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title Speechmatics STS
description
published true
date 2026-02-08 18:41:18 UTC
tags
editor markdown
dateCreated 2026-02-08 18:34:28 UTC

Using Speechmatics STS with AVR

Speechmatics provides enterprise-grade speech recognition and synthesis.
With the Speech-to-Speech (STS) integration, Agent Voice Response (AVR) can handle real-time conversations where speech is directly transformed into speech—without requiring separate ASR and TTS services.

This approach reduces latency and simplifies the overall architecture.

Why use Speechmatics STS?

  • End-to-End Speech Conversations
    Direct speech-in → speech-out processing with no intermediate text pipeline.

  • Low Latency Streaming
    Optimized real-time audio streaming via WebSocket.

  • Production-Grade Quality
    High-accuracy ASR combined with natural-sounding TTS.

  • Flexible AI Control
    Uses OpenAI models for response generation while Speechmatics handles speech processing.

  • Native AVR Integration
    Fully compatible with AVR Core via the standard STS interface.

Repository

Environment Variables

Configure the Speechmatics STS container using the following environment variables:

# Required
SPEECHMATICS_API_KEY=your_speechmatics_api_key

Docker Setup

Add the Speechmatics STS service to your docker-compose.yml:

avr-sts-speechmatics:
  image: agentvoiceresponse/avr-sts-speechmatics
  platform: linux/x86_64
  container_name: avr-sts-speechmatics
  restart: always
  environment:
    - SPEECHMATICS_API_KEY=${SPEECHMATICS_API_KEY}
    - PORT=6040
  networks:
    - avr

Integration with AVR Core

Point avr-core to the Speechmatics STS service:

avr-core:
  image: agentvoiceresponse/avr-core
  platform: linux/x86_64
  container_name: avr-core
  restart: always
  environment:
    - PORT=5001
    - STS_URL=ws://avr-sts-speechmatics:6040
  ports:
    - 5001:5001
  networks:
    - avr

ℹ️ When using STS providers, AVR Core bypasses ASR + LLM + TTS and delegates speech handling entirely to the STS engine.

Performance Notes

  • Ideal for real-time conversational agents
  • Requires stable internet connectivity (cloud-based API)
  • Simplifies architecture by removing intermediate speech components