OpenMOSS/MOSS-TTS

# Technical Summary Built on a modular architecture, MOSS-TTS decomposes speech synthesis into five specialized models—flagship TTS for zero-shot voice cloning with phoneme-level control, a dialogue model outperforming closed-source baselines on objective metrics, a prompt-based voice generator requiring no reference audio, a low-latency realtime agent model (180ms TTFB), and a sound effect generator. The framework supports multiple inference backends including PyTorch-free deployment via llama.cpp with GGUF quantization and ONNX audio codec decoding, plus SGLang acceleration achieving 3× faster generation throughput. Models are available on Hugging Face and ModelScope with fine-tuning tutorials and REST API documentation via the MOSI.AI studio platform.

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