You can also download a 21-day free trial, without any other restrictions, at .Īs a solo developer, I put a lot of care into my work and really thrive on feedback - so if you have any questions or suggestions, please let me know :). I just released the first public version on the Mac App Store today, for an introductory price of $49.99 US. It’s been in beta for two months, and I’ve gotten some great feedback from dialogue editors, voice actors, and other folks who’ve used it in their projects. On Apple Silicon Macs (highly recommended, if not strictly required), it runs entirely on the Neural Engine, which massively accelerates processing while leaving the CPU cool (and the fans off). It can handle single files or many at a time. The app itself is a batch processor with a simple drag-and-drop interface. For example, I have another module in the pipeline to handle lav-related noise: clothing rustle, muffled dialogue, etc. I’m always open to suggestions, and happy to fine-tune it for specific use cases wherever possible. The model continues to evolve as I add more samples to the training data. Hush builds on the transformer architecture the technology that. The app makes it easy to produce clean voiceovers, podcasts, audiobooks, and dialogue without an isolation booth or professional studio. as well as room reflections from a wide variety of indoor spaces. You can hear a quick demo over on the website. Ian Sampson has announced the release of Hush, a macOS app that uses AI to remove background noise and reverb from recorded speech. I designed the model myself, and trained it on a large dataset of common noise types: ventilation, traffic, honking horns, barking dogs, chirping birds, etc. Just wanted to share an app I made that post-production folks might find useful. It’s called Hush, and it uses AI to automatically remove background noise and reverb from dialogue (and other spoken audio) - with minimal artifacts.
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