Merge pull request #235029 from eric-urban/patch-2

Batch LID

Author: prmerger-automator[bot]

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: 02/27/2023
+ms.date: 04/19/2023
 ms.author: eur
 zone_pivot_groups: programming-languages-speech-services-nomore-variant
 ---
@@ -494,7 +494,7 @@ speechRecognizer.recognizeOnceAsync((result: SpeechSDK.SpeechRecognitionResult)
 
 ::: zone-end
 
-### Using Speech-to-text custom models
+### Speech-to-text custom models
 
 > [!NOTE]
 > Language detection with custom models can only be used with real-time speech to text and speech translation. Batch transcription only supports language detection for base models. 
@@ -587,35 +587,6 @@ var autoDetectSourceLanguageConfig = SpeechSDK.AutoDetectSourceLanguageConfig.fr
 
 ::: zone-end
 
-### Using Speech-to-text batch transcription
-
-To identify languages in [Batch transcription](batch-transcription.md), you need to use `languageIdentification` property in the body of your [transcription REST request](https://eastus.dev.cognitive.microsoft.com/docs/services/speech-to-text-api-v3-1/operations/Transcriptions_Create). The example in this section shows the usage of `languageIdentification` property with four candidate languages.
-
-> [!WARNING]
-> Batch transcription only supports language identification for base models. If both language identification and a custom model are specified in the transcription request, the service will fall back to use the base models for the specified candidate languages. This may result in unexpected recognition results.
->
-> If your speech to text scenario requires both language identification and custom models, use [real-time speech to text](#using-speech-to-text-custom-models) instead of batch transcription.
-
-```json
-{
-	<...>
-	
-	"properties": {		
-		<...>
-		
-		"languageIdentification": {
-			"candidateLocales": [
-				"en-US",
-				"ja-JP",
-				"zh-CN",
-				"hi-IN"
-			]
-		},	
-		<...>
-	}
-}
-```
-
 ## Speech translation
 
 You use Speech translation when you need to identify the language in an audio source and then translate it to another language. For more information, see [Speech translation overview](speech-translation.md).
@@ -1119,6 +1090,37 @@ When you run language ID in a container, use the `SourceLanguageRecognizer` obje
 For more information about containers, see the [language identification speech containers](speech-container-lid.md#use-the-container) how-to guide.
 
 
+## Speech-to-text batch transcription
+
+To identify languages with [Batch transcription REST API](batch-transcription.md), you need to use `languageIdentification` property in the body of your [Transcriptions_Create](https://eastus.dev.cognitive.microsoft.com/docs/services/speech-to-text-api-v3-1/operations/Transcriptions_Create) request. 
+
+> [!WARNING]
+> Batch transcription only supports language identification for base models. If both language identification and a custom model are specified in the transcription request, the service will fall back to use the base models for the specified candidate languages. This may result in unexpected recognition results.
+>
+> If your speech to text scenario requires both language identification and custom models, use [real-time speech to text](#speech-to-text-custom-models) instead of batch transcription.
+
+The following example shows the usage of the `languageIdentification` property with four candidate languages. For more information about request properties see [Create a batch transcription](batch-transcription-create.md#request-configuration-options).
+
+```json
+{
+    <...>
+    
+    "properties": {
+    <...>
+    
+        "languageIdentification": {
+            "candidateLocales": [
+            "en-US",
+            "ja-JP",
+            "zh-CN",
+            "hi-IN"
+            ]
+        },	
+        <...>
+    }
+}
+```
+
 ## Next steps
 
 * [Try the speech to text quickstart](get-started-speech-to-text.md)