MOSS-TTS-Nano is a lightweight text-to-speech model designed for real-time voice generation in resource-constrained environments. It is part of the broader MOSS-TTS family and focuses on delivering high-quality speech synthesis with a compact architecture. The model operates efficiently on CPU-only systems, enabling deployment without specialized hardware. It supports multilingual voice cloning and produces high-fidelity audio with low latency. The system uses an autoregressive audio tokenization pipeline to generate natural-sounding speech. It is suitable for local applications, web services, and embedded systems. Overall, it brings advanced speech synthesis capabilities to lightweight and accessible environments.

Features

  • Lightweight model with around 0.1B parameters
  • Real-time speech generation on CPU
  • Multilingual voice cloning capabilities
  • Low-latency streaming audio output
  • High-quality 48 kHz stereo audio support
  • Designed for local and low-resource deployment

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python AI Agents, Python Text-to-Speech (TTS) Models

Registered

2026-05-04