OpenMOSS-Team has released MOSS-SoundEffect v2.0, a new text-to-audio model designed to generate high-fidelity environmental, urban, creature, and human-action sound effects from natural-language prompts. This version, which uses a Diffusion Transformer backbone, can generate audio up to 30 seconds at 48 kHz and supports both English and Chinese captions.
MOSS-SoundEffect v2.0 gives audio generation pipelines a longer-form, higher-fidelity option for non-speech sounds, with 30-second clips at 48 kHz and bilingual prompting built in. That matters for video workflows that need ambience, urban scenes, creatures, or human-action effects from text alone. The model also marks a technical shift inside the MOSS-TTS family from a discrete-token autoregressive backbone to a DiT plus Flow Matching design. The next signal to watch is whether the model gets broader deployment support beyond Hugging Face, since it is not currently deployed by any Inference Provider.
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