remove direct line speech docs

Author: eric-urban

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

@@ -810,6 +810,31 @@
       "redirect_url": "/windows/apps/design/input/speech-interactions",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/direct-line-speech.md",
+      "redirect_url": "/azure/ai-services/speech-service/voice-assistants",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/quickstarts/voice-assistants.md",
+      "redirect_url": "/azure/ai-services/speech-service/voice-assistants",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/tutorial-voice-enable-your-bot-speech-sdk.md",
+      "redirect_url": "/azure/ai-services/speech-service/voice-assistants",
+      "redirect_document_id": false
+    },
+
+    - name: Direct Line Speech
+    items:
+      - name: Direct Line Speech overview
+        href: direct-line-speech.md
+      - name: Custom voice assistant quickstart
+        href: quickstarts/voice-assistants.md
+      - name: Voice enable your bot
+        href: tutorial-voice-enable-your-bot-speech-sdk.md
+
     {
       "source_path_from_root": "/articles/ai-services/qnamaker/how-to/migrate-to-openai.md",
       "redirect_url": "/azure/ai-services/qnamaker/overview/overview",

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

@@ -41,7 +41,7 @@ KeywordRecognitionResult result = await keywordRecognizer.RecognizeOnceAsync(key
 
 > [!NOTE]
 > The example shown here uses local keyword recognition, since it does not require a `SpeechConfig` 
-object for authentication context, and does not contact the back-end. However, you can run both keyword recognition and verification [utilizing a direct back-end connection](../../../tutorial-voice-enable-your-bot-speech-sdk.md#view-the-source-code-that-enables-keyword-detection).
+object for authentication context, and does not contact the back-end. 
 
 ### Continuous recognition
 

articles/ai-services/speech-service/includes/quickstarts/keyword-recognition/csharp.md

@@ -9,7 +9,7 @@ ms.date: 03/20/2020
 ms.author: travisw
 ---
 
-In this quickstart, you will use the [Speech SDK](~/articles/ai-services/speech-service/speech-sdk.md) to create a custom voice assistant application that connects to a bot that you have already authored and configured. If you need to create a bot, see [the related tutorial](~/articles/ai-services/speech-service/tutorial-voice-enable-your-bot-speech-sdk.md) for a more comprehensive guide.
+In this quickstart, you will use the [Speech SDK](~/articles/ai-services/speech-service/speech-sdk.md) to create a custom voice assistant application that connects to a bot that you have already authored and configured. 
 
 After satisfying a few prerequisites, connecting your custom voice assistant takes only a few steps:
 > [!div class="checklist"]

articles/ai-services/speech-service/includes/quickstarts/voice-assistants/header.md

@@ -106,20 +106,15 @@ The Speech SDK enables seamless use of on-device models generated by using custo
 
 You don't need to explicitly specify any configuration parameters. All necessary information is automatically extracted from the on-device model generated by custom keyword.
 
-The sample and tutorials linked here show how to use the Speech SDK:
-
- * [Voice assistant samples on GitHub](https://github.com/Azure-Samples/Cognitive-Services-Voice-Assistant)
- * [Tutorial: Voice enable your assistant built using Azure AI Bot Service with the C# Speech SDK](./tutorial-voice-enable-your-bot-speech-sdk.md)
 ## Speech SDK integration and scenarios
 
 The Speech SDK enables easy use of personalized on-device keyword recognition models generated with custom keyword and keyword verification. To ensure that your product needs can be met, the SDK supports the following two scenarios:
 
-| Scenario | Description | Samples |
-| -------- | ----------- | ------- |
-| End-to-end keyword recognition with speech to text | Best suited for products that use a customized on-device keyword model from custom keyword with keyword verification and speech to text. This scenario is the most common. | <ul><li>[Voice assistant sample code](https://github.com/Azure-Samples/Cognitive-Services-Voice-Assistant)</li><li>[Tutorial: Voice enable your assistant built using Azure AI Bot Service with the C# Speech SDK](./tutorial-voice-enable-your-bot-speech-sdk.md)</li></ul> |
-| Offline keyword recognition | Best suited for products without network connectivity that use a customized on-device keyword model from custom keyword. | <ul><li>[C# on Windows UWP sample](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/quickstart/csharp/uwp/keyword-recognizer)</li><li>[Java on Android sample](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/quickstart/java/android/keyword-recognizer)</li></ul>
+The offline keyword recognition scenario is best suited for products without network connectivity that use a customized on-device keyword model from custom keyword. 
+- [C# on Windows UWP sample](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/quickstart/csharp/uwp/keyword-recognizer)
+- [Java on Android sample](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/quickstart/java/android/keyword-recognizer)
 
-## Next steps
+## Related content
 
 * [Read the quickstart to generate on-device keyword recognition models using custom keyword](custom-keyword-basics.md)
 * [Learn more about voice assistants](voice-assistants.md)