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azure-ai-voicelive-java

Enable real-time bidirectional voice conversations in Java via WebSocket streaming.

Updated Apr 12, 2026
Search Tags:#azure#sdk#real-time#java#websocket#voice-assistant#voicelive
One-click install
npx skills add https://github.com/davidrrowley/CortexYouV3 --skill azure-ai-voicelive-java-davidrrowley
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-ai-voicelive-java
Source: https://github.com/davidrrowley/CortexYouV3/tree/main/.agents/skills/azure-ai-voicelive-java
Command: npx skills add https://github.com/davidrrowley/CortexYouV3 --skill azure-ai-voicelive-java-davidrrowley

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Enables Java applications to perform real-time, bidirectional voice conversations with AI assistants via WebSocket, reducing latency and manual orchestration for voice-enabled AI interactions.

Core Features & Use Cases

  • Real-time voice sessions via WebSocket between a Java client and AI agents.
  • Flexible voice options (OpenAI voices and Azure voices) and configurable transcription.
  • End-to-end workflow support: session management, audio streaming (PCM16 24kHz mono), and error handling for robust voice apps.
  • Use Case: Build a voice-enabled assistant that can converse with users in real time, translate speech to text, synthesize AI responses, and play back audio.

Quick Start

Setup a VoiceLiveAsyncClient with endpoint and API key and initiate a session to start streaming audio to the AI.

Frequently Asked Questions about azure-ai-voicelive-java

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a real-time voice assistant in Java using WebSocket streaming?▼

To build a real-time voice assistant in Java, use Azure VoiceLive to establish bidirectional WebSocket sessions for streaming audio. The SDK provides async clients to manage sessions, stream PCM16 24kHz mono audio, and handle AI voice interactions.

What audio format is required for real-time voice conversations with Azure VoiceLive in Java?▼

Real-time voice conversations with Azure VoiceLive require PCM16 24kHz mono audio format. Java applications must stream audio in this specific configuration to ensure accurate transcription and playback with the AI voice assistant.

Can I use OpenAI voices and Azure voices interchangeably in a Java voice assistant?▼

Yes, Java voice assistants using Azure VoiceLive support flexible voice options across both OpenAI and Azure voices. Developers can configure session settings to select and switch between available voices for AI responses.

Does the Azure VoiceLive Java SDK support function calling for voice-enabled applications?▼

Yes, the Azure VoiceLive Java SDK supports function calling capabilities within real-time voice sessions. This allows Java applications to trigger specific functions based on user intent during bidirectional voice conversations.

How do I set up authentication for a Java WebSocket voice AI client with Azure VoiceLive?▼

To set up authentication for a Java WebSocket voice AI client with Azure VoiceLive, configure the VoiceLiveAsyncClient using your specific endpoint and API key. This token and auth support enables secure real-time streaming sessions.

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