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Denoise is designed to reduce stationary noise, including broadband noise, in audio signals. Stationary noise can include tape hiss, microphone hum, power mains buzz, camera noise and other types of noise that do not change in level or spectral shape throughout the recording.
Training Denoise:
Denoise can learn the type of noise you want to remove from the recording to give you the best results. To train Denoise, select a section of the recording that contains only noise and click Train. This will create a noise profile that Denoise will use to process the recording. If you do not have a section of the recording that contains only noise, selecting a quiet region of the recording that contains mostly noise can also work.
Note: The noise profile will be valid only for the currently selected FFT size, current sampling rate and number of channels. If either of these parameters changes, the noise profile should be re-collected with the updated parameters for accurate noise reduction results.
Noise Spectrum Display:
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The Noise Spectrum display shows useful information during both playback and when the noise reduction process is being applied.
Color Legend
Purple curve (Input) - spectrum of input audio signal
Yellow curve (Output) - spectrum of denoised (output) audio signal
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Blue curve (Noise Profile) - equals learned noise profile + threshold elevation control
White curve (Residual Noise) - desired noise floor after denoising, can be controlled by Reduction and Residual whitening controls (Advanced mode only)
Scrolling and Zooming - by grabbing and moving the horizontal and vertical rulers, you can adjust what part of the graph is shown. In addition, holding the pointer above a ruler and using your mouse wheel will zoom the display in and out.
Simple Mode controls:
Algorithm - affects the quality and computational complexity of the noise reduction. This selection directly affects CPU usage.
Noise Reduction (dB) - controls the desired amount of noise suppression in decibels.
Smoothing - helps minimize 'musical noise' artifacts introduced during the noise reduction process.
Output Noise Only - outputs the difference between the original and processed signals (suppressed noise)
Advanced Mode controls:
Threshold (tonal/broadband) - controls the separation of noise and useful signal levels.
Higher threshold settings reduce more noise, but also suppress low-level signal components. Lower threshold preserves low-level signal details, but can result in noise being modulated by the signal. Threshold elevation can be done separately for tonal and random noise parts. A good default is 0 dB.
Reduction (tonal/broadband) - controls the desired amount of noise suppression in decibels.
Denoise can automatically separate noise into tonal parts (such as hum, buzz or interference) and random parts (such as hiss). The user can specify the amount of suppression for these parts separately (e.g. in some situations it can be desirable to reduce only unpleasant buzz while leaving unobjectionable constant hiss). Strong suppression of noise can also degrade low-levels signals, so it's recommended to apply only as much suppression as needed for reducing the noise to levels where it becomes less objectionable.
Artifact Control
Global Smoothing - Determines how much noise reduction will depend upon wide band gating or spectral subtraction.
With low values, the noise reduction will rely more heavily upon wider band gating which can produce less artifacts than a spectral noise reduction.
With higher values, noise reduction will rely upon spectral subtractions which can more accurately separate noise from the desired audio signal.
Fine Smoothing - controls the reduction of artifacts known as 'musical noise' that can result from heavy denoising. Musical noise is caused by random statistical variations of noise spectrum that cause random triggering of sub-band gates.
TIP: Bring this to a low value where artifacts become apparent and then raise the control just to the point where artifacts disappear.
RX Advanced Only controls:
Adapt to changing noise profiles
This option will allow Denoise to alter its noise profile based on the incoming changing noisy audio. The specified learning time will allow RX to analyze incoming audio, decide what is noise and what is desired audio material, and adjust its noise profile accordingly.
An incredibly powerful feature, adapting noise profiles can work well with noise sources that are constantly evolving particularly in post-production film settings or outdoor environments.
MNS algorithm - selects the smoothing algorithm for the removal of random ripples that can occur in the spectrogram when processing your audio. These sounds are referred to as 'musical noise' and can be described as sounding 'watery'.
The strength of smoothing is controlled by the 'Musical noise suppr.' slider.
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Simple algorithm performs independent noise gating in every frequency channel of FFT. Release time of sub-band gates is controlled by the Release control. This is a fast algorithm with small latency that is suitable for real-time operation.
Advanced and Extreme algorithms perform joint time-frequency analysis of the audio signal which results in better quality and less 'musical noise' artifacts. These algorithms have higher latency and computational complexity.
FFT size (ms) - selects the time and frequency resolution of the processing. Higher FFT sizes give you more frequency bands allowing you to cut noise between closely spaced signal harmonics, or cut steady-state noise harmonics without affecting adjacent signals. Lower FFT sizes allow for faster response to changes in the signal and produces less noisy echoes around transient events in the signal.
Note: Whenever FFT size is changed, it's recommended that the user retrain the Denoise's noise profile because the old noise profile was taken at a different FFT size and therefore becomes inaccurate.
Release (ms) - selects the release time of sub-band noise gates in milliseconds
Longer release times can result in less musical noise, but may also reduce or soften the signals initial transients or reverb tails after the signals decay.
Note: The Release control is only available when the 'Simple' MNS Algorithm is selected.
Multi-resolution - enables multi-resolution for the selected algorithm type
When you select the 'Multi-resolution' checkbox, the signal is analyzed in real time and the most appropriate FFT size is chosen for each segment of the signal. This is done to minimize the smearing of transients and at the same time achieve high frequency resolution where it is needed.
Note: The FFT size control does not have any affect in multi-resolution mode as the FFT resolution is selected automatically. The noise profile does not need to be re-learned when switching to Multi-resolution mode.
Residual Whitening - modifies the amount of noise reduction (shown by light blue curve) applied at different frequencies to shape the spectrum of the residual noise.
When residual whitening is zero, the suppression is uniform at all frequencies, as controlled by Reduction (tonal/broadband) sliders, and the suppressed noise has a similar spectral shape to the original noise. When residual whitening is maximal, the desired shape of suppressed noise floor is made close to white, so that residual noise has more neutral sound.
Harmonic enhancement - predicts a signals harmonic structure and places less noise reduction in areas where possible signal harmonics could be buried in noise. This aids in at least preserving high-frequency signal harmonics that may be buried and not detected otherwise. It can make the resulting signal brighter and more natural sounding, but high values of harmonic enhancement can also result in high-frequency noise being modulated by the signal.
HF Synthesis - improves upon any dullness as a result of Denoise processing by resynthesizing high frequency signal content. A higher value will give the maximum amount of resynthesis while 0.0 will turn this feature off.
Knee sharpness - controls how surgical the algorithm's differentiation is between the signal and noise.
This slider controls the bending 'knee' softness in the denoising process. With higher values, transitions in the denoiser are more abrupt and can become prone to errors in the detection of the signal with respect to the noise. When the sharpness is reduced, the denoising becomes more forgiving around the knee, and applies less attenuation to signals that are only slightly below the threshold. This may result in a lower depth of noise reduction, but can also have fewer artifacts.
Suppression Masking - enables a psychoacoustic model that dynamically controls suppression amount to facilitate the use of softer suppression where noise is subjectively inaudible. When noise in certain regions is calculated to be inaudible, this feature prevents any signal processing in these regions. This potentially reduces amount of processing done to the signal and may positively affect overall signal integrity. The position of the slider controls the influence of psychoacoustic model on suppression levels.
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Note:When this slider is set to 0, the feature is turned off, and the amount of noise suppression is uniformly governed to the white curve in spectrum analyzer (more precisely - by the difference between the white curve and blue curve).
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Additional Denoise Features:
Noise Suppression Envelope - This feature allows for fine tuning of the noise suppression envelope with up to 26 edit points. This enables the user to customize the amount of noise reduction being applied across different frequency regions.
Add an edit point - Left-click, displayed as gray box along envelope curve
Remove an edit point - Right-click (CTRL click on Mac) or drag it outside the screen
Envelope Show - This controls whether or not the suppression envelope points are visible or hidden. The modified envelope will always be applied even when edit points are hidden.
Envelope Reset - This will remove all edit points.
Envelope Smoothing- This controls the amount of interpolation between your suppression envelope points, allowing for sharper or more gradual envelopes.
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