Merge pull request #191015 from dargilco/dargilco/remove-term-at-start

Revert back to the term single-shot instead of at-start

Author: PRMerger6

articles/cognitive-services/Speech-Service/call-center-transcription.md

@@ -140,7 +140,7 @@ The Speech service works well with built-in models. However, you might want to f
 
 ## Sample code
 
-Sample code is available on GitHub for each of the Speech service features. These samples cover common scenarios, such as reading audio from a file or stream, continuous and at-start recognition, and working with custom models. To view SDK and REST samples, see:
+Sample code is available on GitHub for each of the Speech service features. These samples cover common scenarios, such as reading audio from a file or stream, continuous and single-shot recognition, and working with custom models. To view SDK and REST samples, see:
 
 - [Speech-to-text and speech translation samples (SDK)](https://github.com/Azure-Samples/cognitive-services-speech-sdk)
 - [Batch transcription samples (REST)](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/batch)

articles/cognitive-services/Speech-Service/how-to-recognize-intents-from-speech-csharp.md

@@ -142,14 +142,14 @@ Instead of adding individual intents, you can also use the `AddAllIntents` metho
 
 ## Start recognition
 
-With the recognizer created and the intents added, recognition can begin. The Speech SDK supports both at-start and continuous recognition.
+With the recognizer created and the intents added, recognition can begin. The Speech SDK supports both single-shot and continuous recognition.
 
 | Recognition mode | Methods to call | Result |
 | ---------------- | --------------- | ------ |
-| At-start | `RecognizeOnceAsync()` | Returns the recognized intent, if any, after one utterance. |
+| Single-shot | `RecognizeOnceAsync()` | Returns the recognized intent, if any, after one utterance. |
 | Continuous | `StartContinuousRecognitionAsync()`<br>`StopContinuousRecognitionAsync()` | Recognizes multiple utterances; emits events (for example, `IntermediateResultReceived`) when results are available. |
 
-The application uses at-start mode and so calls `RecognizeOnceAsync()` to begin recognition. The result is an `IntentRecognitionResult` object containing information about the intent recognized. You extract the LUIS JSON response by using the following expression:
+The application uses single-shot mode and so calls `RecognizeOnceAsync()` to begin recognition. The result is an `IntentRecognitionResult` object containing information about the intent recognized. You extract the LUIS JSON response by using the following expression:
 
 ```csharp
 result.Properties.GetProperty(PropertyId.LanguageUnderstandingServiceResponse_JsonResult)

articles/cognitive-services/Speech-Service/includes/quickstarts/speech-translation-basics/javascript.md

@@ -105,7 +105,7 @@ const recognizer = new TranslationRecognizer(speechTranslationConfig, audioConfi
 
 The [TranslationRecognizer class](/javascript/api/microsoft-cognitiveservices-speech-sdk/translationrecognizer) for the Speech SDK for JavaScript exposes methods that you can use for speech translation:
 
-* *At-start translation (async)*: Performs translation in a nonblocking (asynchronous) mode. It translates a single utterance. It determines the end of a single utterance by listening for silence at the end or until a maximum of 15 seconds of audio is processed.
+* *Single-shot translation (async)*: Performs translation in a nonblocking (asynchronous) mode. It translates a single utterance. It determines the end of a single utterance by listening for silence at the end or until a maximum of 15 seconds of audio is processed.
 * *Continuous translation (async)*: Asynchronously initiates a continuous translation operation. The user registers to events and handles various application states. To stop asynchronous continuous translation, call [`stopContinuousRecognitionAsync`](/javascript/api/microsoft-cognitiveservices-speech-sdk/translationrecognizer#stopcontinuousrecognitionasync).
 
 To learn more about how to choose a speech recognition mode, see [Get started with speech-to-text](../../../get-started-speech-to-text.md).
@@ -124,9 +124,9 @@ speechTranslationConfig.speechRecognitionLanguage = "en-US";
 speechTranslationConfig.addTargetLanguage("de");
 ```
 
-### At-start recognition
+### Single-shot recognition
 
-Here's an example of asynchronous at-start translation via [`recognizeOnceAsync`](/javascript/api/microsoft-cognitiveservices-speech-sdk/translationrecognizer#recognizeonceasync):
+Here's an example of asynchronous single-shot translation via [`recognizeOnceAsync`](/javascript/api/microsoft-cognitiveservices-speech-sdk/translationrecognizer#recognizeonceasync):
 
 ```javascript
 recognizer.recognizeOnceAsync(result => {
@@ -172,7 +172,7 @@ recognizer.recognized = function (s, e) {
 
 ### Continuous translation
 
-Continuous translation is a bit more involved than at-start recognition. It requires you to subscribe to the `recognizing`, `recognized`, and `canceled` events to get the recognition results. To stop translation, you must call [`stopContinuousRecognitionAsync`](/javascript/api/microsoft-cognitiveservices-speech-sdk/translationrecognizer#stopcontinuousrecognitionasync). 
+Continuous translation is a bit more involved than single-shot recognition. It requires you to subscribe to the `recognizing`, `recognized`, and `canceled` events to get the recognition results. To stop translation, you must call [`stopContinuousRecognitionAsync`](/javascript/api/microsoft-cognitiveservices-speech-sdk/translationrecognizer#stopcontinuousrecognitionasync). 
 
 Here's an example of how continuous translation is performed on an audio input file. Let's start by defining the input and initializing [`TranslationRecognizer`](/javascript/api/microsoft-cognitiveservices-speech-sdk/translationrecognizer):
 

articles/cognitive-services/Speech-Service/includes/release-notes/release-notes-sdk.md

@@ -146,7 +146,7 @@ ms.author: eur
 
 #### New features
 
-- **C++/C#**: New stand-alone Single-Shot/At-Start and Continuous Language Detection via the `SourceLanguageRecognizer` API. If you only want to detect the language(s) spoken in audio content, this is the API to do that. See details for [C++](/cpp/cognitive-services/speech/sourcelanguagerecognizer) and [C#](/dotnet/api/microsoft.cognitiveservices.speech.sourcelanguagerecognizer).
+- **C++/C#**: New stand-alone At-Start and Continuous Language Detection via the `SourceLanguageRecognizer` API. If you only want to detect the language(s) spoken in audio content, this is the API to do that. See details for [C++](/cpp/cognitive-services/speech/sourcelanguagerecognizer) and [C#](/dotnet/api/microsoft.cognitiveservices.speech.sourcelanguagerecognizer).
 - **C++/C#**: Speech Recognition and Translation Recognition now support both at-start and continuous Language Identification so you can programmatically determine which language(s) are being spoken before they are transcribed or translated. See documentation [here for Speech Recognition](../../how-to-automatic-language-detection.md) and [here for Speech Translation](../../get-started-speech-translation.md).
 - **C#**:  Added support Unity support to macOS (x64). This unlocks speech recognition and speech synthesis use cases in mixed reality and gaming!
 - **Go**: We added support for speech synthesis/Text-to-Speech to the Go programming language to make speech synthesis available in even more use cases. See our [quickstart](../../get-started-text-to-speech.md?tabs=windowsinstall&pivots=programming-language-go) or our [reference documentation](https://pkg.go.dev/github.com/Microsoft/cognitive-services-speech-sdk-go).

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

@@ -99,7 +99,7 @@ After you've had a chance to get started with the Speech service, try our tutori
 
 ## Get sample code
 
-Sample code is available on GitHub for the Speech service. These samples cover common scenarios like reading audio from a file or stream, continuous and at-start recognition, and working with custom models. Use these links to view SDK and REST samples:
+Sample code is available on GitHub for the Speech service. These samples cover common scenarios like reading audio from a file or stream, continuous and single-shot recognition, and working with custom models. Use these links to view SDK and REST samples:
 
 - [Speech-to-text, text-to-speech, and speech translation samples (SDK)](https://github.com/Azure-Samples/cognitive-services-speech-sdk)
 - [Batch transcription samples (REST)](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/batch)

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

@@ -35,7 +35,7 @@ To get started with speech-to-text, see the [quickstart](get-started-speech-to-t
 
 ## Sample code
 
-Sample code for the Speech SDK is available on GitHub. These samples cover common scenarios like reading audio from a file or stream, continuous and at-start recognition, and working with custom models:
+Sample code for the Speech SDK is available on GitHub. These samples cover common scenarios like reading audio from a file or stream, continuous and single-shot recognition, and working with custom models:
 
 - [Speech-to-text samples (SDK)](https://github.com/Azure-Samples/cognitive-services-speech-sdk)
 - [Batch transcription samples (REST)](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/batch)

articles/cognitive-services/Speech-Service/speech-translation.md

@@ -33,7 +33,7 @@ As your first step, see [Get started with speech translation](get-started-speech
 
 ## Sample code
 
-You'll find [Speech SDK speech-to-text and translation samples](https://github.com/Azure-Samples/cognitive-services-speech-sdk) on GitHub. These samples cover common scenarios, such as reading audio from a file or stream, continuous and at-start recognition and translation, and working with custom models.
+You'll find [Speech SDK speech-to-text and translation samples](https://github.com/Azure-Samples/cognitive-services-speech-sdk) on GitHub. These samples cover common scenarios, such as reading audio from a file or stream, continuous and single-shot recognition and translation, and working with custom models.
 
 ## Migration guides