dev or no code tracks

Author: eric-urban

articles/cognitive-services/Speech-Service/how-to-audio-content-creation.md

@@ -14,10 +14,15 @@ ms.author: eur
 
 # Speech synthesis with the Audio Content Creation tool
 
-You can use the [Audio Content Creation](https://aka.ms/audiocontentcreation) tool in Speech Studio for text-to-speech synthesis without writing any code. Build highly natural audio content for a variety of scenarios, such as audiobooks, news broadcasts, video narrations, and chat bots. With Audio Content Creation, you can efficiently fine-tune text-to-speech voices and design customized audio experiences.
+You can use the [Audio Content Creation](https://aka.ms/audiocontentcreation) tool in Speech Studio for text-to-speech synthesis without writing any code. You can use the output audio as-is, or as a starting point for further customization. 
+
+Build highly natural audio content for a variety of scenarios, such as audiobooks, news broadcasts, video narrations, and chat bots. With Audio Content Creation, you can efficiently fine-tune text-to-speech voices and design customized audio experiences. 
 
 The tool is based on [Speech Synthesis Markup Language (SSML)](speech-synthesis-markup.md). It allows you to adjust text-to-speech output attributes in real time or batch synthesis, such as voice characters, voice styles, speaking speed, pronunciation, and prosody.
 
+- No-code approach: You can use the Audio Content Creation tool for text-to-speech synthesis without writing any code. The output audio might be the final deliverable that you want. For example, you can use the output audio for a podcast or a video narration. 
+- Developer-friendly: You can listen to the output audio and adjust the SSML to improve speech synthesis. Then you can use the [Speech SDK](speech-sdk.md) or [Speech CLI](spx-basics.md) to integrate the SSML into your applications. For example, you can use the SSML for building a chat bot.
+
 You have easy access to a broad portfolio of [languages and voices](language-support.md?tabs=stt-tts). These voices include state-of-the-art prebuilt neural voices and your custom neural voice, if you've built one.
 
 To learn more, view the Audio Content Creation tutorial video [on YouTube](https://youtu.be/ygApYuOOG6w).

articles/cognitive-services/Speech-Service/speech-studio-overview.md

@@ -30,7 +30,7 @@ In Speech Studio, the following Speech service features are available as project
 
 * [Custom Voice](https://aka.ms/speechstudio/customvoice): Create custom, one-of-a-kind voices for text-to-speech. You supply audio files and create matching transcriptions in Speech Studio, and then use the custom voices in your applications. To create and use custom voices via endpoints, see [Create and use your voice model](how-to-custom-voice-create-voice.md). 
 
-* [Audio Content Creation](https://aka.ms/speechstudio/audiocontentcreation): A no-code approach for text-to-speech synthesis. You can build highly natural audio content for a variety of scenarios, such as audiobooks, news broadcasts, video narrations, and chat bots. For more information, see the [Audio Content Creation](how-to-audio-content-creation.md) documentation.
+* [Audio Content Creation](https://aka.ms/speechstudio/audiocontentcreation): A no-code approach for text-to-speech synthesis. You can use the output audio as-is, or as a starting point for further customization. You can build highly natural audio content for a variety of scenarios, such as audiobooks, news broadcasts, video narrations, and chat bots. For more information, see the [Audio Content Creation](how-to-audio-content-creation.md) documentation.
 
 * [Custom Keyword](https://aka.ms/speechstudio/customkeyword): A custom keyword is a word or short phrase that you can use to voice-activate a product. You create a custom keyword in Speech Studio, and then generate a binary file to [use with the Speech SDK](custom-keyword-basics.md) in your applications.
 

articles/cognitive-services/Speech-Service/speech-synthesis-markup.md

@@ -18,6 +18,9 @@ ms.custom: "devx-track-js, devx-track-csharp"
 
 Speech Synthesis Markup Language (SSML) is an XML-based markup language that lets developers specify how input text is converted into synthesized speech by using text-to-speech. Compared to plain text, SSML allows developers to fine-tune the pitch, pronunciation, speaking rate, volume, and more of the text-to-speech output. Normal punctuation, such as pausing after a period, or using the correct intonation when a sentence ends with a question mark are automatically handled.
 
+> [!TIP]
+> Author plain text and SSML using the [Audio Content Creation](https://aka.ms/audiocontentcreation) tool in Speech Studio. You can listen to the output audio and adjust the SSML to improve speech synthesis. For more information, see [Speech synthesis with the Audio Content Creation tool](how-to-audio-content-creation.md).
+
 The Speech service implementation of SSML is based on the World Wide Web Consortium's [Speech Synthesis Markup Language Version 1.0](https://www.w3.org/TR/2004/REC-speech-synthesis-20040907/).
 
 > [!IMPORTANT]

articles/cognitive-services/Speech-Service/text-to-speech.md

@@ -51,7 +51,7 @@ Here's more information about neural text-to-speech features in the Speech servi
 
 * **Fine-tuning text-to-speech output with SSML**: Speech Synthesis Markup Language (SSML) is an XML-based markup language that's used to customize text-to-speech outputs. With SSML, you can adjust pitch, add pauses, improve pronunciation, change speaking rate, adjust volume, and attribute multiple voices to a single document.
 
-  You can use SSML to define your own lexicons or switch to different speaking styles. With the [multilingual voices](https://techcommunity.microsoft.com/t5/azure-ai/azure-text-to-speech-updates-at-build-2021/ba-p/2382981), you can also adjust the speaking languages via SSML. To fine-tune the voice output for your scenario, see [Improve synthesis with Speech Synthesis Markup Language](speech-synthesis-markup.md).
+  You can use SSML to define your own lexicons or switch to different speaking styles. With the [multilingual voices](https://techcommunity.microsoft.com/t5/azure-ai/azure-text-to-speech-updates-at-build-2021/ba-p/2382981), you can also adjust the speaking languages via SSML. To fine-tune the voice output for your scenario, see [Improve synthesis with Speech Synthesis Markup Language](speech-synthesis-markup.md) and [Speech synthesis with the Audio Content Creation tool](how-to-audio-content-creation.md).
 
 * **Visemes**: [Visemes](how-to-speech-synthesis-viseme.md) are the key poses in observed speech, including the position of the lips, jaw, and tongue in producing a particular phoneme. Visemes have a strong correlation with voices and phonemes.