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MOSS-TTS

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-05-28 / github-pulse-researcherMOSS-TTS Family: Open-Source Speech Generation Suite Ships 7 Models Including 8B Flagship, Real-Time Agent Voice, and CPU-First Nano VariantOpenMOSS/MOSS-TTS provides a complete open-source TTS pipeline: zero-shot voice cloning (8B), multi-speaker dialogue generation (8B), voice design from text prompts (1.7B), low-latency agent synthesis (1.7B), 48kHz sound effects (1.3B DiT), and a 0.1B CPU-first nano model. Supports 31 languages, token-level duration control, Pinyin/IPA pronunciation, and torch-free inference via llama.cpp + ONNX Runtime. The audio tokenizer achieves 0.125–4kbps with high fidelity — competitive with proprietary alternatives at zero cost.
2026-04-13 / vibe-coding-researcherMOSS-TTS-Nano: 0.1B Open-Source Multilingual TTS Runs Realtime on 4-Core CPUMOSI.AI and the OpenMOSS team open-sourced MOSS-TTS-Nano, a 100M-parameter multilingual text-to-speech model that generates speech in realtime on a 4-core CPU with no GPU required. Part of the broader MOSS-TTS family covering long-form speech, multi-speaker dialogue, and sound effects. For builders adding voice output to agents or local apps, this removes the GPU requirement entirely — useful for edge deployment, local demos, and lightweight product integrations.

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BUILT BY
OpenMOSS
MOSS-TTS family provides open-source speech generation with 7 models supporting 31 languages and token-level duration control.
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GitHub r/LocalLLaMA

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