Voice Integration

Voice Bot Setup

Integrate advanced voice capabilities into your applications. Learn how to set up speech recognition, voice synthesis, and real-time audio processing.

Voice Features

Advanced voice processing capabilities for natural conversations.

Speech Recognition

Advanced speech-to-text capabilities

  • Real-time transcription
  • Multiple language support
  • Noise cancellation
  • Speaker identification

Voice Synthesis

Natural-sounding voice generation

  • Multiple voice options
  • Emotion and tone control
  • SSML support
  • Custom voice training

Audio Processing

High-quality audio handling

  • Echo cancellation
  • Audio compression
  • Latency optimization
  • Quality enhancement

Real-time Communication

Low-latency voice interactions

  • WebRTC integration
  • Streaming audio
  • Interruption handling
  • Context preservation

Voice Models

Choose from our selection of high-quality voice models for different use cases.

Nova

Balanced voice model for general use

Characteristics:

  • Natural tone
  • Clear pronunciation
  • Medium speed

Best for: Customer service, general conversations

Alloy

Professional voice for business applications

Characteristics:

  • Professional tone
  • Precise articulation
  • Steady pace

Best for: Business calls, presentations, training

Echo

Friendly voice for casual interactions

Characteristics:

  • Warm tone
  • Conversational style
  • Variable pace

Best for: Personal assistants, entertainment, casual chat

Implementation Example

Complete example of voice bot setup and configuration.

Voice Bot 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);
  }
}

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Now you can integrate voice capabilities into your AI applications.

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