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EFFECTS MENU 519
distortion and just moderate components of the desired signal. If the correction parameters
are too high, parts of the music or speech signal will also be filtered, which will lead to
music discoloration.
Bypass: The algorithm is removed from the signal route. This way the unedited signal can
be compared to the result of the algorithm.
DeHisser
This command opens the dehisser, which helps to remove noise. The dehisser eliminates
regular, low-level "white" noise, typically produced by recordings, microphones, pre-
amplifiers or transformers. Unlike with noise reduction, a sample of the distortion is not
required.
DeHisser – parameters and control elements
Correction (1-100): With this parameter a threshold value will be set for differentiating the
signal from noise. The right setting for this parameter is crucial for good results. In
comparison to noise reduction, where this setting will be automatically determined from the
noise sample, with the dehisser, you have to determine the noise level manually.
Low settings can lead to incomplete noise removal or increased artifacts. High settings can
cause discoloration of the original sample, phase-like distortion or chirping modulation
effects. The louder the noise, the more precisely your should try to set the dehisser.
Damping (0-30) dB: Here you can set the noise damping. The highest possible damping
value is 30 dB.
In practice, extremely quiet passages like the slow fading out of one instrument prove to be
critical; Here the noise level can exceed that of the audio signal.
Limit yourself to one low noise damping (-10, -15 dB) to avoid side effects like artifacts.
Music style: Here you can minimize artifacts by selecting a fitting music style to aid in
determining transients in the track and dehissing only between them.
Bypass: The algorithm is removed from the signal route. This way the unedited signal can
be compared to the result of the algorithm.
Inverse: If this switch is activated, you will hear only the part of the signal that is removed
by the algorithm. By optimally setting the correction parameters, you should only hear the