see the full [language list for Pronunciation Assessment](../../language-support.md?tabs=pronunciation-assessment).
-- You can now use the standard Speech to Text commitment tier for pronunciation assessment on all public regions. If you purchase a commitment tier for standard Speech to text, the spend for pronunciation assessment goes towards meeting the commitment. See [commitment tier pricing](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services). 
+- You can now use the standard Speech to Text commitment tier for pronunciation assessment on all public regions. If you purchase a commitment tier for standard Speech to text, the spend for pronunciation assessment goes towards meeting the commitment. See [commitment tier pricing](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services).
 
 ### February 2023 release
 
 #### Pronunciation Assessment
 
-- Speech [Pronunciation Assessment](../../how-to-pronunciation-assessment.md) now supports 5 additional languages generally available in English (United Kingdom), English (Australia), French (France), Spanish (Spain), and Chinese (Mandarin, Simplified), with other languages available in preview. 
+- Speech [Pronunciation Assessment](../../how-to-pronunciation-assessment.md) now supports 5 additional languages generally available in English (United Kingdom), English (Australia), French (France), Spanish (Spain), and Chinese (Mandarin, Simplified), with other languages available in preview.
 - Added sample codes showing how to use Pronunciation Assessment in streaming mode in your own application.
   - **C#**: See [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/csharp/sharedcontent/console/speech_recognition_samples.cs#:~:text=PronunciationAssessmentWithStream).
   - **C++**: See [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/cpp/windows/console/samples/speech_recognition_samples.cpp#:~:text=PronunciationAssessmentWithStream).
@@ -510,4 +518,3 @@ Speech to text released 26 new locales in August: 2 European languages `cs-CZ` a
 | `es-UY` | Spanish (Uruguay)                 |
 | `es-VE` | Spanish (Venezuela)               |
 | `hu-HU` | Hungarian (Hungary)               |
-

articles/machine-learning/azure-machine-learning-release-notes-cli-v2.md

@@ -17,13 +17,41 @@ ms.date: 12/17/2024
 
 [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]
 
-
-
 In this article, learn about Azure Machine Learning CLI (v2) releases.
 
 __RSS feed__: Get notified when this page is updated by copying and pasting the following URL into your feed reader:
 `https://learn.microsoft.com/api/search/rss?search=%22Azure+machine+learning+release+notes-v2%22&locale=en-us`
 
+## 2025-05-09
+
+## Azure Machine Learning CLI (v2) v 2.37.0
+- `az ml workspace create`
+  - Hub and Project workspace marked as GA.
+
+## 2025-04-23
+
+## Azure Machine Learning CLI (v2) v 2.36.5
+  - Pin major version of external dependencies in SDK.
+
+## Azure Machine Learning CLI (v2) v 2.36.4
+  - Updated marshmallow dependency to restrict versions to >=3.5,<4.0.0 to ensure compatibility.
+
+## 2025-04-17
+
+## Azure Machine Learning CLI (v2) v 2.36.3
+  - Removing reference of deprecated package distutils.
+
+## 2025-04-09
+
+## Azure Machine Learning CLI (v2) v 2.36.2
+- `az ml capability-host create`
+  - Made AI Search connections property optional.
+
+## 2025-04-01
+
+## Azure Machine Learning CLI (v2) v 2.36.1
+  - Handle missing duration value in deployment poller result.
+
 ## 2025-03-14
 
 ## Azure Machine Learning CLI (v2) v 2.36.0