azure-ai-voicelive-java
Lets your agent converse by voice in real-time. Good for creating interactive voice assistants.
What it does
This code allows your computer program to have real-time voice conversations with AI assistants. It uses a special connection (WebSocket) to send and receive audio quickly.
When to use it
- ✓Creating a chatbot that responds with voice.
- ✓Developing a virtual assistant that understands and speaks.
- ✓Integrating voice conversations into an application.
Example of what to ask your AI
“I want my program to have voice conversations with the AI.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You add this code to your Java program. It sets up a connection to send your audio and receive the AI's response, much like a phone call.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill azure-ai-voicelive-javaOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/azure-ai-voicelive-java/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Azure AI VoiceLive SDK for Java
Real-time, bidirectional voice conversations with AI assistants using WebSocket technology.
Installation
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-voicelive</artifactId>
<version>1.0.0-beta.2</version>
</dependency>
Environment Variables
AZURE_VOICELIVE_ENDPOINT=https://<resource>.openai.azure.com/
AZURE_VOICELIVE_API_KEY=<your-api-key>
Authentication
API Key
import com.azure.ai.voicelive.VoiceLiveAsyncClient;
import com.azure.ai.voicelive.VoiceLiveClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
VoiceLiveAsyncClient client = new VoiceLiveClientBuilder()
.endpoint(System.getenv("AZURE_VOICELIVE_ENDPOINT"))
.credential(new AzureKeyCredential(System.getenv("AZURE_VOICELIVE_API_KEY")))
.buildAsyncClient();
DefaultAzureCredential (Recommended)
import com.azure.identity.DefaultAzureCredentialBuilder;
VoiceLiveAsyncClient client = new VoiceLiveClientBuilder()
.endpoint(System.getenv("AZURE_VOICELIVE_ENDPOINT"))
.credential(new DefaultAzureCredentialBuilder().build())
.buildAsyncClient();
Key Concepts
| Concept | Description |
|---|---|
VoiceLiveAsyncClient |
Main entry point for voice sessions |
VoiceLiveSessionAsyncClient |
Active WebSocket connection for streaming |
VoiceLiveSessionOptions |
Configuration for session behavior |
Audio Requirements
- Sample Rate: 24kHz (24000 Hz)
- Bit Depth: 16-bit PCM
- Channels: Mono (1 channel)
- Format: Signed PCM, little-endian
Core Workflow
1. Start Session
import reactor.core.publisher.Mono;
client.startSession("gpt-4o-realtime-preview")
.flatMap(session -> {
System.out.println("Session started");
// Subscribe to events
session.receiveEvents()
.subscribe(
event -> System.out.println("Event: " + event.getType()),
error -> System.err.println("Error: " + error.getMessage())
);
return Mono.just(session);
})
.block();
2. Configure Session Options
import com.azure.ai.voicelive.models.*;
import java.util.Arrays;
ServerVadTurnDetection turnDetection = new ServerVadTurnDetection()
.setThreshold(0.5) // Sensitivity (0.0-1.0)
.setPrefixPaddingMs(300) // Audio before speech
.setSilenceDurationMs(500) // Silence to end turn
.setInterruptResponse(true) // Allow interruptions
.setAutoTruncate(true)
.setCreateResponse(true);
AudioInputTranscriptionOptions transcription = new AudioInputTranscriptionOptions(
AudioInputTranscriptionOptionsModel.WHISPER_1);
VoiceLiveSessionOptions options = new VoiceLiveSessionOptions()
.setInstructions("You are a helpful AI voice assistant.")
.setVoice(BinaryData.fromObject(new OpenAIVoice(OpenAIVoiceName.ALLOY)))
.setModalities(Arrays.asList(InteractionModality.TEXT, InteractionModality.AUDIO))
.setInputAudioFormat(InputAudioFormat.PCM16)
.setOutputAudioFormat(OutputAudioFormat.PCM16)
.setInputAudioSamplingRate(24000)
.setInputAudioNoiseReduction(new AudioNoiseReduction(AudioNoiseReductionType.NEAR_FIELD))
.setInputAudioEchoCancellation(new AudioEchoCancellation())
.setInputAudioTranscription(transcription)
.setTurnDetection(turnDetection);
// Send configuration
ClientEventSessionUpdate updateEvent = new ClientEventSessionUpdate(options);
session.sendEvent(updateEvent).subscribe();
3. Send Audio Input
byte[] audioData = readAudioChunk(); // Your PCM16 audio data
session.sendInputAudio(BinaryData.fromBytes(audioData)).subscribe();
4. Handle Events
session.receiveEvents().subscribe(event -> {
ServerEventType eventType = event.getType();
if (ServerEventType.SESSION_CREATED.equals(eventType)) {
System.out.println("Session created");
} else if (ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STARTED.equals(eventType)) {
System.out.println("User started speaking");
} else if (ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STOPPED.equals(eventType)) {
System.out.println("User stopped speaking");
} else if (ServerEventType.RESPONSE_AUDIO_DELTA.equals(eventType)) {
if (event instanceof SessionUpdateResponseAudioDelta) {
…
FAQ
What is WebSocket?
It's a technology that enables continuous, two-way communication between your program and the AI server, like a real-time chat.
Do I need to know Java programming?
Yes, this code is written in Java and requires basic programming knowledge in that language.
How does the AI know what to say?
You can configure the AI with instructions and choose the voice it will use to respond.
Details
Original description by the author
Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2288
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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