Merge pull request #270928 from MicrosoftDocs/main

4/2/2024 AM Publish

Author: Taojunshen

articles/ai-services/speech-service/get-started-stt-diarization.md

@@ -14,7 +14,7 @@ keywords: speech to text, speech to text software
 #customer intent: As a developer, I want to create speech to text applications that use diarization to improve readability of multiple person conversations.
 ---
 
-# Quickstart: Create real-time diarization (Preview)
+# Quickstart: Create real-time diarization
 
 ::: zone pivot="programming-language-csharp"
 [!INCLUDE [C# include](includes/quickstarts/stt-diarization/csharp.md)]

articles/ai-services/speech-service/includes/quickstarts/stt-diarization/cpp.md

@@ -142,9 +142,6 @@ Follow these steps to create a console application and install the Speech SDK.
 
    The application recognizes speech from multiple participants in the conversation. Your audio file should contain multiple speakers.
 
-   > [!NOTE]
-   > The service performs best with at least 7 seconds of continuous audio from a single speaker. This allows the system to differentiate the speakers properly. Otherwise the Speaker ID is returned as `Unknown`.
-
 1. To change the speech recognition language, replace `en-US` with another [supported language](~/articles/cognitive-services/speech-service/supported-languages.md). For example, `es-ES` for Spanish (Spain). The default language is `en-US` if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see [language identification](~/articles/cognitive-services/speech-service/language-identification.md).
 
 1. [Build and run](/cpp/build/vscpp-step-2-build) your application to start conversation transcription:

articles/ai-services/speech-service/includes/quickstarts/stt-diarization/csharp.md

@@ -121,9 +121,6 @@ Follow these steps to create a console application and install the Speech SDK.
 
    The application recognizes speech from multiple participants in the conversation. Your audio file should contain multiple speakers.
 
-   > [!NOTE]
-   > The service performs best with at least 7 seconds of continuous audio from a single speaker. This allows the system to differentiate the speakers properly. Otherwise the Speaker ID is returned as `Unknown`.
-
 1. To change the speech recognition language, replace `en-US` with another [supported language](~/articles/cognitive-services/speech-service/supported-languages.md). For example, `es-ES` for Spanish (Spain). The default language is `en-US` if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see [language identification](~/articles/cognitive-services/speech-service/language-identification.md).
 
 1. Run your console application to start conversation transcription:

articles/ai-services/speech-service/includes/quickstarts/stt-diarization/intro.md

@@ -8,9 +8,6 @@ ms.author: eur
 
 In this quickstart, you run an application for speech to text transcription with real-time diarization. Diarization distinguishes between the different speakers who participate in the conversation. The Speech service provides information about which speaker was speaking a particular part of transcribed speech. 
 
-> [!NOTE]
-> Real-time diarization is currently in public preview.
-
 The speaker information is included in the result in the speaker ID field. The speaker ID is a generic identifier assigned to each conversation participant by the service during the recognition as different speakers are being identified from the provided audio content.
 
 > [!TIP]

articles/ai-services/speech-service/includes/quickstarts/stt-diarization/java.md

@@ -148,9 +148,6 @@ Follow these steps to create a console application for conversation transcriptio
 
    The application recognizes speech from multiple participants in the conversation. Your audio file should contain multiple speakers.
 
-   > [!NOTE]
-   > The service performs best with at least 7 seconds of continuous audio from a single speaker. This allows the system to differentiate the speakers properly. Otherwise the Speaker ID is returned as `Unknown`.
-
 1. To change the speech recognition language, replace `en-US` with another [supported language](~/articles/cognitive-services/speech-service/supported-languages.md). For example, `es-ES` for Spanish (Spain). The default language is `en-US` if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see [language identification](~/articles/cognitive-services/speech-service/language-identification.md).
 
 1. Run your new console application to start conversation transcription:

articles/ai-services/speech-service/includes/quickstarts/stt-diarization/javascript.md

@@ -93,9 +93,6 @@ Follow these steps to create a new console application for conversation transcri
 
    The application recognizes speech from multiple participants in the conversation. Your audio file should contain multiple speakers.
 
-   > [!NOTE]
-   > The service performs best with at least 7 seconds of continuous audio from a single speaker. This allows the system to differentiate the speakers properly. Otherwise the Speaker ID is returned as `Unknown`.
-
 1. To change the speech recognition language, replace `en-US` with another [supported language](~/articles/cognitive-services/speech-service/supported-languages.md). For example, `es-ES` for Spanish (Spain). The default language is `en-US` if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see [language identification](~/articles/cognitive-services/speech-service/language-identification.md).
 
 1. Run your new console application to start speech recognition from a file:

articles/ai-services/speech-service/includes/quickstarts/stt-diarization/python.md

@@ -108,9 +108,6 @@ Follow these steps to create a new console application.
 
    The application recognizes speech from multiple participants in the conversation. Your audio file should contain multiple speakers.
 
-   > [!NOTE]
-   > The service performs best with at least 7 seconds of continuous audio from a single speaker. This allows the system to differentiate the speakers properly. Otherwise the Speaker ID is returned as `Unknown`.
-
 1. To change the speech recognition language, replace `en-US` with another [supported language](~/articles/cognitive-services/speech-service/supported-languages.md). For example, `es-ES` for Spanish (Spain). The default language is `en-US` if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see [language identification](~/articles/cognitive-services/speech-service/language-identification.md).
 
 1. Run your new console application to start conversation transcription:

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

@@ -6,6 +6,14 @@ ms.date: 3/13/2024
 ms.author: eur
 ---
 
+### April 2024 release
+
+#### Real-time speech to text with diariazation (GA)
+
+Real-time speech to text with diariazation is now generally available.
+
+Check out [Real-time diarization quickstart](../../get-started-stt-diarization.md) to learn more about how to create speech to text applications that use diarization to distinguish between the different speakers who participate in the conversation.
+
 ### March 2024 release
 
 #### Whisper general availability (GA)

articles/ai-studio/tutorials/deploy-copilot-ai-studio.md

@@ -414,6 +414,7 @@ Now that you have your evaluation dataset, you can evaluate your flow by followi
 
     > [!NOTE]
     > Evaluation with AI-assisted metrics needs to call another GPT model to do the calculation. For best performance, use a GPT-4 or gpt-35-turbo-16k model. If you didn't previously deploy a GPT-4 or gpt-35-turbo-16k model, you can deploy another model by following the steps in [Deploy a chat model](#deploy-a-chat-model). Then return to this step and select the model you deployed.
+    > The evaluation process may take up lots of tokens, so it's recommended to use a model which can support >=16k tokens.
 
 1. Select **Add new dataset**. Then select **Next**.
 

articles/azure-functions/functions-bindings-signalr-service-trigger.md

@@ -6,7 +6,7 @@ ms.topic: reference
 ms.devlang: csharp
 # ms.devlang: csharp, javascript, python
 ms.custom: devx-track-csharp, devx-track-extended-java, devx-track-js, devx-track-python
-ms.date: 03/12/2024
+ms.date: 04/02/2024
 ms.author: zityang
 zone_pivot_groups: programming-languages-set-functions-lang-workers
 ---
@@ -25,7 +25,6 @@ For information on setup and configuration details, see the [overview](functions
 
 ::: zone pivot="programming-language-csharp"
 
-
 [!INCLUDE [functions-bindings-csharp-intro-with-csx](../../includes/functions-bindings-csharp-intro-with-csx.md)]
 
 [!INCLUDE [functions-in-process-model-retirement-note](../../includes/functions-in-process-model-retirement-note.md)]
@@ -36,10 +35,12 @@ The following sample shows a C# function that receives a message event from clie
 
 :::code language="csharp" source="~/azure-functions-dotnet-worker/samples/Extensions/SignalR/SignalRTriggerFunctions.cs" id="snippet_on_message":::
 
+> [!IMPORTANT]
+> Class based model of SignalR Service bindings in C# isolated worker doesn't optimize how you write SignalR triggers due to the limitation of C# worker model. For more information about class based model, see [Class based model](../azure-signalr/signalr-concept-serverless-development-config.md#class-based-model).
 
 # [In-process model](#tab/in-process)
 
-SignalR Service trigger binding for C# has two programming models. Class based model and traditional model. Class based model provides a consistent SignalR server-side programming experience. Traditional model provides more flexibility and is similar to other function bindings.
+SignalR Service trigger binding for C# in-process model has two programming models. Class based model and traditional model. Class based model provides a consistent SignalR server-side programming experience. Traditional model provides more flexibility and is similar to other function bindings.
 
 ### With class-based model
 
@@ -200,7 +201,7 @@ See the [Example section](#example) for complete examples.
 
 ### Payloads
 
-The trigger input type is declared as either `InvocationContext` or a custom type. If you choose `InvocationContext` you get full access to the request content. For a custom type, the runtime tries to parse the JSON request body to set the object properties.
+The trigger input type is declared as either `InvocationContext` or a custom type. If you choose `InvocationContext`, you get full access to the request content. For a custom type, the runtime tries to parse the JSON request body to set the object properties.
 
 ### InvocationContext
 
@@ -210,11 +211,11 @@ The trigger input type is declared as either `InvocationContext` or a custom typ
 |------------------------------|------------|
 |Arguments| Available for *messages* category. Contains *arguments* in [invocation message](https://github.com/dotnet/aspnetcore/blob/master/src/SignalR/docs/specs/HubProtocol.md#invocation-message-encoding)|
 |Error| Available for *disconnected* event. It can be Empty if the connection closed with no error, or it contains the error messages.|
-|Hub| The hub name which the message belongs to.|
+|Hub| The hub name that the message belongs to.|
 |Category| The category of the message.|
 |Event| The event of the message.|
-|ConnectionId| The connection ID of the client which sends the message.|
-|UserId| The user identity of the client which sends the message.|
+|ConnectionId| The connection ID of the client that sends the message.|
+|UserId| The user identity of the client that sends the message.|
 |Headers| The headers of the request.|
 |Query| The query of the request when clients connect to the service.|
 |Claims| The claims of the client.|
@@ -235,27 +236,27 @@ After you set `parameterNames`, the names you defined correspond to the argument
 [SignalRTrigger(parameterNames: new string[] {"arg1, arg2"})]
 ```
 
-Then, the `arg1` will contain the content of `message1`, and `arg2` will contain the content of `message2`.
+Then, the `arg1` contains the content of `message1`, and `arg2` contains the content of `message2`.
 
 ### `ParameterNames` considerations
 
 For the parameter binding, the order matters. If you're using `ParameterNames`, the order in `ParameterNames` matches the order of the arguments you invoke in the client. If you're using attribute `[SignalRParameter]` in C#, the order of arguments in Azure Function methods matches the order of arguments in clients.
 
-`ParameterNames` and attribute `[SignalRParameter]` **cannot** be used at the same time, or you will get an exception.
+`ParameterNames` and attribute `[SignalRParameter]` **cannot** be used at the same time, or you'll get an exception.
 
 ### SignalR Service integration
 
 SignalR Service needs a URL to access Function App when you're using SignalR Service trigger binding. The URL should be configured in **Upstream Settings** on the SignalR Service side.
 
 :::image type="content" source="../azure-signalr/media/concept-upstream/upstream-portal.png" alt-text="Upstream Portal":::
 
-When using SignalR Service trigger, the URL can be simple and formatted as shown below:
+When using SignalR Service trigger, the URL can be simple and formatted as follows:
 
 ```http
 <Function_App_URL>/runtime/webhooks/signalr?code=<API_KEY>
 ```
 
-The `Function_App_URL` can be found on Function App's Overview page and The `API_KEY` is generated by Azure Function. You can get the `API_KEY` from `signalr_extension` in the **App keys** blade of Function App.
+The `Function_App_URL` can be found on Function App's Overview page and the `API_KEY` is generated by Azure Function. You can get the `API_KEY` from `signalr_extension` in the **App keys** blade of Function App.
 :::image type="content" source="media/functions-bindings-signalr-service/signalr-keys.png" alt-text="API key":::
 
 If you want to use more than one Function App together with one SignalR Service, upstream can also support complex routing rules. Find more details at [Upstream settings](../azure-signalr/concept-upstream.md).