Moss Tts Nano Speech

MOSS-TTS-Nano Speech Generation Skill

Skill by ara.so — Daily 2026 Skills collection.

MOSS-TTS-Nano is an open-source multilingual tiny TTS model (0.1B parameters) from MOSI.AI and the OpenMOSS team. It uses an Audio Tokenizer + LLM autoregressive pipeline to generate 48 kHz stereo speech in real time, supports 20 languages, voice cloning, streaming inference, and runs on CPU without a GPU.

Installation

Conda (recommended)

conda create -n moss-tts-nano python=3.12 -y
conda activate moss-tts-nano

git clone https://github.com/OpenMOSS/MOSS-TTS-Nano.git
cd MOSS-TTS-Nano

pip install -r requirements.txt
pip install -e .

Fix WeTextProcessing if it fails

conda install -c conda-forge pynini=2.1.6.post1 -y
pip install git+https://github.com/WhizZest/WeTextProcessing.git

After pip install -e . the moss-tts-nano CLI command is available in the active environment.

Model Weights

Models are auto-downloaded from Hugging Face on first run:

• TTS model: OpenMOSS-Team/MOSS-TTS-Nano
• Audio tokenizer: OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano