Merge pull request #3045 from eric-urban/eur/aiservices-kind

[SCOPED] Use AI services resource for Speech terminology

Author: JillGrant615

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

@@ -278,7 +278,7 @@ curl -v -X GET "https://eastus.api.cognitive.microsoft.com/speechtotext/v3.2/mod
 ::: zone-end
 
 ::: zone pivot="speech-cli"
-Make sure that you set the [configuration variables](spx-basics.md#create-a-resource-configuration) for a Speech resource in one of the supported regions. You can run the `spx csr list --base` command to get available base models for all locales.
+Make sure that you set the [configuration variables](spx-basics.md#create-a-resource-configuration) for an AI Services resource for Speech in one of the supported regions. You can run the `spx csr list --base` command to get available base models for all locales.
 
 ```azurecli
 spx csr list --base --api-version v3.2

articles/ai-services/speech-service/bring-your-own-storage-speech-resource-speech-to-text.md

@@ -19,7 +19,7 @@ Bring your own storage (BYOS) can be used in the following speech to text scenar
 - Real-time transcription with audio and transcription results logging enabled
 - Custom speech
 
-One pair of a Speech resource and storage account can be used for all scenarios simultaneously.
+One pair of an AI Services resource for Speech and storage account can be used for all scenarios simultaneously.
 
 This article explains in depth how to use a BYOS-enabled Speech resource in all speech to text scenarios. The article implies that you have [a fully configured BYOS-enabled Speech resource and associated Storage account](bring-your-own-storage-speech-resource.md).
 

articles/ai-services/speech-service/bring-your-own-storage-speech-resource.md

@@ -292,7 +292,7 @@ You can always check, whether any given Speech resource is BYOS enabled, and wha
 
 # [Azure portal](#tab/portal)
 
-To check BYOS configuration of a Speech resource with Azure portal, you need to access some portal preview features. Perform the following steps:
+To check BYOS configuration of an AI Services resource for Speech with Azure portal, you need to access some portal preview features. Perform the following steps:
 
 1. Navigate to *Create Speech* page using [this link](https://ms.portal.azure.com/?feature.enablecsumi=true&feature.enablecsstoragemenu=true&microsoft_azure_marketplace_ItemHideKey=microsoft_azure_cognitiveservices_byospreview#create/Microsoft.CognitiveServicesSpeechServices).
 1.  Close *Create Speech* screen by pressing *X* in the right upper corner.

articles/ai-services/speech-service/custom-commands.md

@@ -29,7 +29,7 @@ Good candidates for Custom Commands have a fixed vocabulary with well-defined se
 
 ## Getting started with Custom Commands
 
-Our goal with Custom Commands is to reduce your cognitive load to learn all the different technologies and focus building your voice commanding app. First step for using Custom Commands to <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesSpeechServices" target="_blank">create a Speech resource</a>. You can author your Custom Commands app on the Speech Studio and publish it, after which an on-device application can communicate with it using the Speech SDK.
+Our goal with Custom Commands is to reduce your cognitive load to learn all the different technologies and focus building your voice commanding app. First step for using Custom Commands to <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesAIServices" target="_blank">create an AI Services resource for Speech</a>. You can author your Custom Commands app on the Speech Studio and publish it, after which an on-device application can communicate with it using the Speech SDK.
 
 #### Authoring flow for Custom Commands
    ![Authoring flow for Custom Commands](media/voice-assistants/custom-commands-flow.png "The Custom Commands authoring flow")

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

@@ -29,7 +29,7 @@ With custom speech, you can upload your own data, test and train a custom model,
 
 Here's more information about the sequence of steps shown in the previous diagram:
 
-1. [Create a project](how-to-custom-speech-create-project.md) and choose a model. Use a <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesSpeechServices" title="Create a Speech resource" target="_blank">Speech resource</a> that you create in the Azure portal. If you train a custom model with audio data, choose a Speech resource region with dedicated hardware for training audio data. For more information, see footnotes in the [regions](regions.md#regions) table.
+1. [Create a project](how-to-custom-speech-create-project.md) and choose a model. Use a <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesAIServices" title="Create an AI Services resource for Speech" target="_blank">Speech resource</a> that you create in the Azure portal. If you train a custom model with audio data, choose an AI Services resource for Speech region with dedicated hardware for training audio data. For more information, see footnotes in the [regions](regions.md#regions) table.
 1. [Upload test data](./how-to-custom-speech-upload-data.md). Upload test data to evaluate the speech to text offering for your applications, tools, and products.
 1. [Test recognition quality](how-to-custom-speech-inspect-data.md). Use the [Speech Studio](https://aka.ms/speechstudio/customspeech) to play back uploaded audio and inspect the speech recognition quality of your test data. 
 1. [Test model quantitatively](how-to-custom-speech-evaluate-data.md). Evaluate and improve the accuracy of the speech to text model. The Speech service provides a quantitative word error rate (WER), which you can use to determine if more training is required. 

articles/ai-services/speech-service/direct-line-speech.md

@@ -23,7 +23,7 @@ Direct Line Speech supports these locales: `ar-eg`, `ar-sa`, `ca-es`, `da-dk`, `
 
 ## Getting started with Direct Line Speech
 
-To create a voice assistant using Direct Line Speech, create a Speech resource and Azure Bot resource in the [Azure portal](https://portal.azure.com). Then [connect the bot](/azure/bot-service/bot-service-channel-connect-directlinespeech) to the Direct Line Speech channel.
+To create a voice assistant using Direct Line Speech, create an AI Services resource for Speech and Azure Bot resource in the [Azure portal](https://portal.azure.com). Then [connect the bot](/azure/bot-service/bot-service-channel-connect-directlinespeech) to the Direct Line Speech channel.
 
    ![Conceptual diagram of the Direct Line Speech orchestration service flow](media/voice-assistants/overview-directlinespeech.png "The Speech Channel flow")
 

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

@@ -166,7 +166,7 @@ All text to speech locales [here](language-support.md?tabs=tts) (except fa-IR, P
 
 ## Embedded speech configuration
 
-For cloud connected applications, as shown in most Speech SDK samples, you use the `SpeechConfig` object with a Speech resource key and region. For embedded speech, you don't use a Speech resource. Instead of a cloud resource, you use the [models and voices](#models-and-voices) that you download to your local device.
+For cloud connected applications, as shown in most Speech SDK samples, you use the `SpeechConfig` object with an API key and region. For embedded speech, you don't use an AI Services resource for Speech. Instead of a cloud resource, you use the [models and voices](#models-and-voices) that you download to your local device.
 
 Use the `EmbeddedSpeechConfig` object to set the location of the models or voices. If your application is used for both speech to text and text to speech, you can use the same `EmbeddedSpeechConfig` object to set the location of the models and voices.
 

articles/ai-services/speech-service/faq-stt.yml

@@ -25,7 +25,7 @@ sections:
       - question: |
           Where do I start if I want to use a base model?
         answer: |
-          First, get a Speech resource key and region in the [Azure portal](https://portal.azure.com). If you want to make REST calls to a predeployed base model, see the [REST APIs](rest-speech-to-text.md) documentation. If you want to use WebSockets, [download the Speech SDK](speech-sdk.md).
+          First, get an API key and region in the [Azure portal](https://portal.azure.com). If you want to make REST calls to a predeployed base model, see the [REST APIs](rest-speech-to-text.md) documentation. If you want to use WebSockets, [download the Speech SDK](speech-sdk.md).
           
       - question: |
           Do I always need to build a custom speech model?

articles/ai-services/speech-service/how-to-configure-azure-ad-auth.md

@@ -14,21 +14,21 @@ ms.custom: devx-track-azurepowershell, devx-track-extended-java, devx-track-pyth
 
 # Microsoft Entra authentication with the Speech SDK
 
-When using the Speech SDK to access the Speech service, there are three authentication methods available: service keys, a key-based token, and Microsoft Entra ID. This article describes how to configure a Speech resource and create a Speech SDK configuration object to use Microsoft Entra ID for authentication.
+When using the Speech SDK to access the Speech service, there are three authentication methods available: service keys, a key-based token, and Microsoft Entra ID. This article describes how to configure an AI Services resource for Speech and create a Speech SDK configuration object to use Microsoft Entra ID for authentication.
 
 This article shows how to use Microsoft Entra authentication with the Speech SDK. You learn how to:
 
 > [!div class="checklist"]
 >
-> - Create a Speech resource
+> - Create an AI Services resource for Speech
 > - Configure the Speech resource for Microsoft Entra authentication
 > - Get a Microsoft Entra access token
 > - Create the appropriate SDK configuration object.
 
 To learn more about Microsoft Entra access tokens, including token lifetime, visit [Access tokens in the Microsoft identity platform](/azure/active-directory/develop/access-tokens).
 
-## Create a Speech resource
-To create a Speech resource in the [Azure portal](https://portal.azure.com), see [this quickstart](~/articles/ai-services/multi-service-resource.md?pivots=azportal).
+## Create an AI Services resource for Speech
+To create an AI Services resource for Speech in the [Azure portal](https://portal.azure.com), see [this quickstart](~/articles/ai-services/multi-service-resource.md?pivots=azportal).
 
 <a name='configure-the-speech-resource-for-azure-ad-authentication'></a>
 
@@ -128,7 +128,7 @@ You need your Speech resource ID to make SDK calls using Microsoft Entra authent
 To get the resource ID in the Azure portal:
 
 1. Go to the [Azure portal](https://portal.azure.com/) and sign in to your Azure account.
-1. Select a Speech resource.
+1. Select an AI Services resource for Speech.
 1. In the **Resource Management** group on the left pane, select **Properties**.
 1. Copy the **Resource ID**
 

articles/ai-services/speech-service/how-to-custom-speech-create-project.md

@@ -26,7 +26,7 @@ To create a custom speech project, follow these steps:
 1. Select the subscription and Speech resource to work with. 
 
     > [!IMPORTANT]
-    > If you will train a custom model with audio data, choose a Speech resource region with dedicated hardware for training audio data. See footnotes in the [regions](regions.md#regions) table for more information.
+    > If you will train a custom model with audio data, choose a region with dedicated hardware for training audio data. See footnotes in the [regions](regions.md#regions) table for more information.
 
 1. Select **Custom speech** > **Create a new project**. 
 1. Follow the instructions provided by the wizard to create your project.