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azure-ai-voicelive-java

Enable real-time bidirectional voice conversations between Java applications and AI assistants.

2.9k|323|Updated Jan 16, 2026
Search Tags:#azure#sdk#real-time#java#websocket#voice-live#voice-assistant
One-click install
npx skills add https://github.com/microsoft/skills --skill azure-ai-voicelive-java-microsoft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-ai-voicelive-java
Source: https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-voicelive-java
Command: npx skills add https://github.com/microsoft/skills --skill azure-ai-voicelive-java-microsoft

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Enables real-time, bidirectional voice conversations with AI assistants from Java apps using WebSocket, simplifying integration of conversational agents into voice-enabled workflows.

Core Features & Use Cases

  • Real-time Voice Sessions: manage bidirectional audio streams between client and AI service.
  • Voice Configuration: choose OpenAI or Azure voices and tune modalities, sampling rate, and audio formats.
  • End-to-End Guides: see practical samples and patterns for building voice assistants in Java.

Quick Start

Create a Java client, start a VoiceLive session with a deployment such as gpt-4o-realtime-preview, and begin streaming audio to receive real-time responses.

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?▼

To build a real-time voice assistant in Java, create a client using the Java SDK to start a VoiceLive session over WebSocket, configuring voice options and audio formats to manage bidirectional audio streams.

Can I configure OpenAI and Azure voices for real-time speech in Java applications?▼

Yes, you can configure voice options for real-time speech in Java applications by selecting either OpenAI or Azure voices, tuning modalities, sampling rates, and audio formats within the VoiceLive session.

What is needed to stream bidirectional audio to an AI assistant from a Java app?▼

Streaming bidirectional audio to an AI assistant from a Java app requires configuring a VoiceLive session with a deployment like gpt-4o-realtime-preview, setting audio formats, and streaming audio to receive real-time responses.

Does the Azure Java SDK support low-latency voice sessions for customer support bots?▼

Yes, the Azure Java SDK supports low-latency voice sessions suitable for customer support bots by managing bidirectional audio streams between the Java client and the AI service using WebSocket.

What are the limitations of using WebSocket for real-time AI voice conversations in Java?▼

Using WebSocket for real-time AI voice conversations in Java requires careful configuration of voice options, session settings, and audio formats, and is dependent on maintaining a stable connection for low-latency speech input and output.

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