Cleaning speech from noise is like tuning an old TV: twist the contrast knob too far, and faces become unnatural. Researchers separately adjusted the 'volume' and 'time shift' for each frequency of sound, as if splitting it into a rainbow — a method known as spectroscopy. It turned out the key knob is volume, not phase synchronization. Overzealous noise suppression, this acoustic entropy, hollows out the signal, and a computer trained on live recordings stops recognizing words. Sometimes a little noise serves as a useful clue — much like in photometry, where starlight flicker carries information. Paradox: the Whisper system, raised on dirty audio, hears worse after a perfect cleanup. Meanwhile, wav2vec2.0 prefers aggressive cleaning. There's no one-size-fits-all, but the method, rooted in the work of Fourier, lets you quickly find the sweet spot. Just add virtual knobs, and any speech enhancer will befriend any voice assistant without lengthy retraining.