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MockingBird

babysor/MockingBird

Clone a voice in 5 seconds to generate arbitrary speech in real-time

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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37k stars5.2k forksLast push Mar 3, 2026 Python Other

Decision brief

MockingBird is a Python-based tool for text-to-speech and speech cloning using PyTorch that offers real-time speech generation.

Good fit when

Use MockingBird when you require rapid voice cloning, as it claims to clone voices in just five seconds.
Consider MockingBird if real-time arbitrary speech generation is a priority for your project.

Avoid when

Avoid MockingBird if you are working with a version of Python lower than 3.7, as it explicitly requires newer versions to function correctly.
Do not use this tool if your environment does not support PyTorch1.9.0 and cudatoolkit10.2, needed for project requirements.

Observed Jul 17, 2026 · Source: enrich:decision_facts

MockingBird alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Slowing (200d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): 4 low (4 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install MockingBird

PyPI

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Same-category neighbours. No typed graph edges are catalogued for this tool yet.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A Python-based repository using PyTorch for text-to-speech (TTS) and speech cloning.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
Languages: python
Source: github.language · Sep 20, 2026

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

**Python 3.7 or higher ** is needed to run the toolbox.

Source link

README

1. Install Requirements 1.1 General Setup Follow the original repo to test if you got all environment ready. Python 3.7 or higher is needed to run the toolbox. Install PyTorch. If you get an This error is probably due to a low version of python, try using 3.9 and it will install...

For agents

This page has a .md twin and JSON over the API.

/tools/babysor-mockingbird.md GET /api/graphcanon/tools/babysor-mockingbird GET /api/graphcanon/graph?tool=babysor-mockingbird