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Tutorial on Commonly Used Modules

This is our 3rd article on iZotope’s audio repair tool RX 7.
We will continue to look at editing using different modules.
Though many modules are included, I have chosen a few which I find personally useful and common to take a look at.

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1. May 01, 2017 1. Open an audio file in the RX Audio Editor or send it using RX Connect. Select the distorted portions of the audio and open the De-clip module. Set the Threshold to identify where the De-clip algorithm should begin to apply processing. For this example, a threshold of –8.4 dB worked well. Click Preview to hear the results. Adjust the threshold and quality settings as necessary.
2. Identifying Audio Problems. As with medical diagnostics, the key to successful audio restoration lies in your ability to correctly analyze the subject’s condition. This can be a life-long, never-ending quest, constantly honing the ear to distinguish the noises and audio events that need to be corrected.
3. RX Elements is the perfect introduction to the world of audio repair, offering essential tools to remove noise, clipping, clicks, and other problems that plague small studios. Get four of our best repair tools, a standalone audio editor, and the brand new Repair Assistant at an affordable price.

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May 16, 2017  iZotope RX6 Advanced - Audio Repair Plugin - New Features Tour. From noise reduction to removing clicks to fixing distortion, RX is a complete toolkit for clean up and audio restoration needs.

De-hum

First take a listen to this sample.
https://sleepfreaks-dtm.com/wordpress/wp-content/uploads/2020/03/Hum_Crackle_pre.mp3

We can hear a low humming noise as well as a constant crackling sound as well.
Lets try to get rid of these.

We will be using De-hum to remove the hum noise.

Hum noise is usually based around low frequencies in the 50-60Hz range, and is a noise that contains a number of harmonics.
We could select 50 or 60Hz from Base Frequency, but if you want AI to make the choice for you, click the Suggest button at the top.

This will analyse the sample and Free mode will allow it to set a more accurate frequency.

The hum noise can been reduced greatly but if the voice has been negatively effected as well, we can lower the number of harmonics down right on the brink of effecting the main sound. We can do this from the Number of harmonics fader.

Next lets adjust the amount of cut. You can make changes from the screen, but the frequency points can get shifted in free mode so we’ll enter numerical changes below.

Find a point where the noise isn’t noticeable yet the vocal remains clean.

For the low end, you can cut up until the point where it starts effecting the vocal. We will turn the High-Pass Filter on and cut under 100Hz.

Though you most likely won’t be using the Low-pass-filter, it may be necessary depending on the type of noise present.

If we want to make more detailed edits on the harmonics we can choose a different Linking Type.

For the default ALL setting, moving the slider here will have a slope effect on all frequencies.
By selecting Odd/even you can control the odd and even harmonics separately.
The Slope slider will help lower the reduction effect on higher frequencies.
When None is selected the link is removed, allowing you to control the Gain of individual harmonics.

De-Crackle

Next lets look at getting rid of the crackling pop-like noises.
We will be using De-crackle.

• Quality：Low will work faster, while High will provide a better sound quality. Medium may yield better results than High depending on the situation, so its best to listen and compare this settings.
• Strength：Determines the strength of the effect, and a higher setting will get rid of more noise but can negatively effect the vocal sounds. Use “Output crackle only” to hear just the crackle sounds and find the right setting.
• Amplitude skew：Allows you to determine the amount of noise editing by the volume of the input signal. Turning it to the right focuses on the louder areas, while turning it to the left will do the opposite. We can set this higher if dealing with clipping noise, but for small detailed crackling noises such as this, it is best to set this parameter on the lower side.

For noise that couldn’t be completely removed, we can try using Spectral De-noise which we took a look at in our previous article.
https://sleepfreaks-dtm.com/wordpress/wp-content/uploads/2020/04/Hum_Crackle_processed.mp3

As you can hear, we have been able to clean up the audio.

De-reverb

Now lets change the sample audio and take a look at the unique De-reverb.
As the name implies, this helps remove reverb and room reflections in a recording.
First lets hear the sample for this example.
https://sleepfreaks-dtm.com/wordpress/wp-content/uploads/2020/04/Reverb_pre.mp3

We can clearly hear the reverb in this sample.
We will be using De-reverb on this audio.

Though all of these parameters may seem confusing, we can utilise RX 7’s special feature here and get some automatic settings using the Learn button.

To dive a little deeper into the editing, we can leave the Reverb Profile frequency settings set by Learn as is, and adjust the Reduction and Tail length to yield big results.

• Reduction： Increases the amount of reduction of reverb. We want to raise this higher but it will cut out vocal frequencies if set too high, so its best to adjust it to find the right balance.
• Tail length：The further right its pulled the more it works on longer reverb tails. If you get unnatural changes in the vocal sound, be sure to pull this back a little to the left.
• Artifact smoothing：Adjusts the frequency detail of noise removal. Setting it low results in some artefacts in sound, but will increase the amount of reverb reduction. If set higher, you will have less artefacts and a smoother sound, but more reverb will be left over. Its best to listen and find a balance in the middle.
• Enhance dry signal：Increases the volume of non-reverb sounds and expands the dynamic range. This works great on dialogue and human vocals.

The resulting audio after adjusting each parameter is as follows:
https://sleepfreaks-dtm.com/wordpress/wp-content/uploads/2020/04/Reverb_processed-1.mp3

Though its not a completely dry signal, a considerable amount of reverb has been edited out.

De-clip

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Next, if we happen to accidentally distort audio during recording we can use De-clip to remove clipping noise.

We have a sample prepared for this as well.
* Be aware that this sample is louder than the previous examples.
https://sleepfreaks-dtm.com/wordpress/wp-content/uploads/2020/04/Clip_pre.mp3

In de-clip we will first setup the threshold of clip sounds. We will use this histogram as a reference but it looks like nothing is displayed at the moment. The histogram will be updated depending on the selected area, so lets first select the portion with vocal audio contained.

If you still don’t see anything, zoom out in the Histogram. Because the majority of sound is clipping, we can see quite alot reflected in the higher volume areas.

By pressing the Suggest button, it will automatically set the Threshold to the suggested point.

Its clipping to the point that that nothing is visible in the center, so it’s set to 0dB. If the audio isn’t this distorted, we would set the threshold a little below the clip.

The remaining parameters work as follows:

• Quality：If your CPU can handle it we suggest using High. If your computer can’t handle the strain when using this as a plugin, use Medium or Low.
• Makeup gain：Most distorted recordings are too loud to begin with, so we will be lowering this. You could adjust this parameter so that the fixed audio matches the volume of your other takes as well.
• Post limiter：Applies a peak limiter at the end to prevent the edited audio from going over 0dBFS. Its best to tick this box.

Lets hear how the sample sounds after making adjustments.
https://sleepfreaks-dtm.com/wordpress/wp-content/uploads/2020/04/Clip_processed.mp3

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The sound is much cleaner and its hard to believe it was distorted.

This completes our look at some commonly used modules in RX 7.
RX 7 covers a vast field of noise/reverb related issues, so be sure to try it out for your own recordings!

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As with medical diagnostics, the key to successful audio restoration lies in your ability to correctly analyze the subject’s condition. This can be a life-long, never-ending quest, constantly honing the ear to distinguish the noises and audio events that need to be corrected.

To get started, it’s important to identify the problems with your file and identify which tool(s) will give you the results you want. Let’s briefly look at how to examine your audio using the spectrogram and waveform display tools, then consider how to identify audio problems using these displays.

What’s the goal of using a Spectrogram?

The aim of any good visualization tool for audio repair and restoration is to provide you with more information about an audible problem. This not only helps inform your editing decisions, but, in the case of a spectrogram display, can provide new, exciting ways to edit audio, especially when used in tandem with a waveform display.

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Hum

Hum is usually the result of electrical noise somewhere in the recorded signal chain. It’s normally heard as a low-frequency tone based at either 50 Hz or 60 Hz depending on where the recording was made If you zoom in to the low frequencies, you’ll be able to see hum as a series of horizontal lines, usually with a bright line at 50 Hz or 60 Hz and several less intense lines above it at harmonics. See the example below:

De-hum works best when frequencies of the hum do not overlap with any useful transient signals. You can learn more about the De-hum tool here.

Buzz

In some cases, electrical noise will extend up to higher frequencies and manifest itself as a background buzz. See the example below:

Hum-removal tools usually focus on low-frequency hum, so when the harmonics extend to frequencies above 400 Hz, the Spectral De-noise tool is often more effective at removing the problem.

Hiss and other Broadband Noise

Unlike hum and buzz, broadband noise is spread throughout the frequency spectrum and isn’t concentrated at specific frequencies. Tape hiss and noise from fans and air conditioners are good examples of broadband noise. In a spectrogram display, broadband noise usually appears as speckles that surround the program material. See the example below: 

Clicks, Pops, & Short Impulse Noises

Clicks and pops are common on recordings made from vinyl, shellac and other grooved media, but can also be introduced by digital errors, including recording into a DAW with improper buffer settings, or making a bad audio edit that missed a zero crossing. Even mouth noises such as tongue clicks and lip smacks fall into the clicks category. These short impulse noises appear in a spectrogram as vertical lines. The louder the click or pop, the brighter the line will appear. The example below shows clicks and pops appearing in an audio recording transferred from vinyl: 

The De-click tool can recognize, isolate, and then reduce and remove clicks like these.

Clipping

Clipping is an all-too-common problem. It can occur when a loud signal distorts the input to an audio interface, analog-to-digital converter, mixing console, field recorder, or other sound capture device. A spectrogram is not particularly useful for identifying clipped audio—for this you’ll want to work with a waveform display. As you’ll see in the image below, the clipping appears as “squared-off” sections of the waveform.

You can zoom in on a waveform and see in detail where the waveform has been truncated because of clipping.

The De-clip tool can intelligently redraw the waveform to where it might have naturally been if the signal hadn’t clipped. Sometimes, brickwall limited audio will also appear “squared off” when zoomed out, but this doesn’t necessarily mean it will sound as heavily distorted as clipped waveforms that have been truncated. You can zoom in to see if the tops of individual waveforms are clipped.

Intermittent Noises

Intermittent noises are different than hiss and hum—they may appear infrequently and may not be consistent in pitch or duration. Common examples include coughs, sneezes, footsteps, car horns, ringing cell phones, etc. The images below represent two different examples of these noises:

The Spectral Repair tool can help isolate these intermittent sounds, analyze the audio around them and attenuate or replace them.

Gaps and Drop Outs

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Sometimes a recording may have short sections of missing or corrupted audio. These are usually very obvious to both the eye and the ear! See the example below:

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Deleting the gap and then applying Spectral Repair to replace any missing audio can help fix these problems.