Chatterbox Turbo is an open-source text-to-speech (TTS) model designed for fast, expressive speech synthesis with built-in authentication capabilities. It serves as a production-ready solution for developers needing high-quality voice generation with security features.

The model features paralinguistic prompting with text-based tags that enable natural vocal reactions like sighs, gasps, and coughs in cloned voices. It offers zero-shot voice cloning requiring only 5 seconds of reference audio, emotion exaggeration control with adjustable intensity parameters, and faster-than-realtime inference with alignment-informed generation. Built-in PerTh watermarking provides authentication for generated audio content.

Chatterbox Turbo operates with 350M parameters and achieves 75ms latency while running 6x faster than real-time on GPU hardware. The model uses alignment-informed generation techniques for real-time performance and incorporates psychoacoustic principles for its watermarking system that embeds data in imperceptible audio regions.

The system enables developers to build voice AI applications that are both open and accountable, with applications including real-time voice assistants, interactive media, and production voice synthesis. It outperforms proprietary closed-source models in head-to-head testing scenarios.

The product targets developers building voice AI applications, with specific mentions of use by developers at companies like Age of Learning, Red Games, and Netflix. It's available through pip installation, comprehensive documentation, and hosted on GitHub and Hugging Face platforms.