9/22/2023 0 Comments Ai conversations transcript![]() ![]() The file output is a combination of the JSON responses from the batch transcription (Speech), sentiment (Language), and conversation summarization (Language) APIs. If you specify the -output FILE optional argument, a JSON version of the results are written to the file. Resolution: Customer was advised that customer would be contacted by the insurance company. Issue: Customer wants to sign up for insurance. Here's an example of the overall summary, with redactions for brevity: Conversation summary: The console output shows the full conversation and summary. See the Azure AI services security article for more information. For production, use a secure way of storing and accessing your credentials like Azure Key Vault. Remember to remove the key from your code when you're done, and never post it publicly. Make sure that the paths specified by -input and -output are valid. ![]() Replace YourResourceKey with your Azure AI services resource key, replace YourResourceRegion with your Azure AI services resource region (such as eastus), and replace YourResourceEndpoint with your Azure AI services endpoint. If you already have a transcription for input, here's an example that only requires a Language resource: dotnet run -languageKey YourResourceKey -languageEndpoint YourResourceEndpoint -jsonInput "YourTranscriptionFile.json" -stereo -output summary.json Here's an example that transcribes from an example audio file at GitHub: dotnet run -languageKey YourResourceKey -languageEndpoint YourResourceEndpoint -speechKey YourResourceKey -speechRegion YourResourceRegion -input "" -stereo -output summary.json See usage and arguments for the available options. Run the application with your preferred command line arguments. cd /scenarios/csharp/dotnetcore/call-center/call-center/īuild the project with the. ![]() Open a command prompt and change to the project directory. If you have Git installed, open a command prompt and run the git clone command to download the Speech SDK samples repository. Run post-call transcription analysis with C#įollow these steps to build and run the post-call transcription analysis quickstart code example.Ĭopy the scenarios/csharp/dotnetcore/call-center/ sample files from GitHub. The -languageKey and -languageEndpoint values in this quickstart must correspond to a resource that's in one of the regions supported by the conversation summarization API: eastus, northeurope, and uksouth. To get access, you must submit an online request and have it approved. This quickstart requires access to conversation summarization.
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