# babysor/mockingbird

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36,899 stars · 5,207 forks · Python · NOASSERTION

## Links

- GitHub: https://github.com/babysor/MockingBird
- awesome-repositories: https://awesome-repositories.com/repository/babysor-mockingbird.md

## Topics

`ai` `deep-learning` `pytorch` `speech` `text-to-speech` `tts`

## Description

MockingBird is an AI voice cloning tool and text-to-speech system designed to generate synthetic speech. It functions as a voice synthesis trainer for building custom models from audio datasets, a command-line generator for producing audio files, and a text-to-speech server for remote application integration.

The project specializes in real-time voice cloning, which extracts vocal characteristics from short audio samples to mimic a target speaker's unique timbre. It utilizes reference-driven audio synthesis to condition pre-trained models on specific audio samples, allowing for the generation of arbitrary speech that maintains a specific voice identity.

The system includes a neural text-to-speech pipeline and capabilities for dataset-driven model training to master specific languages or speaking styles. Users can interact with the software through a command-line interface or via a web server that exposes synthesis functionality as an API.

## Tags

### Artificial Intelligence & ML

- [Zero-Shot Voice Cloning](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/zero-shot-voice-cloning.md) — Extracts vocal characteristics from short audio samples to mimic a target speaker without extensive training.
- [Custom Model Training](https://awesome-repositories.com/f/artificial-intelligence-ml/custom-model-training.md) — Provides a framework for fine-tuning voice models on specialized audio datasets.
- [Neural Text-to-Speech Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/neural-text-to-speech-engines.md) — Implements a deep learning pipeline to convert written text into synthetic speech by modeling vocal characteristics.
- [Real-Time Voice Cloning](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/real-time-voice-cloning.md) — Replicates vocal identities from short samples with low latency for immediate playback.
- [Voice Cloning Tools](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/voice-cloning-tools.md) — Functions as a machine learning pipeline for generating high-quality synthetic speech from audio recordings.
- [Voice Model Trainers](https://awesome-repositories.com/f/artificial-intelligence-ml/language-model-trainers/voice-model-trainers.md) — Includes a dedicated trainer for building custom voice models using specific audio datasets.
- [Audio](https://awesome-repositories.com/f/artificial-intelligence-ml/large-scale-model-training/training-datasets/audio.md) — Enables the optimization of voice synthesizers through training on specific audio datasets.
- [Voice Synthesizer Training](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/voice-synthesis/modular-voice-configurations/voice-synthesizer-training.md) — Enables the creation of custom voice models by training on target audio datasets. ([source](https://github.com/babysor/mockingbird#readme))
- [Text-to-Speech](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech.md) — Synthesizes natural human speech from text input using custom or pre-trained models.
- [Voice Cloning](https://awesome-repositories.com/f/artificial-intelligence-ml/voice-cloning.md) — Replicates specific human vocal characteristics from audio samples to create synthetic speech. ([source](https://github.com/babysor/mockingbird#readme))
- [Voice Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/speech-processing/voice-synthesis.md) — Hosts a speech server that provides voice generation capabilities to other applications via remote requests.
- [Self-Hosted Synthesis Servers](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/local-speech-synthesis/self-hosted-synthesis-servers.md) — Provides a web server for hosting and serving text-to-speech models for remote application integration. ([source](https://github.com/babysor/mockingbird#readme))

### Graphics & Multimedia

- [Reference-Driven Synthesis](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/audio-processing-systems/audio-synthesis/reference-driven-synthesis.md) — Generates arbitrary speech conditioned on a specific audio sample to maintain voice identity.
- [Audio Processing Pipelines](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/audio-processing-systems/audio-processing/speech-to-text-pipelines/audio-processing-pipelines.md) — Includes a processing pipeline to generate synthetic audio files via a command-line interface.

### Development Tools & Productivity

- [CLI Speech Generators](https://awesome-repositories.com/f/development-tools-productivity/cli-speech-generators.md) — Provides a command-line utility for producing synthetic audio files from text prompts and reference audio.
- [Command Line Interfaces](https://awesome-repositories.com/f/development-tools-productivity/command-line-interfaces.md) — Ships a command-line tool for generating synthetic audio files from text and reference samples. ([source](https://github.com/babysor/mockingbird#readme))