GraphCanon updated 3w · GitHub synced 3w
Decision brief
Metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM.
Good fit when
- When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches
- If your project requires flexibility in dependency management through poetry
Avoid when
- For users lacking a GPU with at least 12GB VRAM
- Without Python version 3.10 to 3.12, metavoice-src might not function properly
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (728d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- 214 low (214 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install metavoice-srcSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository contains foundational code and resources for developing human-like, expressive text-to-speech (TTS) systems leveraging deep learning techniques with PyTorch.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 29, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 29, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 29, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 29, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Installation
Pre-requisites:
- GPU VRAM >=12GB
- Python >=3.10,<3.12
- pipx (installation instructions)
Environment setup
---
# install ffmpeg
wget https://johnvansickle.com/ffmpeg/builds/ffmpeg-git-amd64-static.tar.xz
wget https://johnvansickle.com/ffmpeg/builds/ffmpeg-git-amd64-static.tar.xz.md5
md5sum -c ffmpeg-git-amd64-static.tar.xz.md5
tar xvf ffmpeg-git-amd64-static.tar.xz
sudo mv ffmpeg-git-*-static/ffprobe ffmpeg-git-*-static/ffmpeg /usr/local/bin/
rm -rf ffmpeg-git-*
---
# install rust if not installed (ensure you've restarted your terminal after installation)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
Project dependencies installation
- Using poetry
- Using pip/conda
Using poetry (recommended)
---
# install poetry if not installed (ensure you've restarted your terminal after installation)
pipx install poetry
---
# if running from Linux, keyring backend can hang on `poetry install`. This prevents that.
export PYTHON_KEYRING_BACKEND=keyring.backends.fail.Keyring
For agents
This page has a .md twin and JSON over the API.