The shortest path to running this model is by activating Hyper-V features.
Make sure to follow the instructions below.
The script takes care of fetching the multi-gigabyte model weights.
Without any user input, the software calibrates parameters for optimal hardware usage.
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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