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Resound is the AI podcast editor for creators. It detects filler sounds, long silences, background noise, and more common mistakes in your audio to automate the tedious editing process. You upload your file(s), process, review the results in a gamified experience, and export to share with the world.
Resound’s core feature is filler sound detection, which was built as an in-house machine-learning model.
After 4 years of research and training, Filler Sound Detection V1 is here!
This new machine learning model has reached nearly a 90% acceptance rate among test users (the percentage of edits users accept).
Translation? Filler Sound Detection is insanely accurate.
You can expect less false alerts, more precise boundaries, and the model is smart enough to even leave in some ums that it anticipates you'll want to keep (gotta stay authentic, right?).
90% is extremely high, but this doesn’t tell the whole story.
We’ve reached a level so accurate that even pro audio engineers cannot consistently agree on how to properly edit the last 10% of edits.
Join 11,000+ users who are saving hours of their time editing their podcasts with AI. Podcast editing has never been easier with Resound.
