speech-to-speech
Enrichment pendingBuild local voice agents with open-source models
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Trust & integrity
Full report- 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
- As of today · Source: none
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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
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
Requires Python 3.10+.Source link
Tags
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-audioon 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.