Merge pull request #202297 from eric-urban/eur/lid-java

java supports stt lid

Author: PRMerger8

articles/cognitive-services/Speech-Service/language-identification.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: speech-service
 ms.topic: how-to
-ms.date: 06/13/2022
+ms.date: 06/21/2022
 ms.author: eur
 zone_pivot_groups: programming-languages-speech-services-nomore-variant
 ---
@@ -99,7 +99,7 @@ For more information, see [supported languages](language-support.md#language-ide
 Speech supports both at-start and continuous language identification (LID).
 
 > [!NOTE]
-> Continuous language identification is only supported with Speech SDKs in C#, C++, and Python.
+> Continuous language identification is only supported with Speech SDKs in C#, C++, Java ([for speech to text only](#speech-to-text)), and Python.
 - At-start LID identifies the language once within the first few seconds of audio. Use at-start LID if the language in the audio won't change.
 - Continuous LID can identify multiple languages for the duration of the audio. Use continuous LID if the language in the audio could change. Continuous LID does not support changing languages within the same sentence. For example, if you are primarily speaking Spanish and insert some English words, it will not detect the language change per word.
 
@@ -110,7 +110,7 @@ You implement at-start LID or continuous LID by calling methods for [recognize o
 You can choose to prioritize accuracy or latency with language identification.
 
 > [!NOTE]
-> Latency is prioritized by default with the Speech SDK. You can choose to prioritize accuracy or latency with the Speech SDKs for C#, C++, and Python.
+> Latency is prioritized by default with the Speech SDK. You can choose to prioritize accuracy or latency with the Speech SDKs for C#, C++, Java ([for speech to text only](#speech-to-text)), and Python.
 Prioritize `Latency` if you need a low-latency result such as during live streaming. Set the priority to `Accuracy` if the audio quality may be poor, and more latency is acceptable. For example, a voicemail could have background noise, or some silence at the beginning. Allowing the engine more time will improve language identification results.
 
 * **At-start:** With at-start LID in `Latency` mode the result is returned in less than 5 seconds. With at-start LID in `Accuracy` mode the result is returned within 30 seconds. You set the priority for at-start LID with the `SpeechServiceConnection_SingleLanguageIdPriority` property.
@@ -128,6 +128,7 @@ speechConfig.SetProperty(PropertyId.SpeechServiceConnection_ContinuousLanguageId
 ```
 
 ::: zone-end
+
 ::: zone pivot="programming-language-cpp"
 Here is an example of using continuous LID while still prioritizing latency.
 
@@ -136,6 +137,17 @@ speechConfig->SetProperty(PropertyId::SpeechServiceConnection_ContinuousLanguage
 ```
 
 ::: zone-end
+
+::: zone pivot="programming-language-java"
+Here is an example of using continuous LID while still prioritizing latency.
+
+```java
+speechConfig.setProperty(PropertyId.SpeechServiceConnection_ContinuousLanguageIdPriority, "Latency");
+```
+
+::: zone-end
+
+
 ::: zone pivot="programming-language-python"
 Here is an example of using continuous LID while still prioritizing latency.
 
@@ -198,6 +210,23 @@ recognizer->StartContinuousRecognitionAsync().get();
 recognizer->StopContinuousRecognitionAsync().get();
 ```
 
+::: zone-end
+::: zone pivot="programming-language-java"
+
+```java
+// Recognize once with At-start LID
+SpeechRecognitionResult  result = recognizer->RecognizeOnceAsync().get();
+
+// Start and stop continuous recognition with At-start LID
+recognizer.startContinuousRecognitionAsync().get();
+recognizer.stopContinuousRecognitionAsync().get();
+
+// Start and stop continuous recognition with Continuous LID
+speechConfig.setProperty(PropertyId.SpeechServiceConnection_ContinuousLanguageIdPriority, "Latency");
+recognizer.startContinuousRecognitionAsync().get();
+recognizer.stopContinuousRecognitionAsync().get();
+```
+
 ::: zone-end
 ::: zone pivot="programming-language-python"
 
@@ -206,13 +235,13 @@ recognizer->StopContinuousRecognitionAsync().get();
 result = recognizer.recognize_once()
 
 # Start and stop continuous recognition with At-start LID
-source_language_recognizer.start_continuous_recognition()
-source_language_recognizer.stop_continuous_recognition()
+recognizer.start_continuous_recognition()
+recognizer.stop_continuous_recognition()
 
 # Start and stop continuous recognition with Continuous LID
 speech_config.set_property(property_id=speechsdk.PropertyId.SpeechServiceConnection_ContinuousLanguageIdPriority, value='Latency')
-source_language_recognizer.start_continuous_recognition()
-source_language_recognizer.stop_continuous_recognition()
+recognizer.start_continuous_recognition()
+recognizer.stop_continuous_recognition()
 ```
 
 ::: zone-end
@@ -276,7 +305,7 @@ See more examples of standalone language identification on [GitHub](https://gith
 You use Speech-to-text recognition when you need to identify the language in an audio source and then transcribe it to text. For more information, see [Speech-to-text overview](speech-to-text.md).
 
 > [!NOTE]
-> Speech-to-text recognition with at-start language identification is supported with Speech SDKs in C#, C++, Python, Java, JavaScript, and Objective-C. Speech-to-text recognition with continuous language identification is only supported with Speech SDKs in C#, C++, and Python.
+> Speech-to-text recognition with at-start language identification is supported with Speech SDKs in C#, C++, Python, Java, JavaScript, and Objective-C. Speech-to-text recognition with continuous language identification is only supported with Speech SDKs in C#, C++, Java, and Python.
 > Currently for speech-to-text recognition with continuous language identification, you must create a SpeechConfig from the `wss://{region}.stt.speech.microsoft.com/speech/universal/v2` endpoint string, as shown in code examples. In a future SDK release you won't need to set it.
 
 ::: zone pivot="programming-language-csharp"
@@ -431,12 +460,16 @@ auto detectedLanguage = autoDetectSourceLanguageResult->Language;
 
 :::code language="cpp" source="~/samples-cognitive-services-speech-sdk/samples/cpp/windows/console/samples/speech_recognition_samples.cpp" id="SpeechContinuousRecognitionAndLanguageIdWithMultiLingualFile":::
 
+---
+
 ::: zone-end
 
 ::: zone pivot="programming-language-java"
 
 See more examples of speech-to-text recognition with language identification on [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/java/jre/console/src/com/microsoft/cognitiveservices/speech/samples/console/SpeechRecognitionSamples.java).
 
+### [Recognize once](#tab/once)
+
 ```java
 AutoDetectSourceLanguageConfig autoDetectSourceLanguageConfig =
     AutoDetectSourceLanguageConfig.fromLanguages(Arrays.asList("en-US", "de-DE"));
@@ -458,8 +491,14 @@ autoDetectSourceLanguageConfig.close();
 audioConfig.close();
 result.close();
 ```
+
+### [Continuous recognition](#tab/continuous)
+
+:::code language="java" source="~/samples-cognitive-services-speech-sdk/samples/java/jre/console/src/com/microsoft/cognitiveservices/speech/samples/console/SpeechRecognitionSamples.java" id="SpeechContinuousRecognitionAndLanguageId":::
+
 ---
 
+
 ::: zone-end
 
 ::: zone pivot="programming-language-python"