@audio/denoise vs Avidemux

@audio/denoise is a free web tool for cleaning recordings and listening to or saving the result. It handles targets including steady background noise, mains hum, clicks, pops, vinyl crackle, clipping, wind rumble, plosives, sibilance, room reverb, and noise between phrases. The page describes thirteen open-source restoration methods and a classifier. Automatic mode measures properties of a recording, selects a specialized method, and displays its plan; users can instead choose methods such as dehum, declick, declip, and gate. Audio is processed in the browser, and the page says it is not uploaded or sent off the device. The approach uses classical signal processing rather than AI noise removal. For music, the page identifies hum, clicks, crackle, and clipping as treatable, while advising light use of broadband denoising and comparison with the original. Machine-learning models may perform better on heavy speech-over-noise. The associated npm package processes mono Float32Array audio. Automatic mode does not choose dereverb, which must be selected explicitly.

Avidemux has no write-up on Specifiction yet; its figures are above.