[CogSvcs] Speech: a few doc fixes

mahilleb-msft · mahilleb-msft · commit b25da4bf2e7b · 2019-06-12T09:50:16.000+02:00
diff --git a/articles/cognitive-services/Speech-Service/quickstart-dotnet-text-to-speech.md b/articles/cognitive-services/Speech-Service/quickstart-dotnet-text-to-speech.md
@@ -43,7 +43,7 @@ This quickstart requires C# 7.1 or later. There are a few ways to change the C#
 
 Open your project, then open `tts-sample.csproj`. Make sure that `LangVersion` is set to 7.1 or later. If there isn't a property group for the language version, add these lines:
 
-```csharp
+```xml
 <PropertyGroup>
    <LangVersion>7.1</LangVersion>
 </PropertyGroup>
diff --git a/articles/cognitive-services/Speech-Service/quickstart-nodejs-get-text-to-speech-voices.md b/articles/cognitive-services/Speech-Service/quickstart-nodejs-get-text-to-speech-voices.md
@@ -34,7 +34,7 @@ Create a new Node.js project using your favorite IDE or editor. Then copy this c
 // Requires request and request-promise for HTTP requests
 // e.g. npm install request request-promise
 const rp = require('request-promise');
-// Requires fs to write the list of languagesto a file
+// Requires fs to write the list of languages to a file
 const fs = require('fs');
 ```
 
diff --git a/articles/cognitive-services/Speech-Service/speech-devices-sdk-android-quickstart.md b/articles/cognitive-services/Speech-Service/speech-devices-sdk-android-quickstart.md
@@ -33,7 +33,7 @@ Before you start using the Speech Devices SDK, you'll need to:
 
 * To get an [Azure subscription key for Speech Services](get-started.md)
 
-* If you plan to use the Conversation Transcription you must use a [circular microphone device](get-speech-devices-sdk.md) and the service is currently only available for "en-US" and "zh-CN" in regions, “centralus” and “eastasia”. You must have a speech key in one of those regions to use Conversation Transcription.
+* If you plan to use the Conversation Transcription you must use a [circular microphone device](get-speech-devices-sdk.md) and this feature is currently only available for "en-US" and "zh-CN" in regions, “centralus” and “eastasia”. You must have a speech key in one of those regions to use Conversation Transcription.
 
 * If you plan to use the Speech Services to identify intents (or actions) from user utterances, you'll need a [Language Understanding Service (LUIS)](https://docs.microsoft.com/azure/cognitive-services/luis/azureibizasubscription) subscription. To learn more about LUIS and intent recognition, see [Recognize speech intents with LUIS, C#](https://docs.microsoft.com/azure/cognitive-services/speech-service/how-to-recognize-intents-from-speech-csharp).
 
diff --git a/articles/cognitive-services/Speech-Service/speech-to-text.md b/articles/cognitive-services/Speech-Service/speech-to-text.md
@@ -52,7 +52,7 @@ We offer quickstarts in most popular programming languages, each designed to hav
 | [C++](https://docs.microsoft.com/azure/cognitive-services/speech-service/quickstart-cpp-windows) | Windows | [Browse](https://aka.ms/csspeech/cppref)|
 | [C++](https://docs.microsoft.com/azure/cognitive-services/speech-service/quickstart-cpp-linux) | Linux | [Browse](https://aka.ms/csspeech/cppref) |
 | [Java](https://docs.microsoft.com/azure/cognitive-services/speech-service/quickstart-java-android) | Android | [Browse](https://aka.ms/csspeech/javaref) |
-| [Java](https://docs.microsoft.com/azure/cognitive-services/speech-service/quickstart-java-jre) | Windows, Linux | [Browse](https://aka.ms/csspeech/javaref) |
+| [Java](https://docs.microsoft.com/azure/cognitive-services/speech-service/quickstart-java-jre) | Windows, Linux, macOS | [Browse](https://aka.ms/csspeech/javaref) |
 | [JavaScript, Browser](https://docs.microsoft.com/azure/cognitive-services/speech-service/quickstart-js-browser) | Browser, Windows, Linux, macOS | [Browse](https://aka.ms/AA434tv) |
 | [JavaScript, Node.js](https://docs.microsoft.com/azure/cognitive-services/speech-service/quickstart-js-node) | Windows, Linux, macOS | [Browse](https://aka.ms/AA434tv) |
 | [Objective-C](https://docs.microsoft.com/azure/cognitive-services/speech-service/quickstart-objectivec-ios) | iOS | [Browse](https://aka.ms/csspeech/objectivecref) |
diff --git a/articles/cognitive-services/Speech-Service/speech-translation.md b/articles/cognitive-services/Speech-Service/speech-translation.md
@@ -41,7 +41,7 @@ We offer quickstarts designed to have you running code in less than 10 minutes.
 | [C#, .NET Framework](quickstart-translate-speech-dotnetframework-windows.md) | Windows | [Browse](https://aka.ms/csspeech/csharpref) |
 | [C#, UWP](quickstart-translate-speech-uwp.md) | Windows | [Browse](https://aka.ms/csspeech/csharpref) |
 | [C++](quickstart-translate-speech-cpp-windows.md) | Windows | [Browse](https://aka.ms/csspeech/cppref)|
-| [Java](quickstart-translate-speech-java-jre.md) | Windows | [Browse](https://aka.ms/csspeech/javaref) |
+| [Java](quickstart-translate-speech-java-jre.md) | Windows, Linux, macOS | [Browse](https://aka.ms/csspeech/javaref) |
 
 ## Sample code
 
diff --git a/articles/cognitive-services/Speech-Service/text-to-speech.md b/articles/cognitive-services/Speech-Service/text-to-speech.md
@@ -27,7 +27,7 @@ Standard voices are created using Statistical Parametric Synthesis and/or Concat
 
 Neural voices use deep neural networks to overcome the limits of traditional text-to-speech systems in matching the patterns of stress and intonation in spoken language, and in synthesizing the units of speech into a computer voice. Standard text-to-speech breaks down prosody into separate linguistic analysis and acoustic prediction steps that are governed by independent models. That can result in muffled, buzzy voice synthesis. Our neural capability does prosody prediction and voice synthesis simultaneously, which results in a more fluid and natural-sounding voice.
 
-Neural voices can be used to make interactions with chatbots and virtual assistants more natural and engaging, convert digital texts such as e-books into audiobooks and enhance in-car navigation systems. With the human-like natural prosody and clear articulation of words, Neural voices significantly reduce listening fatigue when you interact with AI systems. 
+Neural voices can be used to make interactions with chatbots and virtual assistants more natural and engaging, convert digital texts such as e-books into audiobooks and enhance in-car navigation systems. With the human-like natural prosody and clear articulation of words, neural voices significantly reduce listening fatigue when you interact with AI systems. 
 
 Neural voices support different styles, such as neutral and cheerful. For example, the Jessa (en-US) voice can speak cheerfully, which is optimized for warm, happy conversation. You can adjust the voice output, like tone, pitch, and speed using [Speech Synthesis Markup Language](speech-synthesis-markup.md). For a full list of available voices, see [supported languages](language-support.md#text-to-speech).
 
