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Get Started Free →Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 55% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 51% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 60% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 35% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 161% | 0% |
Real-time voice AI SDK for building bidirectional voice assistants with Azure AI.
bashdotnet add package Azure.AI.VoiceLive dotnet add package Azure.Identity dotnet add package NAudio # For audio capture/playback
Current Versions: Stable v1.0.0, Preview v1.1.0-beta.1
bashAZURE_VOICELIVE_ENDPOINT=https://<resource>.services.ai.azure.com/ # Required: Voice Live endpoint AZURE_VOICELIVE_MODEL=gpt-4o-realtime-preview # Required: model deployment name AZURE_VOICELIVE_VOICE=en-US-AvaNeural # Optional: Voice Live voice name AZURE_VOICELIVE_API_KEY=<your-api-key> # Only required for AzureKeyCredential auth AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
csharpusing Azure.Identity; using Azure.AI.VoiceLive; Uri endpoint = new Uri("https://your-resource.cognitiveservices.azure.com"); // Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential> var credential = new DefaultAzureCredential( DefaultAzureCredential.DefaultEnvironmentVariableName ); // Or use a specific credential directly in production: // See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes // var credential = new ManagedIdentityCredential(); VoiceLiveClient client = new VoiceLiveClient(endpoint, credential);
Required Role: Cognitive Services User (assign in Azure Portal → Access control)
csharpUri endpoint = new Uri("https://your-resource.cognitiveservices.azure.com"); AzureKeyCredential credential = new AzureKeyCredential("your-api-key"); VoiceLiveClient client = new VoiceLiveClient(endpoint, credential);
VoiceLiveClient
└── VoiceLiveSession (WebSocket connection)
├── ConfigureSessionAsync()
├── GetUpdatesAsync() → SessionUpdate events
├── AddItemAsync() → UserMessageItem, FunctionCallOutputItem
├── SendAudioAsync()
└── StartResponseAsync()csharpusing Azure.Identity; using Azure.AI.VoiceLive; var endpoint = new Uri(Environment.GetEnvironmentVariable("AZURE_VOICELIVE_ENDPOINT")); var client = new VoiceLiveClient(endpoint, new DefaultAzureCredential()); var model = "gpt-4o-mini-realtime-preview"; // Start session using VoiceLiveSession session = await client.StartSessionAsync(model); // Configure session VoiceLiveSessionOptions sessionOptions = new() { Model = model, Instructions = "You are a helpful AI assistant. Respond naturally.", Voice = new AzureStandardVoice("en-US-AvaNeural"), TurnDetection = new AzureSemanticVadTurnDetection() { Threshold = 0.5f, PrefixPadding = TimeSpan.FromMilliseconds(300), SilenceDuration = TimeSpan.FromMilliseconds(500) }, InputAudioFormat = InputAudioFormat.Pcm16, OutputAudioFormat = OutputAudioFormat.Pcm16 }; // Set modalities (both text and audio for voice assistants) sessionOptions.Modalities.Clear(); sessionOptions.Modalities.Add(InteractionModality.Text); sessionOptions.Modalities.Add(InteractionModality.Audio); await session.ConfigureSessionAsync(sessionOptions);
csharpawait foreach (SessionUpdate serverEvent in session.GetUpdatesAsync()) { switch (serverEvent) { case SessionUpdateResponseAudioDelta audioDelta: byte[] audioData = audioDelta.Delta.ToArray(); // Play audio via NAudio or other audio library break; case SessionUpdateResponseTextDelta textDelta: Console.Write(textDelta.Delta); break; case SessionUpdateResponseFunctionCallArgumentsDone functionCall: // Handle function call (see Function Calling section) break; case SessionUpdateError error: Console.WriteLine($"Error: {error.Error.Message}"); break; case SessionUpdateResponseDone: Console.WriteLine("\n--- Response complete ---"); break; } }
csharpawait session.AddItemAsync(new UserMessageItem("Hello, can you help me?")); await session.StartResponseAsync();
csharp// Define function var weatherFunction = new VoiceLiveFunctionDefinition("get_current_weather") { Description = "Get the current weather for a given location", Parameters = BinaryData.FromString(""" { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state or country" } }, "required": ["location"] } """) }; // Add to session options sessionOptions.Tools.Add(weatherFunction); // Handle function call in event loop if (serverEvent is SessionUpdateResponseFunctionCallArgumentsDone functionCall) { if (functionCall.Name == "get_current_weather") { var parameters = JsonSerializer.Deserialize<Dictionary<string, string>>(functionCall.Arguments); string location = parameters?["location"] ?? ""; // Call external service string weatherInfo = $"The weather in {location} is sunny, 75°F."; // Send response await session.AddItemAsync(new FunctionCallOutputItem(functionCall.CallId, weatherInfo)); await session.StartResponseAsync(); } }
| Voice Type | Class | Example | |------------|-------|---------| | Azure Standard | AzureStandardVoice | "en-US-AvaNeural" | | Azure HD | AzureStandardVoice | "en-US-Ava:DragonHDLatestNeural" | | Azure Custom | AzureCustomVoice | Custom voice with endpoint ID |
| Model | Description | |-------|-------------| | gpt-4o-realtime-preview | GPT-4o with real-time audio | | gpt-4o-mini-realtime-preview | Lightweight, fast interactions | | phi4-mm-realtime | Cost-effective multimodal |
| Type | Purpose | |------|---------| | VoiceLiveClient | Main client for creating sessions | | VoiceLiveSession | Active WebSocket session | | VoiceLiveSessionOptions | Session configuration | | AzureStandardVoice | Standard Azure voice provider | | AzureSemanticVadTurnDetection | Voice activity detection | | VoiceLiveFunctionDefinition | Function tool definition | | UserMessageItem | User text message | | FunctionCallOutputItem | Function call response | | SessionUpdateResponseAudioDelta | Audio chunk event | | SessionUpdateResponseTextDelta | Text chunk event |
Text and Audio for voice assistantsAzureSemanticVadTurnDetection — Provides natural conversation flowusing statement — Ensures proper session disposalcsharpif (serverEvent is SessionUpdateError error) { if (error.Error.Message.Contains("Cancellation failed: no active response")) { // Benign error, can ignore } else { Console.WriteLine($"Error: {error.Error.Message}"); } }
InputAudioFormat.Pcm16 (16-bit PCM)OutputAudioFormat.Pcm16| SDK | Purpose | Install | |-----|---------|---------| | Azure.AI.VoiceLive | Real-time voice (this SDK) | dotnet add package Azure.AI.VoiceLive | | Microsoft.CognitiveServices.Speech | Speech-to-text, text-to-speech | dotnet add package Microsoft.CognitiveServices.Speech | | NAudio | Audio capture/playback | dotnet add package NAudio |
| Resource | URL | |----------|-----| | NuGet Package | https://www.nuget.org/packages/Azure.AI.VoiceLive | | API Reference | https://learn.microsoft.com/dotnet/api/azure.ai.voicelive | | GitHub Source | https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.VoiceLive | | Quickstart | https://learn.microsoft.com/azure/ai-services/speech-service/voice-live-quickstart |
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