Tape It’s video demo shows Denoiser doing an impressive job on live performances, and that’s a very encouraging sign. As I said above, it’s not uncommon to experience a level of audio degradation, hopefully small enough to live with, but when it changes the character of the original sound, it’s a problem. The third area of focus is the most interesting: protecting the original sound. In addition to being free and fast, it’s straightforward to use after uploading an audio file, you have a slider to set the reduction strength and a bypass switch to compare to the original audio. That brings us to Denoiser’s three main areas of focus:ĭenoiser is free to use, and it delivers results quickly, so the first two areas of focus are easily covered. While we don’t expect perfection, we need an acceptable result, and thankfully, plugins and platforms offering this service are getting better all the time.Īnother issue, although there are exceptions, is that the most user-friendly services sometimes aren’t as polished, and the most polished services aren’t always user-friendly. With that in mind, it becomes about finding the best compromise between noise reduction/removal and a natural sound. The problem is that the process of removing background noise or separating stems usually leaves us with audio that is degraded or altered to some extent. Whether we are trying to remove nasty background noise or extract vocals from a track, we typically encounter the same problem. Removing unwanted noise from a recording is often a tedious process that rarely produces perfect results. ![]() ![]() Using AI this way versus creating instruments or chord progressions, for example, seems to be a little further down the line and, ultimately, more convincing (for now, at least). At this stage, I think it’s easier to get on board with AI software that tackles more practical tasks like noise reduction than creative tasks.
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