acrolinx

Author: eric-urban

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/cli.md

@@ -8,7 +8,7 @@ ms.author: eur
 
 [!INCLUDE [Header](header.md)]
 
-We haven't yet included a call center quickstart for the Speech CLI. Please select another programming language or one of the studio links above to get started. 
+We haven't yet included a call center quickstart for the Speech CLI. Please select another programming language or one of the studios links above to get started. 
 
 > [!TIP]
 > To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/cpp.md

@@ -19,10 +19,10 @@ ms.author: eur
 This quickstart requires *nlohmann::json*, *libcurl*, and a PEM certificate.
 
 1. Download the latest version of the [nlohmann::json](https://github.com/nlohmann/json/releases) library.
-1. Install libcurl. On Windows you install it from [https://curl.se/download.html]. 
+1. Install libcurl. On Windows, you install it from [https://curl.se/download.html]. 
 1. Get a `cacert.pem` file from [https://curl.se/ca/cacert.pem](https://curl.se/ca/cacert.pem).
 1. Copy YourPathTo\curl\bin\libcurl-x64.def and YourPathTo\curl\bin\libcurl-x64.dll to your project folder.
-1. Run the `lib /def:libcurl-x64.def` command to generate the .lib file.
+1. Run the `lib /def:libcurl-x64.def` command to generate the `.lib` file.
 
 ## Run post-call transcription analysis
 
@@ -34,7 +34,7 @@ Follow these steps to run post-call transcription analysis:
 1. Open **Build** > **Configuration Manager**.
     - On a 64-bit Windows installation, set **Active solution platform** to `x64`.
     - On a 32-bit Windows installation, set **Active solution platform** to `x86`.
-1. Open **Project** > **Properties** > **Debugging**. Enter your preferred command line arguments at **Command Arguments**. See [usage and arguments](#usage-and-arguments) for the available options. Here is an example:
+1. Open **Project** > **Properties** > **Debugging**. Enter your preferred command line arguments at **Command Arguments**. See [usage and arguments](#usage-and-arguments) for the available options. Here's an example:
     ```
     --certificate "YourPathTo\\cacert.pem" --input "https://github.com/Azure-Samples/cognitive-services-speech-sdk/raw/main/scenarios/call-center/sampledata/Call1_separated_16k_health_insurance.wav" --speechKey YourResourceKey --speechRegion YourResourceRegion --languageKey YourResourceKey --languageEndpoint YourResourceEndpoint --stereo --output call.output.txt > call.json.txt
     ```

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/go.md

@@ -8,7 +8,7 @@ ms.author: eur
 
 [!INCLUDE [Header](header.md)]
 
-We haven't yet included a call center quickstart in Go. Please select another programming language or one of the studio links above to get started. 
+We haven't yet included a call center quickstart in Go. Please select another programming language or one of the studios links above to get started. 
 
 > [!TIP]
 > To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/intro.md

@@ -6,12 +6,12 @@ ms.date: 09/18/2022
 ms.author: eur
 ---
 
-In this C# quickstart, you perform sentiment analysis and conversation summarization of [call center](/azure/cognitive-services/speech-service/call-center-overview) transcriptions. The sample will automatically identify, categorize, and redact sensitive information. This is a cross-service scenario that uses features of the [Azure Cognitive Speech](/azure/cognitive-services/speech-service/) and [Azure Cognitive Language](/azure/cognitive-services/language-service/) services.
+In this C# quickstart, you perform sentiment analysis and conversation summarization of [call center](/azure/cognitive-services/speech-service/call-center-overview) transcriptions. The sample will automatically identify, categorize, and redact sensitive information. The quickstart implements a cross-service scenario that uses features of the [Azure Cognitive Speech](/azure/cognitive-services/speech-service/) and [Azure Cognitive Language](/azure/cognitive-services/language-service/) services.
 
 > [!TIP]
 > To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).
 
-The following Azure Cognitive Service for Speech features are used:
+The following Azure Cognitive Services for Speech features are used:
 - [Batch transcription](/azure/cognitive-services/speech-service/batch-transcription): Submit a batch of audio files for transcription.
 - [Speaker separation](/azure/cognitive-services/speech-service/batch-transcription): Separate multiple speakers through diarization of mono 16khz 16 bit PCM wav files. 
 

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/javascript.md

@@ -8,7 +8,7 @@ ms.author: eur
 
 [!INCLUDE [Header](header.md)]
 
-We haven't yet included a call center quickstart in JavaScript. Please select another programming language or one of the studio links above to get started. 
+We haven't yet included a call center quickstart in JavaScript. Please select another programming language or one of the studios links above to get started. 
 
 > [!TIP]
 > To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/objectivec.md

@@ -8,7 +8,7 @@ ms.author: eur
 
 [!INCLUDE [Header](header.md)]
 
-We haven't yet included a call center quickstart in Objective-C. Please select another programming language or one of the studio links above to get started. 
+We haven't yet included a call center quickstart in Objective-C. Please select another programming language or one of the studios links above to get started. 
 
 > [!TIP]
 > To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/python.md

@@ -24,7 +24,7 @@ Follow these steps to create a new console application.
 
 1. Download or copy the <a href="https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/scenarios/python/console/call-center/"  title="Copy the samples"  target="_blank">scenarios/python/console/call-center/</a> sample files from GitHub into a local directory. 
 1. Open a command prompt in the same directory as `call-center.py`.
-1. Run the application with your preferred command line arguments. See [usage and arguments](#usage-and-arguments) for the available options. Here is an example:
+1. Run the application with your preferred command line arguments. See [usage and arguments](#usage-and-arguments) for the available options. Here's an example:
     ```console
     python call-center.py --input "https://github.com/Azure-Samples/cognitive-services-speech-sdk/raw/main/scenarios/call-center/sampledata/Call1_separated_16k_health_insurance.wav" --speechKey YourResourceKey --speechRegion YourResourceRegion --languageKey YourResourceKey --languageEndpoint YourResourceEndpoint --stereo --output call.output.txt > call.json.txt
     ```

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/swift.md

@@ -8,7 +8,7 @@ ms.author: eur
 
 [!INCLUDE [Header](header.md)]
 
-We haven't yet included a call center quickstart in Swift. Please select another programming language or one of the studio links above to get started. 
+We haven't yet included a call center quickstart in Swift. Please select another programming language or one of the studios links above to get started. 
 
 > [!TIP]
 > To deploy a call center transcription solution to Azure with a no-code approach, try the [Ingestion Client](/azure/cognitive-services/speech-service/ingestion-client).

articles/cognitive-services/Speech-Service/includes/quickstarts/call-center/usage-arguments.md

@@ -20,8 +20,8 @@ Connection options include:
 Input options include:
 
 - `--input URL`: Input audio from URL. You must set either the `--input` or `--jsonInput` option. 
-- `--jsonInput FILE`: Input an existing batch transcription JSON result from FILE. Use this option to process a transcription result that was previously generated by the Speech service. With this option you don't need an audio file. Overrides `--input`, `--speechKey`, and `--speechRegion`. You must set either the `--input` or `--jsonInput` option.
-- `--stereo`: Use stereo audio format. If stereo isn't specified, then mono 16khz 16 bit PCM wav files are assumed. Diarization of mono files is used to separate multiple speakers. Diarization of stereo files is not supported, since 2-channel stereo files should already have one speaker per channel.
+- `--jsonInput FILE`: Input an existing batch transcription JSON result from FILE. Use this option to process a transcription result that was previously generated by the Speech service. With this option, you don't need an audio file. Overrides `--input`, `--speechKey`, and `--speechRegion`. You must set either the `--input` or `--jsonInput` option.
+- `--stereo`: Use stereo audio format. If stereo isn't specified, then mono 16khz 16 bit PCM wav files are assumed. Diarization of mono files is used to separate multiple speakers. Diarization of stereo files isn't supported, since 2-channel stereo files should already have one speaker per channel.
 - `--certificate`: The PEM certificate file. Required for C++. 
 
 Language options include: