Chatterbox TTS is an open-source text-to-speech model designed for content creators, developers, and AI agent builders. It offers state-of-the-art zero-shot voice cloning and unique emotion exaggeration control, aiming to provide high-quality, expressive speech synthesis that rivals closed-source solutions.

How It Works

Chatterbox utilizes a Llama backbone and alignment-informed inference for ultra-stable audio generation. Its key innovation is the emotion exaggeration control, allowing users to fine-tune the intensity and expressiveness of synthesized speech. This approach, combined with training on a large dataset, aims for superior quality and control in voice generation.

Quick Start & Requirements

• Install via pip: pip install chatterbox-tts
• Requires Python 3.11 and CUDA. Tested on Debian 11.
• Official Hugging Face Gradio app available for immediate testing.
• Example usage scripts (example_tts.py, example_vc.py) are provided.

Highlighted Details

• Benchmarked against and preferred over leading closed-source systems like ElevenLabs.
• Features unique emotion exaggeration control for expressive speech.
• Implements PerTh Watermarking for responsible AI, embedding imperceptible watermarks into outputs.
• Supports voice conversion via an audio_prompt_path argument.

Maintenance & Community

• Developed by Resemble AI.
• Active Discord community for support and collaboration.

Licensing & Compatibility

• Licensed under MIT, permitting commercial use and integration into closed-source projects.

Limitations & Caveats

• Currently supports only English language synthesis.
• While benchmarked, performance can vary based on prompt audio quality and speaking style.