Chatterbox-Turbo is a 350 million parameter text-to-speech model that clones a voice from a short reference clip, no training involved. You give it roughly ten seconds of someone speaking and a line of text, and it reads the text in that voice. The party trick is native paralinguistic tags: write [laugh], [chuckle], or [cough] inside your sentence and the voice performs it in place, which is what makes agent conversations stop sounding like dictation.
The Turbo part is real engineering, not branding: the decoder that turns speech tokens into audio used to take ten steps and now takes one, so the model needs less compute and less video memory than the earlier 500 million parameter Chatterbox models. It was built for voice agents that must answer in real time, and it holds up for narration too.