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How to install babysor/MockingBird. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.

babysor/MockingBird Installation Guide

How to install babysor/MockingBird. Official project installation instructions and setup guide.

Automated Install (Recommended)

Quick installation instructions for babysor/MockingBird. This is the fastest way to complete project installation and setup.

Install via curl

curl -fsSL https://hexmos.com/ipm-install | bash && 
ipm i babysor/MockingBird
or

Install via npx

npx @hexmos/ipm i babysor/MockingBird

Prerequisites

Python

language

Version: >=3.7.0

Required to run the toolbox and synthesis logic.

FFmpeg

system_tool

Essential for audio format conversion and signal processing.

PyTorch

library

Version: >=1.9.0

Deep learning framework used for the encoder, synthesizer, and vocoder.

CUDA Toolkit

system_tool

Version: >=10.2

NVIDIA GPU with CUDA support is highly recommended for real-time performance.

Manual Installation Methods

Manual installation instructions. How to install from GitHub source.

Standard CLI Setup

git clone https://github.com/babysor/MockingBird.git

cd MockingBird

pip install -r requirements.txt

pip install webrtcvad-wheels

Post Installation Steps

  • Download pre-trained models and place them in the corresponding folders (encoder/synthesizer/vocoder).
  • Launch the interactive GUI toolbox: `python demo_toolbox.py -d <datasets_root>`.
  • Launch the web interface: `python web.py` and access http://localhost:8080.
  • For Chinese support, ensure you have the Mandarin synthesizer model selected in the interface.