Merge pull request #223643 from eric-urban/eur/maintenance-pass

content maintenance

Author: prmerger-automator[bot]

articles/cognitive-services/Speech-Service/batch-synthesis.md

@@ -26,7 +26,7 @@ This diagram provides a high-level overview of the workflow.
 ![Diagram of the Batch Synthesis API workflow.](media/long-audio-api/long-audio-api-workflow.png)
 
 > [!TIP]
-> You can also use the [Speech SDK](speech-sdk.md) to create synthesized audio longer than 10 minutes by iterating over the text and synthesizing it in chunks. 
+> You can also use the [Speech SDK](speech-sdk.md) to create synthesized audio longer than 10 minutes by iterating over the text and synthesizing it in chunks. For a C# example, see [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/csharp/sharedcontent/console/speech_synthesis_samples.cs).
 
 You can use the following REST API operations for batch synthesis:
 

articles/cognitive-services/Speech-Service/ingestion-client.md

@@ -41,12 +41,11 @@ Internally, the tool uses Speech and Language services, and follows best practic
 
 :::image type="content" source="media/ingestion-client/architecture-1.png" alt-text="Diagram that shows the Ingestion Client Architecture.":::
 
-The following Speech service features are used by the Ingestion Client:
+The following Speech service feature is used by the Ingestion Client:
 
 - [Batch speech-to-text](./batch-transcription.md): Transcribe large amounts of audio files asynchronously including speaker diarization and is typically used in post-call analytics scenarios. Diarization is the process of recognizing and separating speakers in mono channel audio data.
-- [Speaker identification](./speaker-recognition-overview.md): Helps you determine an unknown speaker’s identity within a group of enrolled speakers and is typically used for call center customer verification scenarios or fraud detection.
 
-Language service features used by the Ingestion Client:
+Here are some Language service features that are used by the Ingestion Client:
 
 - [Personally Identifiable Information (PII) extraction and redaction](../language-service/personally-identifiable-information/how-to-call-for-conversations.md): Identify, categorize, and redact sensitive information in conversation transcription.
 - [Sentiment analysis and opinion mining](../language-service/sentiment-opinion-mining/overview.md): Analyze transcriptions and associate positive, neutral, or negative sentiment at the utterance and conversation-level.

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

@@ -42,12 +42,13 @@ Speech feature summaries are provided below with links for more information.
 
 Use [speech-to-text](speech-to-text.md) to transcribe audio into text, either in real time or asynchronously. 
 
+> [!TIP]
+> You can try speech-to-text in [Speech Studio](https://aka.ms/speechstudio/speechtotexttool) without signing up or writing any code.
+
 Convert audio to text from a range of sources, including microphones, audio files, and blob storage. Use speaker diarisation to determine who said what and when. Get readable transcripts with automatic formatting and punctuation. 
 
 The base model may not be sufficient if the audio contains ambient noise or includes a lot of industry and domain-specific jargon. In these cases, you can create and train [custom speech models](custom-speech-overview.md) with acoustic, language, and pronunciation data. Custom speech models are private and can offer a competitive advantage. 
 
-You can try speech to text with [this demo web app](https://azure.microsoft.com/services/cognitive-services/speech-to-text/#features) or in the [Speech Studio](https://aka.ms/speechstudio/speechtotexttool).
-
 ### Text-to-speech
 
 With [text to speech](text-to-speech.md), you can convert input text into humanlike synthesized speech. Use neural voices, which are humanlike voices powered by deep neural networks. Use the [Speech Synthesis Markup Language (SSML)](speech-synthesis-markup.md) to fine-tune the pitch, pronunciation, speaking rate, volume, and more.
@@ -101,8 +102,6 @@ We offer quickstarts in many popular programming languages. Each quickstart is d
 * [Speech-to-text quickstart](get-started-speech-to-text.md)
 * [Text-to-speech quickstart](get-started-text-to-speech.md)
 * [Speech translation quickstart](./get-started-speech-translation.md)
-* [Intent recognition quickstart](./get-started-intent-recognition.md)
-* [Speaker recognition quickstart](./get-started-speaker-recognition.md)
 
 ## Code samples
 

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

@@ -21,15 +21,14 @@ In this overview, you learn about the benefits and capabilities of the speech-to
 Speech-to-text, also known as speech recognition, enables real-time or offline transcription of audio streams into text. For a full list of available speech-to-text languages, see [Language and voice support for the Speech service](language-support.md?tabs=stt).
 
 > [!NOTE]
-> Microsoft uses the same recognition technology for Cortana and Office products.
+> Microsoft uses the same recognition technology for Windows and Office products.
 
 ## Get started
 
 To get started, try the [speech-to-text quickstart](get-started-speech-to-text.md). Speech-to-text is available via the [Speech SDK](speech-sdk.md), the [REST API](rest-speech-to-text.md), and the [Speech CLI](spx-overview.md).
 
 In depth samples are available in the [Azure-Samples/cognitive-services-speech-sdk](https://aka.ms/csspeech/samples) repository on GitHub. There are samples for C# (including UWP, Unity, and Xamarin), C++, Java, JavaScript (including Browser and Node.js), Objective-C, Python, and Swift. Code samples for Go are available in the [Microsoft/cognitive-services-speech-sdk-go](https://github.com/Microsoft/cognitive-services-speech-sdk-go) repository on GitHub.
 
-
 ## Batch transcription
 
 Batch transcription is a set of [Speech-to-text REST API](rest-speech-to-text.md) operations that enable you to transcribe a large amount of audio in storage. You can point to audio files with a shared access signature (SAS) URI and asynchronously receive transcription results. For more information on how to use the batch transcription API, see [How to use batch transcription](batch-transcription.md) and [Batch transcription samples (REST)](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/batch).