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Speech-to-Speech

Build local voice agents with open-source models

★ 6,237 GitHub Apache-2.0 speechvoiceaudio-agentsopen-sourcehuggingfacelocal-aivoice-agents AI Agents

Overview

Speech-to-Speech by Hugging Face lets you build, customize, and run voice agents entirely on your local hardware using open-source models. Enjoy full privacy, zero API costs, and complete control over your voice AI pipeline — from speech recognition and natural language understanding to speech synthesis. With 6.2K+ GitHub stars and an Apache-2.0 license, this tool integrates with the Hugging Face ecosystem, supports multiple languages, and runs efficiently on consumer GPUs. Perfect for voice assistants, call automation, accessibility tools, and speech AI experimentation.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Guides & articles

Getting Started with Speech-to-Speech: A Practical Tutorial for Building Voice Agents

Follow this step-by-step tutorial to set up Speech-to-Speech on your local machine, from cloning the repo to running your first voice agent.

Jul 21, 2026

A Complete Guide to Speech-to-Speech: Build Local Voice Agents with Open-Source Models

Learn everything you need to know about Speech-to-Speech by Hugging Face — the open-source framework for building private, local voice agents with zero API costs.

Jul 21, 2026