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NextEVI Speech-to-Speech (EVI)

NextEVI’s Speech-to-Speech platform enables natural, full-duplex voice conversations between users and AI assistants with built-in emotion recognition and empathetic responses.

Real-time Voice

Full-duplex voice communication with sub-200ms latency

Emotion Recognition

Real-time emotion detection and empathic AI responses

Natural Conversations

Advanced turn detection and interruption handling

Easy Integration

React SDK and WebSocket API for seamless integration

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How It Works

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Core Capabilities

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Empathic AI Features

  • Real-time Emotion Detection: Analyzes vocal patterns to detect emotions like joy, sadness, anger, and surprise
  • Empathic Responses: AI generates contextually appropriate responses based on detected emotions
  • Vocal Modulation Analysis: Advanced processing of speech patterns beyond just words

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Advanced Voice Processing

  • Speech-to-Text (STT): High-accuracy transcription with real-time streaming
  • Large Language Model: Intelligent response generation with context awareness
  • Text-to-Speech (TTS): Natural-sounding voice synthesis with multiple voice options
  • Audio Processing: Echo cancellation, noise suppression, and audio optimization

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Real-time Communication

  • WebSocket-based: Low-latency bidirectional communication
  • Interruption Handling: Natural conversation flow with intelligent TTS interruption
  • Turn Detection: Automatic detection of speaking turns and pauses
  • Streaming Responses: Real-time response generation and delivery

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Use Cases

Create empathetic customer service agents that understand emotional context and respond appropriately to frustrated or confused customers.
Build AI companions for elderly care, mental health support, or general companionship with emotional intelligence.
Develop tutoring systems that adapt their teaching style based on student engagement and emotional state.
Create patient-facing applications that provide emotional support during medical consultations or therapy sessions.
Integrate emotional AI characters that respond dynamically to player emotions and create immersive experiences.

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Integration Options

React SDK

Recommended for React appsComplete hooks-based integration with TypeScript support and built-in state management.

WebSocket API

For any platformDirect WebSocket integration for maximum control and cross-platform compatibility.

LiveKit Integration

For LiveKit agentsSeamless integration with LiveKit Agents for real-time voice applications and playground testing.

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Next Steps

1

Quick Start

Get your first voice chat running in 5 minutes
2

Choose Integration

Pick React SDK or WebSocket API
3

Add Advanced Features

Explore emotion recognition and turn detection
4

Authentication

Set up secure authentication for production

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Developer Resources

API Reference

Complete WebSocket API documentation

Error Handling

Common errors and troubleshooting