Thanks to our neural networks, it just takes a few seconds for pure:deess to analyze your vocal’s sibilance. During that time, it builds a ‘voiceprint’ – a profile of the sibilance characteristics for that particular voice, ready to use as a target for how the voice should sound when balanced properly. And pure:deess doesn’t just detect “Ess” sounds to build the profile; it computes the target profiles for Z, Sh, Ch and T phonemes individually, leading to a more natural sound that varies with the source content.

Set the Color parameter to Soft, Balanced or Sharp to define the sound of sibilants in the voice. Rather than just affecting the gain reduction amount, pure:deess uses the ‘voiceprint’ analysis to arrive at a new target spectrum for each sibilant sound. The Shaping parameter is linked to the chosen Color. When increased, this feature performs more spectral processing to the sibilant sound rather than broadband, uniform shaping.