The fastest method for installing this model locally is by using Docker.
Refer to the instructions below to proceed.
Hands-free setup: the system self-downloads the heavy model files.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
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🔍 Hash-sum: 02815a0184ca7794abb7ad059f4e47f3 | 🕓 Last update: 2026-06-23
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MOSS-TTS is a next‑generation text‑to‑speech model that employs a transformer‑based architecture for ultra‑realistic voice generation. It supports multiple languages and dialects, delivering natural prosody and emotion through its advanced phoneme tokenizer and context‑aware encoder. The model achieves *real‑time* synthesis on consumer hardware, thanks to optimized inference kernels and a compact parameter set. A built‑in speaker embedding system allows users to personalize voice characteristics, while a *high‑fidelity* loss function ensures minimal artifacts. The following table summarizes key technical specifications for quick reference.
| Parameter | Value |
|---|---|
| Model Type | Transformer‑based TTS |
| Supported Languages | 30+ languages & dialects |
| Parameter Count | 150M |
| Synthesis Speed | ≤ 50 ms per 100 characters |
| Speaker Embeddings | Customizable voice profiles |
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