Overview
NeuTTS Air is an on-device text-to-speech (TTS) model developed by Neuphonic that targets realistic, low-latency speech synthesis under constrained model sizes. Built on a 0.5B backbone and paired with an efficient neural audio codec, NeuTTS Air enables instant voice cloning from a few seconds of reference audio and provides GGML/GGUF formats for local inference on phones, laptops, or embedded devices.
Key Features
- High realism given model size: natural, human-like voice quality optimized for small footprints.
- Instant voice cloning: create a speaker profile from as little as 3 seconds of audio.
- Device-optimized formats: GGML/GGUF and ONNX decoder options for cross-platform deployment.
- Streaming synthesis: supports chunked generation for real-time playback.
Use Cases
- Voice assistants and local copilots that require privacy-preserving, offline TTS.
- Embedded devices and IoT products where low-power, low-latency speech is essential.
- Content creation and lightweight dubbing workflows for rapid prototyping.
- Accessibility features delivering customizable local voice output.
Technical Details
- Architecture: lightweight 0.5B backbone combined with a dedicated neural audio codec for a balance of quality and performance.
- Codec: NeuCodec neural audio codec for high-quality reconstruction at low bitrates.
- Deployment: GGML/GGUF and ONNX-compatible options for efficient on-device inference.
- Efficiency: engineered for low compute and power consumption, suitable for privacy-sensitive and latency-critical applications.