MOSS TTS

MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS.

Generate Convert Improve

Install / Use

npx skills add OpenMOSS/MOSS-TTS

Installs into whichever agent you are using.

About this skill

Quality Score

0/100

README

MOSS-TTS Family

</div>

English | 简体中文

MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS.

News

2026.6.18: 🚀 MOSS-TTS-Local-Transformer-v1.5 receives Day-0 support in SGLang-Omni — the first inference backend to support the MossTTSLocal architecture, with an OpenAI-compatible /v1/audio/speech endpoint, streaming, and voice cloning. See the cookbooks: moss_tts_local, moss_tts.
2026.6.18: 🚀 Released MOSS-TTS-Local-Transformer-v1.5, a 4B MossTTSLocal checkpoint that inherits all v1.5 features (language tags, stable cloning, explicit pause control, etc.), scales the backbone from Qwen3-1.7B to Qwen3-4B, and uses MOSS-Audio-Tokenizer-v2 for native 48 kHz stereo output.
2026.6.7: 🚀 Released MOSS-Audio-Tokenizer-v2, natively supporting 48 kHz stereo input and output. Check out the MOSS-Audio-Tokenizer repository for more details!
2026.6.2: 🚀 vLLM-Omni now supports the full MOSS-TTS series (MossTTSDelay, MossTTSRealtime, and MossTTSNano architectures), including MOSS-TTS-v1.5, MOSS-TTS, MOSS-TTSD, MOSS-SoundEffect, MOSS-VoiceGenerator, MOSS-TTS-Realtime, and MOSS-TTS-Nano. See the recipe and examples.
2026.5.26: 🚀 Released MOSS-SoundEffect-v2.0, a new text-to-audio model using a DiT backbone with the Flow Matching objective, generating 48 kHz bilingual sound effects up to 30 seconds — see moss_soundeffect_v2/.
2026.5.26: 🚀 Released MOSS-TTS-v1.5, with stronger multilingual synthesis when language tags are provided, more stable voice cloning, better long-reference short-text cloning, punctuation-following prosody, and explicit pause control via [pause X.Ys].
2026.5.6: 🚀 MOSS-TTS and MOSS-Audio-Tokenizer now support mlx-audio. Visit the mlx-audio GitHub repository for details.
2026.4.29: 📝 MOSS-TTS 2.0 is coming soon! We are collecting TTS feedback, suggestions, and feature requests via the requirements collection form.
2026.4.13: 🚀 MOSS-TTS-Nano, our ~100M-parameter model, is now available! It supports multilingual voice cloning, 48 kHz stereo input/output, and streaming output on just 4 CPU cores. Check the GitHub repository and our blog for more details.
2026.3.31: 📄 Our technical reports for MOSS-TTSD and MOSS-VoiceGenerator are now available on arXiv!
2026.3.26: 📘 Added a tutorial on fine-tuning the MOSS-TTS-Realtime!
2026.3.20: 📄 Our technical report is now available on arXiv!
2026.3.18: 🚀 Added a first-class MOSS-TTS llama.cpp implementation in the companion repository OpenMOSS/llama.cpp, including end-to-end docs and a runnable pipeline for GGUF backbone inference plus ONNX audio codec decoding. See the first-class e2e guide.
2026.3.16: 📘 Added a tutorial on fine-tuning the MossTTSLocal architecture, suitable for MOSS-TTS-Local-Transformer!
2026.3.12: 🚀 Added SGLang backend support for the MossTTSDelay architecture, enabling efficient inference for MOSS-TTS (Delay) and MOSS-SoundEffect, with around 3× faster generation throughput!
2026.3.11: 📘 Added a tutorial on fine-tuning the MossTTSDelay architecture, suitable for MOSS-TTS(Delay), MOSS-TTSD, MOSS-VoiceGenerator, and MOSS-SoundEffect!
2026.3.10: ⚡️ Significantly optimized the VRAM usage of llama.cpp inference pipeline. Now 8B model fits onto 8GB GPUs!
2026.3.4: 🚀 Added PyTorch-free inference support — enabling lightweight on-device deployment via llama.cpp + ONNX Runtime. Quantized GGUF weights are released at OpenMOSS-Team/MOSS-TTS-GGUF, and the ONNX audio tokenizer is available at OpenMOSS-Team/MOSS-Audio-Tokenizer-ONNX. See the llama.cpp backend for details.
2026.3.4: 🎉 We add MOSS-TTS skills in ClawHub of 🦞 OpenClaw: feishu-voice-tts and moss-tts-voice.
2026.2.10: 🎉🎉🎉 We have released MOSS-TTS Family. Check our Blog for more details! Our Huggingface Space is here: MOSS-TTS, MOSS-TTSD-v1.0, MOSS-VoiceGenerator.

Demo

MOSS-TTS Family

Related Skills

obsidian

385.5k

Work with Obsidian vaults using the official obsidian CLI: read/search/create/edit notes, tasks, links, properties, plugins.

html-anything

8.1k

✨ The agentic HTML editor — your local AI agent writes the HTML, you ship it. 🚀 75 Skills × 9 Surfaces (magazine · deck · poster · XHS / tweet · prototype · data report · Hyperframes) 🛡️ Sandboxed preview · 📤 1-click to WeChat / X / Zhihu / HTML / PNG 🔑 Zero API key — Claude Code / Cursor / Code…

openpencil

4.7k

The world's first open-source AI-native vector design tool and the first to feature concurrent Agent Teams. Design-as-Code. Turn prompts into UI directly on the live canvas. A modern alternative to Pencil.

openpencil

4.7k

OpenMOSS

View profile

View on GitHub

GitHub Stars4.0k

CategoryDesign

Updated1h ago

Forks352

OpenMOSS/MOSS-TTS

Languages

Python

Security Score

100/100

Audited on Aug 8, 2026

No findings