Merge pull request #243 from eric-urban/eur/speech-refresh-avatar

refresh tts avatar

Author: AnnaMHuff

articles/ai-services/speech-service/text-to-speech-avatar/content-credentials.md

@@ -1,12 +1,12 @@
 ---
 title: Content Credentials in Azure Text to Speech Avatar
 titleSuffix: Azure Text to Speech Avatar
-description: Learn about the content credentials feature, which lets you verify that a video was generated by the Azure text to speech avatar system.
+description: Learn about the content credentials feature, which lets you verify that the text to speech avatar capability generated the video.
 author: eric-urban
 ms.author: eur
 ms.service: azure-ai-speech
-ms.topic: conceptual 
-ms.date: 6/11/2024
+ms.topic: conceptual
+ms.date: 9/12/2024
 manager: nitinme
 ---
 
@@ -31,17 +31,15 @@ Content credentials in the Azure text to speech avatar can help people understan
 
 The content credentials are only supported in video files generated by batch synthesis of text to speech avatar, and only `mp4` file format is supported.  
 
-## How do I leverage content credentials in my solution today?
+## How do I use content credentials in my solution today?
 
-You may leverage content credentials by:
+You can use content credentials by ensuring that your Azure text to speech avatar generated video files contain content credentials.
 
-- Ensuring that your Azure text to speech avatar generated video files contain content credentials
-
-No additional set-up is necessary. Content credentials are automatically applied to all applicable videos generated by the Azure text to speech avatar.
+No extra set-up is necessary. Content credentials are automatically applied to all applicable videos generated by the Azure text to speech avatar.
 
 ## Verifying that a video file has content credentials
 
-As for now, self-serve verification of content credentials for text to speech avatar video isn't yet available. You can contact [[email protected]](mailto:[email protected]) through email for verification of content credentials of Azure text to speech avatar generated videos.
+As for now, self-serve verification of content credentials for text to speech avatar video isn't yet available. You can contact Microsoft for verification of content credentials of Azure text to speech avatar generated videos.
 
 ## Next steps
 

articles/ai-services/speech-service/text-to-speech-avatar/custom-avatar-endpoint.md

@@ -6,15 +6,15 @@ author: eric-urban
 manager: nitinme
 ms.service: azure-ai-speech
 ms.topic: how-to
-ms.date: 4/15/2024
+ms.date: 9/12/2024
 ms.author: eur
 ---
 
 # Deploy your custom text to speech avatar model as an endpoint
 
-You must deploy the custom avatar to an endpoint before you can use it. Once your custom text to speech avatar model is successfully trained through our manual process, we will notify you. Then you can deploy it to a custom avatar endpoint. You can create up to 10 custom avatar endpoints for each standard (S0) Speech resource.
+You must deploy the custom avatar to an endpoint before you can use it. Once your custom text to speech avatar model is successfully trained through our manual process, we'll notify you. Then you can deploy it to a custom avatar endpoint. You can create up to 10 custom avatar endpoints for each standard (S0) Speech resource.
 
-After you deploy your custom avatar, it's available to use in Speech Studio or through API:
+After you deploy your custom avatar, it's available to use in Speech Studio or via API:
 
 - The avatar appears in the avatar list of text to speech avatar on [Speech Studio](https://speech.microsoft.com/portal/talkingavatar).
 - The avatar appears in the avatar list of live chat avatar on [Speech Studio](https://speech.microsoft.com/portal/livechat).
@@ -30,7 +30,7 @@ To create a custom avatar endpoint, follow these steps:
 1. Select a model that you would like to deploy, then select the **Deploy model** button above the list.
 1. Confirm the deployment to create your endpoint.
 
-Once your model is successfully deployed as an endpoint, you can select the endpoint link on the **Deploy model** page. There, you'll find a link to the text to speech avatar portal on Speech Studio, where you can try and create videos with your custom avatar using text input.
+Once your model is successfully deployed as an endpoint, you can select the endpoint link on the **Deploy model** page. There, you find a link to the text to speech avatar portal on Speech Studio, where you can try to create videos with your custom avatar using text input.
 
 ## Remove a deployment endpoint
 
@@ -47,10 +47,10 @@ If you're also creating a custom neural voice for the actor, the avatar can be h
 
 [Custom neural voice](../custom-neural-voice.md) and [custom text to speech avatar](what-is-custom-text-to-speech-avatar.md) are separate features. You can use them independently or together. 
 
-If you've built a custom neural voice (CNV) and would like to use it together with the custom avatar, pay attention to the following points:
+If you created a custom neural voice (CNV) and want to use it together with the custom avatar, pay attention to the following points:
 
-- Ensure that the CNV endpoint is created in the same Speech resource as the custom avatar endpoint. You can see the CNV voice option in the voices list of the [avatar content generation page](https://speech.microsoft.com/portal/talkingavatar) and [live chat voice settings](https://speech.microsoft.com/portal/livechat).
-- If you're using the batch synthesis for avatar API, add the "customVoices" property to associate the deployment ID of the CNV model with the voice name in the request. For more information, refer to the [Text to speech properties](batch-synthesis-avatar-properties.md#text-to-speech-properties).
+- Ensure that the CNV endpoint is created in the same Speech resource as the custom avatar endpoint. You can see the custom neural voice option in the voices list of the [avatar content generation page](https://speech.microsoft.com/portal/talkingavatar) and [live chat voice settings](https://speech.microsoft.com/portal/livechat).
+- If you're using batch synthesis for avatar API, add the `"customVoices"` property to associate the deployment ID of the CNV model with the voice name in the request. For more information, see the [Text to speech properties](batch-synthesis-avatar-properties.md#text-to-speech-properties).
 - If you're using real-time synthesis for avatar API, refer to our sample code on [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/js/browser/avatar) to set the custom neural voice.
 - If your custom neural voice endpoint is in a different Speech resource from the custom avatar endpoint, refer to [Train your professional voice model](../professional-voice-train-voice.md#copy-your-voice-model-to-another-project) to copy the CNV model to the same Speech resource as the custom avatar endpoint.