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huggingface/speech-to-speech

Build local voice agents with open-source models

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Python Apache-2.0Created Aug 7, 2024

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Maintenance
Very active (1d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Organization account
As of today · Source: github_public_v1
Security (OSV)
No lockfile
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Backing

Company and funding context for Hugging Face. Display-only - not part of trust score or organic ranking.

Company
Hugging Face·GitHub org profile·today
Employees
160·Wikidata (P1128 employees)·today
Funding
$235,000,000 (2023-08)·GraphCanon curated seed (public press)·today
Commercial model
OSS + managed cloud·GraphCanon curated seed·today

Overview

Build local voice agents with open-source models

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 11, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 11, 2026

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 11, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

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Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

Requires Python 3.10+.
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README

Installation

Requires Python 3.10+.

pip install speech-to-speech

The default install covers the standard realtime path:

  • Parakeet TDT for STT
  • OpenAI-compatible API for the language model
  • Qwen3-TTS for speech output, using the GGML backend by default on non-macOS platforms and mlx-audio on Apple Silicon
  • local audio and realtime server modes

macOS and non-macOS dependencies are resolved automatically via platform markers in pyproject.toml.


Docker

Install the NVIDIA Container Toolkit, then:

docker compose up

The compose file starts a llama.cpp server with Gemma 4, starts the TCP socket server, and exposes ports 8080, 12345, and 12346.