Project Title

MockingBird — AI拟声: 5秒内克隆您的声音并生成任意语音内容

Overview

MockingBird is an open-source Python project that enables users to clone a voice in just 5 seconds and generate arbitrary speech in real-time. It stands out for its support for Chinese mandarin, compatibility with PyTorch, and its ability to run on both Windows and Linux operating systems. The project is designed to be easy to use and offers an impressive effect with newly-trained synthesizers by reusing pretrained encoders and vocoders.

Key Features

Supports Chinese mandarin and has been tested with multiple datasets.
Compatible with PyTorch, tested in version 1.9.0 with GPU Tesla T4 and GTX 2060.
Runs on both Windows and Linux operating systems, including M1 MACOS.
Easy and awesome effect with newly-trained synthesizer, reusing pretrained encoder/vocoder.
Webserver ready to serve results with remote calling capabilities.

Use Cases

Voice cloning for personal or commercial use, allowing users to generate speech in their own voice.
Text-to-speech applications, where users can input text and receive synthesized speech output.
Voice synthesis for applications in entertainment, education, and accessibility.

Advantages

Fast voice cloning capability within 5 seconds.
Supports a wide range of datasets and is tested with multiple hardware configurations.
Cross-platform compatibility, including Windows, Linux, and M1 MACOS.
Easy setup and use, with a focus on user-friendly operation.

Limitations / Considerations

The project is no longer actively updated, but the developer is pushing the technology forward in other open-source projects.
The project may require specific hardware and software configurations for optimal performance.
Commercial use of the cloud-hosted version is not yet supported.

Real-Time Voice Cloning: A project that also focuses on voice cloning but does not specifically target Chinese mandarin or have the same level of cross-platform support.
Tacotron 2: A text-to-speech synthesis project that uses deep learning and is known for its high-quality voice synthesis.
Lyrebird: A multi-speaker text-to-speech system that allows users to train their own voice models.

Basic Information

GitHub: https://github.com/babysor/MockingBird
Stars: 36,559
License: Unknown
Last Commit: 2025-08-20

📊 Project Information

Project Name: MockingBird
GitHub URL: https://github.com/babysor/MockingBird
Programming Language: Python
⭐ Stars: 36,559
🍴 Forks: 5,264
📅 Created: 2021-08-07
🔄 Last Updated: 2025-08-20

🏷️ Project Topics

Topics: [, ", a, i, ", ,, , ", d, e, e, p, -, l, e, a, r, n, i, n, g, ", ,, , ", p, y, t, o, r, c, h, ", ,, , ", s, p, e, e, c, h, ", ,, , ", t, e, x, t, -, t, o, -, s, p, e, e, c, h, ", ,, , ", t, t, s, ", ]

🎥 Video Tutorials

DEMO VIDEO

This article is automatically generated by AI based on GitHub project information and README content analysis

MockingBird

Project Description