NeuTTS

NeuTTS is a text-to-speech (TTS) system that runs entirely on-device, designed for ultra-realistic voice synthesis with instant voice cloning capabilities. The model is built on a 0.5-billion-parameter large language model (LLM) backbone, which enables it to generate natural-sounding speech directly on phones, laptops, or even low-power devices like Raspberry Pis without any cloud dependency. This local execution ensures complete data privacy because all audio processing and inference happen offline on the user’s hardware. One of its core features is instant voice cloning: users can create a custom voice from just three seconds of any audio sample. The cloning process is nearly real-time, allowing users to generate speech in the cloned voice immediately after providing the short recording. The system supports real-time generation with optimized inference that works smoothly on mid-range devices, delivering low-latency responses for interactive applications. NeuTTS also incorporates built-in security measures, including watermarked outputs to track generated audio and local processing that prevents any user data or audio fragments from leaving the device. This makes it suitable for sensitive environments such as healthcare, legal, or enterprise communications where data privacy is critical. On the technical side, the model architecture leverages an LLM backbone to achieve high-quality prosody and naturalness, rivaling cloud-based TTS services but without network latency or subscription costs. The small parameter count (0.5B) allows it to fit into limited memory and compute budgets, enabling deployment on consumer hardware. Developers can access the model via GitHub, where they can download the weights, run inference scripts, and integrate the TTS into their own applicati