cts is retiring

Author: eric-urban

articles/ai-services/speech-service/how-to-async-meeting-transcription.md

@@ -11,15 +11,15 @@ ms.custom: cogserv-non-critical-speech, devx-track-csharp, devx-track-extended-j
 zone_pivot_groups: programming-languages-set-twenty-one
 ---
 
-# Asynchronous conversation transcription
+# Asynchronous conversation transcription multichannel diarization
 
 > [!NOTE]
 > This feature is currently in public preview. This preview is provided without a service-level agreement, and is not recommended for production workloads. Certain features might not be supported or might have constrained capabilities. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
 
-In this article, asynchronous conversation transcription is demonstrated using the **RemoteMeetingTranscriptionClient** API. If you have configured conversation transcription to do asynchronous transcription and have a `meetingId`, you can obtain the transcription associated with that `meetingId` using the **RemoteMeetingTranscriptionClient** API.
+In this article, asynchronous conversation transcription multichannel diarization is demonstrated using the **RemoteMeetingTranscriptionClient** API. If you configured conversation transcription to do asynchronous transcription and have a `meetingId`, you can obtain the transcription associated with that `meetingId` using the **RemoteMeetingTranscriptionClient** API.
 
 > [!IMPORTANT]
-> Conversation transcription multichannel diarization (preview) is retiring on March 28, 2025. For more information about migrating to other speech to text features, see [Migrate away from conversation transcription multichannel diarization](#migrate-away-from-conversation-transcription-multichannel-diarization).
+> Conversation transcription multichannel diarization (preview) is retiring on March 28, 2025. For more information about migrating to other speech to text features, see [Migrate away from conversation transcription multichannel diarization](meeting-transcription.md#migrate-away-from-conversation-transcription-multichannel-diarization).
 
 ## Asynchronous vs. real-time + asynchronous
 

articles/ai-services/speech-service/how-to-use-meeting-transcription.md

@@ -1,5 +1,5 @@
 ---
-title: Real-time conversation transcription quickstart - Speech service
+title: Real-time conversation transcription multichannel diarization quickstart - Speech service
 titleSuffix: Azure AI services
 description: In this quickstart, learn how to transcribe meetings. You can add, remove, and identify multiple participants by streaming audio to the Speech service.
 author: eric-urban
@@ -12,23 +12,23 @@ zone_pivot_groups: acs-js-csharp-python
 ms.custom: cogserv-non-critical-speech, references_regions, devx-track-extended-java, devx-track-js, devx-track-python
 ---
 
-# Quickstart: Real-time conversation transcription (preview)
+# Quickstart: Real-time conversation transcription multichannel diarization (preview)
 
 > [!NOTE]
 > This feature is currently in public preview. This preview is provided without a service-level agreement, and is not recommended for production workloads. Certain features might not be supported or might have constrained capabilities. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
 
-You can transcribe meetings with the ability to add, remove, and identify multiple participants by streaming audio to the Speech service. You first create voice signatures for each participant using the REST API, and then use the voice signatures with the Speech SDK to transcribe meetings. See the conversation transcription [overview](meeting-transcription.md) for more information.
+With conversation transcription multichannel diarization, you can transcribe meetings with the ability to add, remove, and identify multiple participants by streaming audio to the Speech service. You first create voice signatures for each participant using the REST API, and then use the voice signatures with the Speech SDK to transcribe meetings. See the conversation transcription [overview](meeting-transcription.md) for more information.
 
 > [!IMPORTANT]
-> Conversation transcription multichannel diarization (preview) is retiring on March 28, 2025. For more information about migrating to other speech to text features, see [Migrate away from conversation transcription multichannel diarization](#migrate-away-from-conversation-transcription-multichannel-diarization).
+> Conversation transcription multichannel diarization (preview) is retiring on March 28, 2025. For more information about migrating to other speech to text features, see [Migrate away from conversation transcription multichannel diarization](meeting-transcription.md#migrate-away-from-conversation-transcription-multichannel-diarization).
 
 ## Limitations
 
 * Only available in the following subscription regions: `centralus`, `eastasia`, `eastus`, `westeurope`
 * Requires a 7-mic circular multi-microphone array. The microphone array should meet [our specification](./speech-sdk-microphone.md).
 
-> [!IMPORTANT]
-> For the conversation transcription multichannel diarization feature, use `MeetingTranscriber` instead of `ConversationTranscriber`, and use `CreateMeetingAsync` instead of `CreateConversationAsync`. A new "conversation transcription" feature is released without the use of user profiles and voice signatures. For more information, see the [release notes](releasenotes.md?tabs=speech-sdk).
+> [!NOTE]
+> For the conversation transcription multichannel diarization feature, use `MeetingTranscriber` instead of `ConversationTranscriber`, and use `CreateMeetingAsync` instead of `CreateConversationAsync`. 
 
 ::: zone pivot="programming-language-javascript"
 [!INCLUDE [JavaScript Basics include](includes/how-to/meeting-transcription/real-time-javascript.md)]

articles/ai-services/speech-service/includes/common/azure-prerequisites.md

@@ -1,7 +1,7 @@
 ---
 author: eric-urban
 ms.service: azure-ai-speech
-ms.date: 08/07/2024
+ms.date: 9/9/2024
 ms.topic: include
 ms.author: eur
 ---

articles/ai-services/speech-service/includes/how-to/meeting-transcription/real-time-csharp.md

@@ -11,11 +11,12 @@ ms.author: eur
 [!INCLUDE [Prerequisites](../../common/azure-prerequisites.md)]
 
 ## Set up the environment
+
 The Speech SDK is available as a [NuGet package](https://www.nuget.org/packages/Microsoft.CognitiveServices.Speech) and implements .NET Standard 2.0. You install the Speech SDK later in this guide, but first check the [platform-specific installation instructions](../../../quickstarts/setup-platform.md?pivots=programming-language-csharp) for any more requirements.
 
 ## Create voice signatures
 
-If you want to enroll user profiles, the first step is to create voice signatures for the meeting participants so that they can be identified as unique speakers. This isn't required if you don't want to use pre-enrolled user profiles to identify specific participants.
+If you want to enroll user profiles, the first step is to create voice signatures for the meeting participants so that they can be identified as unique speakers. This isn't required if you don't want to use preenrolled user profiles to identify specific participants.
 
 The input `.wav` audio file for creating voice signatures must be 16-bit, 16-kHz sample rate, in single channel (mono) format. The recommended length for each audio sample is between 30 seconds and two minutes. An audio sample that is too short results in reduced accuracy when recognizing the speaker. The `.wav` file should be a sample of one person's voice so that a unique voice profile is created.
 
@@ -89,7 +90,7 @@ Running the function `GetVoiceSignatureString()` returns a voice signature strin
 
 ## Transcribe meetings
 
-The following sample code demonstrates how to transcribe meetings in real-time for two speakers. It assumes you've already created voice signature strings for each speaker as shown above. Substitute real information for `subscriptionKey`, `region`, and the path `filepath` for the audio you want to transcribe.
+The following sample code demonstrates how to transcribe meetings in real-time for two speakers. It assumes that you created voice signature strings for each speaker as shown above. Substitute real information for `subscriptionKey`, `region`, and the path `filepath` for the audio you want to transcribe.
 
 If you don't use pre-enrolled user profiles, it takes a few more seconds to complete the first recognition of unknown users as speaker1, speaker2, etc.
 

articles/ai-services/speech-service/includes/how-to/meeting-transcription/real-time-javascript.md

@@ -58,7 +58,7 @@ Running this script returns a voice signature string in the variable `voiceSigna
 
 ## Transcribe meetings
 
-The following sample code demonstrates how to transcribe meetings in real-time for two speakers. It assumes you've already created voice signature strings for each speaker as shown above. Substitute real information for `subscriptionKey`, `region`, and the path `filepath` for the audio you want to transcribe.
+The following sample code demonstrates how to transcribe meetings in real-time for two speakers. It assumes that you created voice signature strings for each speaker as shown above. Substitute real information for `subscriptionKey`, `region`, and the path `filepath` for the audio you want to transcribe.
 
 If you don't use pre-enrolled user profiles, it takes a few more seconds to complete the first recognition of unknown users as speaker1, speaker2, etc.
 
@@ -72,7 +72,7 @@ This sample code does the following:
 * Creates a `MeetingTranscriber` using the constructor.
 * Adds participants to the meeting. The strings `voiceSignatureStringUser1` and `voiceSignatureStringUser2` should come as output from the steps above.
 * Registers to events and begins transcription.
-* If you want to differentiate speakers without providing voice samples, please enable `DifferentiateGuestSpeakers` feature as in [Meeting Transcription Overview](../../../meeting-transcription.md). 
+* If you want to differentiate speakers without providing voice samples, enable `DifferentiateGuestSpeakers` feature as in [Meeting Transcription Overview](../../../meeting-transcription.md). 
 
 If speaker identification or differentiate is enabled, then even if you have already received `transcribed` results, the service is still evaluating them by accumulated audio information. If the service finds that any previous result was assigned an incorrect `speakerId`, then a nearly identical `Transcribed` result is sent again, where only the `speakerId` and `UtteranceId` are different. Since the `UtteranceId` format is `{index}_{speakerId}_{Offset}`, when you receive a `transcribed` result, you could use `UtteranceId` to determine if the current `transcribed` result is going to correct a previous one. Your client or UI logic could decide behaviors, like overwriting previous output, or to ignore the latest result.
 

articles/ai-services/speech-service/includes/how-to/meeting-transcription/real-time-python.md

@@ -58,7 +58,7 @@ You can use these two voice_signature_string as input to the variables `voice_si
 
 ## Transcribe meetings
 
-The following sample code demonstrates how to transcribe meetings in real-time for two speakers. It assumes you've already created voice signature strings for each speaker as shown previously. Substitute real information for `subscriptionKey`, `region`, and the path `filepath` for the audio you want to transcribe.
+The following sample code demonstrates how to transcribe meetings in real-time for two speakers. It assumes that you created voice signature strings for each speaker as shown previously. Substitute real information for `subscriptionKey`, `region`, and the path `filepath` for the audio you want to transcribe.
 
 If you don't use pre-enrolled user profiles, it takes a few more seconds to complete the first recognition of unknown users as speaker1, speaker2, etc.
 
@@ -75,7 +75,7 @@ Here's what the sample does:
 * Read the whole wave files at once and stream it to SDK and begins transcription.
 * If you want to differentiate speakers without providing voice samples, you enable the `DifferentiateGuestSpeakers` feature as in [Meeting Transcription Overview](../../../meeting-transcription.md). 
 
-If speaker identification or differentiate is enabled, then even if you have already received `transcribed` results, the service is still evaluating them by accumulated audio information. If the service finds that any previous result was assigned an incorrect `speakerId`, then a nearly identical `Transcribed` result is sent again, where only the `speakerId` and `UtteranceId` are different. Since the `UtteranceId` format is `{index}_{speakerId}_{Offset}`, when you receive a `transcribed` result, you could use `UtteranceId` to determine if the current `transcribed` result is going to correct a previous one. Your client or UI logic could decide behaviors, like overwriting previous output, or to ignore the latest result.
+If speaker identification or differentiate is enabled, then even if you received `transcribed` results, the service is still evaluating them by accumulated audio information. If the service finds that any previous result was assigned an incorrect `speakerId`, then a nearly identical `Transcribed` result is sent again, where only the `speakerId` and `UtteranceId` are different. Since the `UtteranceId` format is `{index}_{speakerId}_{Offset}`, when you receive a `transcribed` result, you could use `UtteranceId` to determine if the current `transcribed` result is going to correct a previous one. Your client or UI logic could decide behaviors, like overwriting previous output, or to ignore the latest result.
 
 ```python
 import azure.cognitiveservices.speech as speechsdk

articles/ai-services/speech-service/includes/how-to/remote-meeting/csharp/examples.md

@@ -2,16 +2,16 @@
 author: eric-urban
 ms.service: azure-ai-speech
 ms.topic: include
-ms.date: 07/26/2022
+ms.date: 9/9/2024
 ms.author: eur
 ms.custom: devx-track-csharp
 ---
 
 ## Upload the audio
 
-The first step for asynchronous transcription is to send the audio to the Meeting Transcription Service using the Speech SDK.
+The first step for asynchronous transcription is to send the audio to the conversation transcription service using the Speech SDK.
 
-This example code shows how to create a `MeetingTranscriber` for asynchronous-only mode. In order to stream audio to the transcriber, you add audio streaming code derived from [Transcribe meetings in real-time with the Speech SDK](../../../../how-to-use-meeting-transcription.md). 
+This example code shows how to use conversation transcription in asynchronous-only mode. In order to stream audio to the transcriber, you need to add audio streaming code derived from the [real-time conversation transcription quickstart](../../../../how-to-use-meeting-transcription.md). 
 
 ```csharp
 async Task CompleteContinuousRecognition(MeetingTranscriber recognizer, string meetingId)

articles/ai-services/speech-service/includes/how-to/remote-meeting/java/examples.md

@@ -2,15 +2,15 @@
 author: eric-urban
 ms.service: azure-ai-speech
 ms.topic: include
-ms.date: 04/25/2022
+ms.date: 9/9/2024
 ms.author: eur
 ---
 
 ## Upload the audio
 
-Before asynchronous transcription can be performed, you need to send the audio to Meeting Transcription Service using the Speech SDK.
+Before asynchronous conversation transcription can be performed, you need to send the audio to the conversation transcription service using the Speech SDK.
 
-This example code shows how to create meeting transcriber for asynchronous-only mode. In order to stream audio to the transcriber, you will need to add audio streaming code derived from [Transcribe meetings in real-time with the Speech SDK](../../../../how-to-use-meeting-transcription.md). Refer to the **Limitations** section of that topic to see the supported platforms and languages APIs.
+This example code shows how to use conversation transcription in asynchronous-only mode. In order to stream audio to the transcriber, you need to add audio streaming code derived from the [real-time conversation transcription quickstart](../../../../how-to-use-meeting-transcription.md). Refer to the **Limitations** section of that topic to see the supported platforms and languages APIs.
 
 ```java
 // Create the speech config object
@@ -124,7 +124,7 @@ You can obtain **remote-meeting** by editing your pom.xml file as follows.
 
 ### Sample transcription code
 
-After you have the `meetingId`, create a remote meeting transcription client **RemoteMeetingTranscriptionClient** at the client application to query the status of the asynchronous transcription. Use **GetTranscriptionOperation** method in **RemoteMeetingTranscriptionClient** to get a [PollerFlux](https://github.com/Azure/azure-sdk-for-java/blob/master/sdk/core/azure-core/src/main/java/com/azure/core/util/polling/PollerFlux.java) object. The PollerFlux object will have information about the remote operation status **RemoteMeetingTranscriptionOperation** and the final result **RemoteMeetingTranscriptionResult**. Once the operation has finished, get **RemoteMeetingTranscriptionResult** by calling **getFinalResult** on a [SyncPoller](https://github.com/Azure/azure-sdk-for-java/blob/master/sdk/core/azure-core/src/main/java/com/azure/core/util/polling/SyncPoller.java). In this code we simply print the result contents to system output.
+After you have the `meetingId`, create a remote meeting transcription client **RemoteMeetingTranscriptionClient** at the client application to query the status of the asynchronous transcription. Use **GetTranscriptionOperation** method in **RemoteMeetingTranscriptionClient** to get a [PollerFlux](https://github.com/Azure/azure-sdk-for-java/blob/master/sdk/core/azure-core/src/main/java/com/azure/core/util/polling/PollerFlux.java) object. The PollerFlux object has information about the remote operation status **RemoteMeetingTranscriptionOperation** and the final result **RemoteMeetingTranscriptionResult**. Once the operation is finished, get **RemoteMeetingTranscriptionResult** by calling **getFinalResult** on a [SyncPoller](https://github.com/Azure/azure-sdk-for-java/blob/master/sdk/core/azure-core/src/main/java/com/azure/core/util/polling/SyncPoller.java). In this code, we print the result contents to system output.
 
 ```java
 // Create the speech config object

articles/ai-services/speech-service/meeting-transcription.md

@@ -66,7 +66,7 @@ Conversation transcription uses two types of inputs:
 - **Multi-channel audio stream:** For specification and design details, see [Microphone array recommendations](./speech-sdk-microphone.md). 
 - **User voice samples:** Conversation transcription needs user profiles in advance of the conversation for speaker identification. Collect audio recordings from each user, and then send the recordings to the [signature generation service](https://aka.ms/cts/signaturegenservice) to validate the audio and generate user profiles.
 
-User voice samples for voice signatures are required for speaker identification. Speakers who don't have voice samples are recognized as *unidentified*. Unidentified speakers can still be differentiated when the `DifferentiateGuestSpeakers` property is enabled (see the following example). The transcription output then shows speakers as, for example, *Guest_0* and *Guest_1*, instead of recognizing them as pre-enrolled specific speaker names.
+User voice samples for voice signatures are required for speaker identification. Speakers who don't have voice samples are recognized as *unidentified*. Unidentified speakers can still be differentiated when the `DifferentiateGuestSpeakers` property is enabled (see the following example). The transcription output then shows speakers as, for example, *Guest_0* and *Guest_1*, instead of recognizing them as preenrolled specific speaker names.
 
 ```csharp
 config.SetProperty("DifferentiateGuestSpeakers", "true");