{"slug":"azure-ai-voicelive-java","title":"azure-ai-voicelive-java","summary":"Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: \"VoiceLiveClient java\", \"voice assistant java\", \"real-time voice java\", \"audio streaming java\", \"voice activity detection java\".","platform":"GitHub Copilot","tags":[],"authorName":"Ciza","authorSlug":"ciza","score":0,"source":"github","price":null,"verified":false,"createdAt":"2026-08-12T21:05:20.234647Z","repo":{"url":"https://github.com/microsoft/skills","stars":3052,"forks":351,"license":"MIT","updatedAt":"2026-09-24T16:38:17Z"},"bodyHtml":"
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name: azure-ai-voicelive-java\ndescription: |\nAzure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket.\nTriggers: \"VoiceLiveClient java\", \"voice assistant java\", \"real-time voice java\", \"audio streaming java\", \"voice activity detection java\".\nlicense: MIT\nmetadata:\nauthor: Microsoft\nversion: \"1.0.0\"\npackage: com.azure:azure-ai-voicelive

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Azure AI VoiceLive SDK for Java

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Real-time, bidirectional voice conversations with AI assistants using WebSocket technology.

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Installation

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<dependency>\n    <groupId>com.azure</groupId>\n    <artifactId>azure-ai-voicelive</artifactId>\n    <version>1.0.0-beta.2</version>\n</dependency>\n
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Environment Variables

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AZURE_VOICELIVE_ENDPOINT=https://<resource>.openai.azure.com/ # Required for all auth methods\nAZURE_VOICELIVE_API_KEY=<your-api-key> # Only required for AzureKeyCredential auth\nAZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production\n
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Authentication

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API Key

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import com.azure.ai.voicelive.VoiceLiveAsyncClient;\nimport com.azure.ai.voicelive.VoiceLiveClientBuilder;\nimport com.azure.core.credential.AzureKeyCredential;\n\nVoiceLiveAsyncClient client = new VoiceLiveClientBuilder()\n    .endpoint(System.getenv(\"AZURE_VOICELIVE_ENDPOINT\"))\n    .credential(new AzureKeyCredential(System.getenv(\"AZURE_VOICELIVE_API_KEY\")))\n    .buildAsyncClient();\n
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DefaultAzureCredential (Recommended)

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import com.azure.core.credential.TokenCredential;\nimport com.azure.identity.AzureIdentityEnvVars;\nimport com.azure.identity.DefaultAzureCredentialBuilder;\nimport com.azure.identity.ManagedIdentityCredentialBuilder;\n\nTokenCredential credential = new DefaultAzureCredentialBuilder()\n    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)\n    .build();\n// Or use a specific credential directly in production:\n// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes\n// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();\n\nVoiceLiveAsyncClient client = new VoiceLiveClientBuilder()\n    .endpoint(System.getenv(\"AZURE_VOICELIVE_ENDPOINT\"))\n    .credential(credential)\n    .buildAsyncClient();\n
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Key Concepts

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
ConceptDescription
VoiceLiveAsyncClientMain entry point for voice sessions
VoiceLiveSessionAsyncClientActive WebSocket connection for streaming
VoiceLiveSessionOptionsConfiguration for session behavior
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Audio Requirements

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Core Workflow

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1. Start Session

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import reactor.core.publisher.Mono;\n\nclient.startSession(\"gpt-4o-realtime-preview\")\n    .flatMap(session -> {\n        System.out.println(\"Session started\");\n        \n        // Subscribe to events\n        session.receiveEvents()\n            .subscribe(\n                event -> System.out.println(\"Event: \" + event.getType()),\n                error -> System.err.println(\"Error: \" + error.getMessage())\n            );\n        \n        return Mono.just(session);\n    })\n    .block();\n
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2. Configure Session Options

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import com.azure.ai.voicelive.models.*;\nimport java.util.Arrays;\n\nServerVadTurnDetection turnDetection = new ServerVadTurnDetection()\n    .setThreshold(0.5)                    // Sensitivity (0.0-1.0)\n    .setPrefixPaddingMs(300)              // Audio before speech\n    .setSilenceDurationMs(500)            // Silence to end turn\n    .setInterruptResponse(true)           // Allow interruptions\n    .setAutoTruncate(true)\n    .setCreateResponse(true);\n\nAudioInputTranscriptionOptions transcription = new AudioInputTranscriptionOptions(\n    AudioInputTranscriptionOptionsModel.WHISPER_1);\n\nVoiceLiveSessionOptions options = new VoiceLiveSessionOptions()\n    .setInstructions(\"You are a helpful AI voice assistant.\")\n    .setVoice(BinaryData.fromObject(new OpenAIVoice(OpenAIVoiceName.ALLOY)))\n    .setModalities(Arrays.asList(InteractionModality.TEXT, InteractionModality.AUDIO))\n    .setInputAudioFormat(InputAudioFormat.PCM16)\n    .setOutputAudioFormat(OutputAudioFormat.PCM16)\n    .setInputAudioSamplingRate(24000)\n    .setInputAudioNoiseReduction(new AudioNoiseReduction(AudioNoiseReductionType.NEAR_FIELD))\n    .setInputAudioEchoCancellation(new AudioEchoCancellation())\n    .setInputAudioTranscription(transcription)\n    .setTurnDetection(turnDetection);\n\n// Send configuration\nClientEventSessionUpdate updateEvent = new ClientEventSessionUpdate(options);\nsession.sendEvent(updateEvent).subscribe();\n
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3. Send Audio Input

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byte[] audioData = readAudioChunk(); // Your PCM16 audio data\nsession.sendInputAudio(BinaryData.fromBytes(audioData)).subscribe();\n
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4. Handle Events

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session.receiveEvents().subscribe(event -> {\n    ServerEventType eventType = event.getType();\n    \n    if (ServerEventType.SESSION_CREATED.equals(eventType)) {\n        System.out.println(\"Session created\");\n    } else if (ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STARTED.equals(eventType)) {\n        System.out.println(\"User started speaking\");\n    } else if (ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STOPPED.equals(eventType)) {\n        System.out.println(\"User stopped speaking\");\n    } else if (ServerEventType.RESPONSE_AUDIO_DELTA.equals(eventType)) {\n        if (event instanceof SessionUpdateResponseAudioDelta) {\n            SessionUpdateResponseAudioDelta audioEvent = (SessionUpdateResponseAudioDelta) event;\n            playAudioChunk(audioEvent.getDelta());\n        }\n    } else if (ServerEventType.RESPONSE_DONE.equals(eventType)) {\n        System.out.println(\"Response complete\");\n    } else if (ServerEventType.ERROR.equals(eventType)) {\n        if (event instanceof SessionUpdateError) {\n            SessionUpdateError errorEvent = (SessionUpdateError) event;\n            System.err.println(\"Error: \" + errorEvent.getError().getMessage());\n        }\n    }\n});\n
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Voice Configuration

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OpenAI Voices

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// Available: ALLOY, ASH, BALLAD, CORAL, ECHO, SAGE, SHIMMER, VERSE\nVoiceLiveSessionOptions options = new VoiceLiveSessionOptions()\n    .setVoice(BinaryData.fromObject(new OpenAIVoice(OpenAIVoiceName.ALLOY)));\n
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Azure Voices

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// Azure Standard Voice\noptions.setVoice(BinaryData.fromObject(new AzureStandardVoice(\"en-US-JennyNeural\")));\n\n// Azure Custom Voice\noptions.setVoice(BinaryData.fromObject(new AzureCustomVoice(\"myVoice\", \"endpointId\")));\n\n// Azure Personal Voice\noptions.setVoice(BinaryData.fromObject(\n    new AzurePersonalVoice(\"speakerProfileId\", PersonalVoiceModels.PHOENIX_LATEST_NEURAL)));\n
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Function Calling

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VoiceLiveFunctionDefinition weatherFunction = new VoiceLiveFunctionDefinition(\"get_weather\")\n    .setDescription(\"Get current weather for a location\")\n    .setParameters(BinaryData.fromObject(parametersSchema));\n\nVoiceLiveSessionOptions options = new VoiceLiveSessionOptions()\n    .setTools(Arrays.asList(weatherFunction))\n    .setInstructions(\"You have access to weather information.\");\n
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Best Practices

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  1. Use async client — VoiceLive requires reactive patterns
    2. \n
  2. Configure turn detection for natural conversation flow
    3. \n
  3. Enable noise reduction for better speech recognition
    4. \n
  4. Handle interruptions gracefully with setInterruptResponse(true)
    5. \n
  5. Use Whisper transcription for input audio transcription
    6. \n
  6. Close sessions properly when conversation ends
    7. \n
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Error Handling

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session.receiveEvents()\n    .doOnError(error -> System.err.println(\"Connection error: \" + error.getMessage()))\n    .onErrorResume(error -> {\n        // Attempt reconnection or cleanup\n        return Flux.empty();\n    })\n    .subscribe();\n
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Reference Links

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ResourceURL
GitHub Sourcehttps://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-voicelive
Sampleshttps://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-voicelive/src/samples
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