MOSS-SoundEffect v2.0: Open Source Sound Design at Broadcast Quality

The OpenMOSS Team released MOSS-SoundEffect v2.0 on May 26, 2026, a 1.3 billion parameter diffusion model that generates targeted sound effects and environmental audio from text descriptions under Apache 2.0. The model outputs at 48 kHz, above the 44.1 kHz output of most professional AI audio tools released to date.

What It Generates

MOSS-SoundEffect v2.0 covers the categories most relevant to film sound design. Natural environments include rain, wind, forest, and ocean audio. Urban scenes extend to traffic, crowds, and construction.

The model also handles animal sounds, human action audio, and percussive clips. Each generation runs up to 30 seconds with controllable duration. Both English and Chinese text prompts are supported.

Architecture and Specifications

The model uses a Diffusion Transformer (DiT) architecture trained with a Flow Matching objective. Text conditioning runs through a Qwen3-1.7B encoder; audio encoding and decoding are handled by a DAC VAE codec. At 1.3 billion parameters, the model is comparable in scale to other production-grade open source audio releases.

48 kHz and Broadcast Delivery

The 48 kHz output rate is the specification that most clearly separates MOSS-SoundEffect v2.0 from current peers. Stable Audio 3, released three days earlier by Stability AI, outputs at 44.1 kHz, the CD standard for consumer audio. MOSS-SoundEffect v2.0 outputs at 48 kHz, which matches the delivery specification for theatrical and broadcast audio set by the Society of Motion Picture and Television Engineers.

That distinction has a practical consequence. Audio from MOSS-SoundEffect v2.0 integrates directly into professional post production pipelines without sample rate conversion, removing a step that can introduce minor artefacts in DaVinci Resolve, Pro Tools, or similar tools.

For Foley and Sound Design

MOSS-SoundEffect v2.0 generates custom Foley and ambience assets directly from a text description, with no sound library required. A filmmaker building a crowd scene or an exterior ambience writes a description; the model returns audio at broadcast quality ready for the edit.

The scope is narrower than music generation models but higher in output fidelity for targeted sound design. HunyuanVideo Foley handles audio generation synchronized to existing video; MOSS-SoundEffect v2.0 operates from text alone, without requiring a video reference. The two models address different points in the post production audio workflow.

License and Access

MOSS-SoundEffect v2.0 is released under Apache 2.0. Commercial use, redistribution, and modification are all permitted without revenue thresholds or additional licensing steps. The weights are hosted on HuggingFace under the OpenMOSS-Team organization and the source code is available in the MOSS-TTS repository on GitHub.

The OpenMOSS Team is affiliated with Fudan University and has published audio generation research under open source terms since its earlier MOSS language model work.

Filmmakers can generate sound effects and ambience for their projects in the AI FILMS Studio sound workspace.

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Sources

HuggingFace: OpenMOSS-Team/MOSS-SoundEffect-v2.0 GitHub: OpenMOSS/MOSS-TTS License: Apache 2.0