Chatterbox Turbo is an open-source text-to-speech (TTS) system that emphasizes speed, expressiveness, and accountability. It operates up to six times faster than real-time on a GPU, with a latency of just 75 milliseconds. Developers can clone voices using only five seconds of reference audio, making it a competitive option against proprietary models. The system is MIT licensed, ensuring flexibility for developers, and features built-in watermarking through the PerTh (Perceptual Threshold) system, which embeds data in a way that remains imperceptible to users. One standout feature is its unique emotion control, allowing developers to adjust vocal expressions easily. This capability ranges from monotone to dramatically expressive with a single parameter, enhancing the realism of generated speech. Chatterbox Turbo also supports paralinguistic prompting, enabling natural vocal reactions like sighs or gasps, which adds depth to the interaction. The model is designed for real-time applications, making it suitable for voice assistants and interactive media. Testing showed that Chatterbox Turbo outperforms other models, such as ElevenLabs Turbo 2.5 and VibeVoice 7B, in generating high-quality speech from short audio clips. The watermarked audio files not only safeguard creators but also demonstrate a commitment to responsible AI use. With simple installation via pip and comprehensive documentation available, Chatterbox Turbo caters specifically to developers eager to integrate generative voice technology into their projects.