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Author: eric-urban

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

@@ -32,14 +32,17 @@ Follow these steps to run post-call transcription analysis from an audio file.
     dotnet build
     ```
 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 that transcribes from an example audio file at [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/raw/master/scenarios/call-center/sampledata/Call1_separated_16k_health_insurance.wav):
     ```dotnetcli
     dotnet run --languageKey YourResourceKey --languageEndpoint YourResourceEndpoint --speechKey YourResourceKey --speechRegion YourResourceRegion --input "https://github.com/Azure-Samples/cognitive-services-speech-sdk/raw/master/scenarios/call-center/sampledata/Call1_separated_16k_health_insurance.wav" --stereo  --output summary.json
     ```
+    
     If you already have a transcription for input, here's an example that only requires a Language resource:
     ```dotnetcli
     dotnet run --languageKey YourResourceKey --languageEndpoint YourResourceEndpoint --jsonInput "YourTranscriptionFile.json" --stereo  --output summary.json
     ```
+    
     Replace `YourResourceKey` with your Cognitive Services resource key, replace `YourResourceRegion` with your Cognitive Services resource [region](~/articles/cognitive-services/speech-service/regions.md) (such as `eastus`), and replace `YourResourceEndpoint` with your Cognitive Services endpoint. Make sure that the paths specified by `--input` and `--output` are valid. Otherwise you must change the paths.
     > [!IMPORTANT]
     > Remember to remove the key from your code when you're done, and never post it publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../../cognitive-services-security.md) article for more information.

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

@@ -12,7 +12,7 @@ The console output shows the full conversation and summary. Here's an example of
 ```output
 Conversation summary:
     issue: Customer wants to sign up for insurance.
-    resolution: Customer was advised that customer would be contacted by the agent to confirm their application.
+    resolution: Customer was advised that customer would be contacted by the insurance company.
 ```
 
 If you specify the `--output FILE` optional [argument](/azure/cognitive-services/speech-service/call-center-quickstart#usage-and-arguments), a JSON version of the results are written to the file. The file output is a combination of the JSON responses from the [batch transcription](/azure/cognitive-services/speech-service/batch-transcription) (Speech), [sentiment](/azure/cognitive-services/language-service/sentiment-opinion-mining/overview) (Language), and [conversation summarization](/azure/cognitive-services/language-service/summarization/overview?tabs=conversation-summarization) (Language) APIs. 
@@ -55,7 +55,7 @@ The `conversationAnalyticsResults` property contains a JSON object with the resu
             },
             {
               "aspect": "resolution",
-              "text": "Customer was advised that customer would be contacted by the agent to confirm their application"
+              "text": "Customer was advised that customer would be contacted by the insurance company"
             }
           ],
           "warnings": []