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Overview

DeepgramTTSService provides high-quality text-to-speech synthesis using Deepgram’s Aura API with streaming capabilities and ultra-low latency. The service offers various voice models optimized for conversational AI applications with efficient audio streaming.

Deepgram TTS API Reference

Pipecat’s API methods for Deepgram TTS integration

Example Implementation

Complete example with Silero VAD

Deepgram Documentation

Official Deepgram Aura TTS API documentation

Voice Models

Browse available Aura voice models

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Installation

To use Deepgram services, install the required dependencies: 
pip install "pipecat-ai[deepgram]"

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Prerequisites

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Deepgram Account Setup

Before using Deepgram TTS services, you need:
  1. Deepgram Account: Sign up at Deepgram Console
  2. API Key: Generate an API key from your project dashboard
  3. Voice Selection: Choose from available Aura voice models

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Required Environment Variables

  • DEEPGRAM_API_KEY: Your Deepgram API key for authentication