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Waves DeEsser is a dynamic processing plugin designed to attenuate sibilance and harshness in high frequencies within an audio signal. It is primarily intended for vocal productions (singing, voice-over, podcast, audiobook, narration) where the goal is to improve intelligibility without letting "s" and "sh" consonants become too prominent after EQ or compression. Thanks to its gradual action, it is also well suited to soften sources rich in transients such as cymbals, drum loops, or to "smooth out" the sometimes harsh brightness of certain synthesizers and digital processing.
To adapt to very different voices and recordings, DeEsser offers two sidechain modes. The Highpass mode works on a broad range to reduce the most intrusive sibilance over a wide spectrum, ideal when "s" sounds vary greatly between words. The Bandpass mode, on the other hand, allows you to lock onto a narrower problematic area to precisely target the frequency triggering the harshness.
The workflow is intentionally straightforward: select the area to treat (from 2 kHz to 16 kHz), then adjust the Threshold to control the amount of reduction. The plugin uses a hard-knee compression logic, which makes it easier to achieve a clean and controllable result. The attenuation meter allows immediate visualization of the amount of suppression applied, useful for finding the best balance between smoothness and naturalness.
The Split mode applies reduction only to the high frequencies, for maximum sibilance rejection when sibilance dominates the signal. The Wideband mode, which is gentler, acts on the entire spectrum and is often very effective on vocals, especially when a transparent result is desired. This mode also avoids the impact of a crossover in the processing path, preserving timbral coherence.
To quickly refine targeting, DeEsser allows you to pre-listen to what is being removed: a very effective method to confirm that you are catching the "s" and "sh" sounds without removing useful brightness. Presets are included for male and female voices, as well as for broader contexts like full mixes, providing a relevant starting point and saving time during sessions.
