MockingBird is an open-source voice cloning and real-time speech synthesis toolkit that can replicate a target speaker's voice from as little as five seconds of audio. Built in PyTorch with a modular encoder-synthesizer-vocoder pipeline, it provides preprocessing, training, and inference components alongside a demo toolbox and optional web server.
Fast Voice Cloning
- Builds a speaker embedding from short audio clips and generates synthetic speech with similar timbre and prosody in near real-time
- Pretrained encoders and vocoders can be reused while training only the synthesizer, significantly reducing time to results
- Community-shared pretrained models with side-by-side quality comparisons help users choose the best configuration
Cross-Platform and Tooling
- Cross-platform support covers Windows and Linux with tested GPU configurations including Tesla T4 and GTX series
- Documented workarounds for Apple M1 hardware lower the barrier for macOS users
- Comprehensive tooling includes training scripts, an interactive demo toolbox, and a web server interface for rapid experimentation
Modular Architecture
- PyTorch codebase cleanly separated into encoder, synthesizer, and vocoder modules that can be independently replaced or extended
- Detailed platform-specific setup guides, extensive README documentation, and a community wiki support newcomers
- Ideal for researchers validating speaker modeling methods, product teams prototyping speech-enabled applications, and educators teaching TTS pipelines