azure-ai-voicelive-dotnet

To build a real-time voice assistant in .NET, use the Azure Voice Live SDK to establish bidirectional audio streams over WebSocket. Initialize a VoiceLiveClient with credentials, then start a VoiceLiveSession to enable low-latency communication for conversational bots and speech-to-speech applications.

Starting a real-time voice session requires a .NET project, Azure credentials, and the Azure.AI.VoiceLive package installed. You initialize a VoiceLiveClient using either DefaultAzureCredential or API key-based authentication to secure access and then start a VoiceLiveSession.

Yes, you can use API keys for authentication in a .NET real-time audio application. The Azure Voice Live SDK supports both API key-based authentication and DefaultAzureCredential to secure access for voice-enabled experiences over WebSocket.

Yes, the Azure Voice Live SDK supports configuring flexible model and voice options for conversational bots. This allows you to customize models and voices for natural conversations integrated with Azure Cognitive Services over a real-time WebSocket connection.

Using WebSocket for real-time speech-to-speech applications in .NET requires maintaining a persistent bidirectional audio stream. The Azure Voice Live SDK depends on stable network connectivity to ensure low-latency communication between clients and cloud services without interruption.