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NeuTTS Air

NeuTTS Air is an on-device, high-fidelity text-to-speech model that supports instant voice cloning and low-latency inference.

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.

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NeuTTS Air
Resource Info
🗣️ Text to Speech 🔊 Audio 🌱 Open Source