Merge pull request #187216 from Ja-Dunn/speech-service-project-jd-batch2

edit pass: speech-service-project-jd-batch2

Author: ShawnJackson

articles/cognitive-services/Speech-Service/conversation-transcription.md

@@ -1,7 +1,7 @@
 ---
-title: Conversation Transcription (Preview) - Speech service
+title: Conversation transcription (preview) - Speech service
 titleSuffix: Azure Cognitive Services
-description: Conversation Transcription is a solution for meetings, that combines recognition, speaker ID, and diarization to provide transcription of any conversation.
+description: You use the conversation transcription feature for meetings. It combines recognition, speaker ID, and diarization to provide transcription of any conversation.
 services: cognitive-services
 author: eric-urban
 manager: nitinme
@@ -13,70 +13,73 @@ ms.author: eur
 ms.custom: ignite-fall-2021
 ---
 
-# What is Conversation Transcription (Preview)?
+# What is conversation transcription (preview)?
 
-Conversation Transcription is a [speech-to-text](speech-to-text.md) solution that provides real-time or asynchronous transcription of any conversation. Conversation Transcription combines speech recognition, speaker identification, and sentence attribution to determine who said what and when in a conversation. 
+Conversation transcription is a [speech-to-text](speech-to-text.md) solution that provides real-time or asynchronous transcription of any conversation. This feature, which is currently in preview, combines speech recognition, speaker identification, and sentence attribution to determine who said what, and when, in a conversation. 
 
 ## Key features
 
-- **Timestamps** - Each speaker utterance has a timestamp, so that you can easily find when a phrase was said.
-- **Readable transcripts** - Transcripts have formatting and punctuation added automatically to ensure the text closely matches what was being said.
-- **User profiles** - User profiles are generated by collecting user voice samples and sending them to signature generation.
-- **Speaker identification** - Speakers are identified using user profiles and a _speaker identifier_ is assigned to each.
-- **Multi-speaker diarization** - Determine who said what by synthesizing the audio stream with each speaker identifier.
-- **Real-time transcription** – Provide live transcripts of who is saying what and when while the conversation is happening.
-- **Asynchronous transcription** – Provide transcripts with higher accuracy by using a multichannel audio stream.
+You might find the following features of conversation transcription useful:
+
+- **Timestamps:** Each speaker utterance has a timestamp, so that you can easily find when a phrase was said.
+- **Readable transcripts:** Transcripts have formatting and punctuation added automatically to ensure the text closely matches what was being said.
+- **User profiles:** User profiles are generated by collecting user voice samples and sending them to signature generation.
+- **Speaker identification:** Speakers are identified by using user profiles, and a _speaker identifier_ is assigned to each.
+- **Multi-speaker diarization:** Determine who said what by synthesizing the audio stream with each speaker identifier.
+- **Real-time transcription:** Provide live transcripts of who is saying what, and when, while the conversation is happening.
+- **Asynchronous transcription:** Provide transcripts with higher accuracy by using a multichannel audio stream.
 
 > [!NOTE]
-> Although Conversation Transcription does not put a limit on the number of speakers in the room, it is optimized for 2-10 speakers per session.
+> Although conversation transcription doesn't put a limit on the number of speakers in the room, it's optimized for 2-10 speakers per session.
 
 ## Get started
 
 See the real-time conversation transcription [quickstart](how-to-use-conversation-transcription.md) to get started.
 
 ## Use cases
 
-To make meetings inclusive for everyone, such as participants who are deaf and hard of hearing, it is important to have transcription in real time. Conversation Transcription in real-time mode takes meeting audio and determines who is saying what, allowing all meeting participants to follow the transcript and participate in the meeting without a delay.
-
-### Improved efficiency
+To make meetings inclusive for everyone, such as participants who are deaf and hard of hearing, it's important to have transcription in real time. Conversation transcription in real-time mode takes meeting audio and determines who is saying what, allowing all meeting participants to follow the transcript and participate in the meeting, without a delay.
 
-Meeting participants can focus on the meeting and leave note-taking to Conversation Transcription. Participants can actively engage in the meeting and quickly follow up on next steps, using the transcript instead of taking notes and potentially missing something during the meeting.
+Meeting participants can focus on the meeting and leave note-taking to conversation transcription. Participants can actively engage in the meeting and quickly follow up on next steps, using the transcript instead of taking notes and potentially missing something during the meeting.
 
 ## How it works
 
-This is a high-level overview of how Conversation Transcription works.
+The following diagram shows a high-level overview of how the feature works.
 
-![The Import Conversation Transcription Diagram](media/scenarios/conversation-transcription-service.png)
+![Diagram that shows the relationships among different pieces of the conversation transcription solution.](media/scenarios/conversation-transcription-service.png)
 
 ## Expected 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. You will need to collect audio recordings from each user, then send the recordings to the [Signature Generation Service](https://aka.ms/cts/signaturegenservice) to validate the audio and generate user profiles.
+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 do not have voice samples will be recognized as "Unidentified". Unidentified speakers can still be differentiated when the `DifferentiateGuestSpeakers` property is enabled (see example below). The transcription output will then show speakers as "Guest_0", "Guest_1", etc. instead of recognizing as pre-enrolled specific speaker names.
 ```csharp
 config.SetProperty("DifferentiateGuestSpeakers", "true");
 ```
 
 ## Real-time vs. asynchronous
 
-Conversation Transcription offers three transcription modes:
+The following sections provide more detail about transcription modes you can choose.
 
 ### Real-time
 
-Audio data is processed live to return speaker identifier + transcript. Select this mode if your transcription solution requirement is to provide conversation participants a live transcript view of their ongoing conversation. For example, building an application to make meetings more accessible the deaf and hard of hearing participants is an ideal use case for real-time transcription.
+Audio data is processed live to return the speaker identifier and transcript. Select this mode if your transcription solution requirement is to provide conversation participants a live transcript view of their ongoing conversation. For example, building an application to make meetings more accessible to participants with hearing loss or deafness is an ideal use case for real-time transcription.
 
 ### Asynchronous
 
-Audio data is batch processed to return speaker identifier and transcript. Select this mode if your transcription solution requirement is to provide higher accuracy without live transcript view. For example, if you want to build an application to allow meeting participants to easily catch up on missed meetings, then use the asynchronous transcription mode to get high-accuracy transcription results.
+Audio data is batch processed to return the speaker identifier and transcript. Select this mode if your transcription solution requirement is to provide higher accuracy, without the live transcript view. For example, if you want to build an application to allow meeting participants to easily catch up on missed meetings, then use the asynchronous transcription mode to get high-accuracy transcription results.
 
 ### Real-time plus asynchronous
 
-Audio data is processed live to return speaker identifier + transcript, and, in addition, a request is created to also get a high-accuracy transcript through asynchronous processing. Select this mode if your application has a need for real-time transcription but also requires a higher accuracy transcript for use after the conversation or meeting occurred.
+Audio data is processed live to return the speaker identifier and transcript, and, in addition, requests a high-accuracy transcript through asynchronous processing. Select this mode if your application has a need for real-time transcription, and also requires a higher accuracy transcript for use after the conversation or meeting occurred.
 
 ## Language support
 
-Currently, Conversation Transcription supports [all speech-to-text languages](language-support.md#speech-to-text) in the following regions: `centralus`, `eastasia`, `eastus`, `westeurope`. If you require additional locale support, contact the [Conversation Transcription Feature Crew](mailto:[email protected]).
+Currently, conversation transcription supports [all speech-to-text languages](language-support.md#speech-to-text) in the following regions: `centralus`, `eastasia`, `eastus`, `westeurope`.
 
 ## Next steps