Integrate advanced voice capabilities into your applications. Learn how to set up speech recognition, voice synthesis, and real-time audio processing.
Advanced voice processing capabilities for natural conversations.
Advanced speech-to-text capabilities
Natural-sounding voice generation
High-quality audio handling
Low-latency voice interactions
Choose from our selection of high-quality voice models for different use cases.
Balanced voice model for general use
Best for: Customer service, general conversations
Professional voice for business applications
Best for: Business calls, presentations, training
Friendly voice for casual interactions
Best for: Personal assistants, entertainment, casual chat
Complete example of voice bot setup and configuration.
// Voice Bot Setup and Configuration
import { AINexusClient } from '@ainexuspro/sdk';
const client = new AINexusClient({
apiKey: process.env.AINEXUS_API_KEY,
environment: 'production'
});
// Voice bot configuration
const voiceBotConfig = {
name: 'Customer Service Voice Bot',
voiceModel: 'nova',
language: 'en-US',
audioSettings: {
sampleRate: 16000,
channels: 1,
bitDepth: 16,
compression: 'opus'
},
speechRecognition: {
language: 'en-US',
enablePunctuation: true,
enableSpeakerDiarization: false,
maxAlternatives: 1
},
voiceSynthesis: {
voice: 'nova',
speed: 1.0,
pitch: 1.0,
volume: 0.8,
emotion: 'neutral'
},
realTimeSettings: {
enableInterruption: true,
silenceTimeout: 2000,
maxSpeechDuration: 30000,
enableEchoCancellation: true
}
};
// Initialize voice session
async function startVoiceSession() {
try {
const session = await client.voice.start(voiceBotConfig);
console.log('Voice session started:', session.sessionId);
// Set up event handlers
session.on('speechStart', () => {
console.log('User started speaking');
});
session.on('speechEnd', (transcript) => {
console.log('User said:', transcript);
});
session.on('responseStart', () => {
console.log('Bot started responding');
});
session.on('responseEnd', (audioData) => {
console.log('Bot finished responding');
// Play the audio response
playAudio(audioData);
});
session.on('error', (error) => {
console.error('Voice session error:', error);
});
return session;
} catch (error) {
console.error('Failed to start voice session:', error);
}
}
// Handle voice input
async function processVoiceInput(session, audioData) {
try {
const response = await session.sendAudio(audioData);
return response;
} catch (error) {
console.error('Error processing voice input:', error);
}
}
// End voice session
async function endVoiceSession(session) {
try {
await session.end();
console.log('Voice session ended');
} catch (error) {
console.error('Error ending voice session:', error);
}
}
Now you can integrate voice capabilities into your AI applications.
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