add jan and update dates

Author: laujan

articles/ai-services/content-understanding/audio/overview.md

@@ -2,13 +2,12 @@
 title: Azure AI Content Understanding audio overview
 titleSuffix: Azure AI services
 description: Learn about Azure AI Content Understanding audio solutions
-author: jagoerge
-ms.author: lajanuar
+author: laujan
+ms.author: jagoerge
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 05/06/2025
-ms.custom: release-preview-2-cu
+ms.date: 05/19/2025
 ---
 
 
@@ -33,7 +32,7 @@ Here are common scenarios for using Content Understanding with conversational au
 :::image type="content" source="../media/audio/overview/workflow-diagram.png" lightbox="../media/audio/overview/workflow-diagram.png" alt-text="Illustration of Content Understanding audio workflow.":::
 
 Content Understanding serves as a cornerstone for Media Asset Management solutions, enabling the following capabilities for audio files:
-  
+
 ### Content extraction
 
 * **Transcription**. Converts conversational audio into searchable and analyzable text-based transcripts in WebVTT format. Customizable fields can be generated from transcription data. Sentence-level and word-level timestamps are available upon request.
@@ -46,7 +45,7 @@ Content Understanding serves as a cornerstone for Media Asset Management solutio
 
 * **Speaker role detection**. Identifies agent and customer roles within contact center call data.
 
-* **Multilingual transcription**. Generates multilingual transcripts, applying language/locale per phrase. Deviating from language detection this feature is enabled when no language/locale is specified or language is set to 'auto'.
+* **Multilingual transcription**. Generates multilingual transcripts, applying language/locale per phrase. Deviating from language detection this feature is enabled when no language/locale is specified or language is set to `auto`.
 
 > [!NOTE]
 > The following locales are currently supported:
@@ -74,27 +73,28 @@ Content Understanding offers advanced audio capabilities, including:
 
 * **Scenario adaptability**. Adapt the service to your requirements by generating custom fields and extract relevant data.
 
-## Content Understanding prebuild audio analyzers
+## Content Understanding prebuilt audio analyzers
 
-The prebuild analyzers allow extracting valuable insights into audio content without the need to create an analyzer setup.
+The prebuilt analyzers allow extracting valuable insights into audio content without the need to create an analyzer setup.
 
 All audio analyzers generate transcripts in standard WEBVTT format separated by speaker.
 
 > [!NOTE]
-> Prebuild analyzers are set to use multilingual transcription and returnDetails enabled!
+> Prebuilt analyzers are set to use multilingual transcription and returnDetails enabled!
 
-Content Understanding offers the following prebuild analyzers:
+Content Understanding offers the following prebuilt analyzers:
 
 **Post-call analysis (prebuilt-callCenter)**. Analyze call recordings to generate:
-- conversation transcripts with speaker role detection result
-- call summary
-- call sentiment
-- top five articles mentioned
-- list of companies mentioned
-- list of people (name and title/role) mentioned
-- list of relevant call categories
-
-**Example result:** 
+
+* conversation transcripts with speaker role detection result
+* call summary
+* call sentiment
+* top five articles mentioned
+* list of companies mentioned
+* list of people (name and title/role) mentioned
+* list of relevant call categories
+
+**Example result:**
 ```json
 {
   "id": "bc36da27-004f-475e-b808-8b8aead3b566",
@@ -213,7 +213,7 @@ Content Understanding offers the following prebuild analyzers:
 - conversation transcripts
 - conversation summary
 
-**Example result:** 
+**Example result:**
 ```json
 {
   "id": "9624cc49-b6b3-4ce5-be6c-e895d8c2484d",
@@ -258,11 +258,11 @@ Content Understanding offers the following prebuild analyzers:
 }
 ```
 
-You can also customize prebuild analyzers for more fine-grained control of the output by defining custom fields. Customization allows you to use the full power of generative models to extract deep insights from the audio. For example, customization allows you to:
-- Generate other insights
-- Control the language of the field extraction output
-- Configure the transcription behavior
-- and more
+You can also customize prebuilt analyzers for more fine-grained control of the output by defining custom fields. Customization allows you to use the full power of generative models to extract deep insights from the audio. For example, customization allows you to:
+
+* Generate other insights.
+* Control the language of the field extraction output.
+* Configure the transcription behavior.
 
 ## Input requirements
 For a detailed list of supported audio formats, refer to our [Service limits and codecs](../service-limits.md) page.

articles/ai-services/content-understanding/concepts/accuracy-confidence.md

@@ -7,7 +7,7 @@ ms.author: admaheshwari
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: reference
-ms.date: 04/09/2025
+ms.date: 05/19/2025
 ---
 
 # Interpret and improve confidence and accuracy scores

articles/ai-services/content-understanding/concepts/analyzer-templates.md

@@ -7,7 +7,7 @@ ms.author: kabrow
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 05/01/2025
+ms.date: 05/19/2025
 ms.custom: ignite-2024-understanding-release
 ---
 

articles/ai-services/content-understanding/concepts/best-practices.md

@@ -7,7 +7,7 @@ ms.author: jfilcik
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 02/24/2025
+ms.date: 05/19/2025
 ---
 
 # Best practices for Content Understanding

articles/ai-services/content-understanding/concepts/capabilities.md

@@ -7,7 +7,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 02/25/2025
+ms.date: 05/19/2025
 ms.custom: 2025-understanding-release
 ---
 

articles/ai-services/content-understanding/concepts/retrieval-augmented-generation.md

@@ -7,7 +7,7 @@ ms.author: tonyeiyalla
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 03/16/2025
+ms.date: 05/19/2025
 ms.custom: 2025-understanding-release
 ---
 # Multimodal retrieval-augmented generation with Content Understanding

articles/ai-services/content-understanding/document/overview.md

@@ -7,7 +7,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 05/01/2025
+ms.date: 05/19/2025
 ms.custom: ignite-2024-understanding-release
 ---
 

articles/ai-services/content-understanding/faq.yml

@@ -6,7 +6,7 @@ metadata:
   manager: nitinme
   ms.service: azure-ai-content-understanding
   ms.topic: faq
-  ms.date: 04/14/2025
+  ms.date: 05/19/2025
   ms.author: lajanuar
 title: Frequently asked questions
 summary: |

articles/ai-services/content-understanding/glossary.md

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: conceptual
-ms.date: 04/14/2025
+ms.date: 05/19/2025
 ms.author: lajanuar
 ---
 

articles/ai-services/content-understanding/how-to/create-multi-service-resource.md

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: how-to
-ms.date: 02/19/2025
+ms.date: 05/19/2025
 ms.custom: ignite-2024-understanding-release, references_regions
 ms.author: lajanuar
 ---