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Reducing Ambient Noises 223<br />

processors to remove harmonic noises or unwanted transients, you end up<br />

asking too much of the broadband processor, which repays you with a signature<br />

“I’ve been noise reduced” sound. The trick is to identify your particular<br />

noise problem and then apply the correct processors in the right sequence<br />

and in the proper amount.<br />

Remember, you’re not mixing the dialogue at this point—save that for later.<br />

Right now you’re just doing cleanups that would be too time-consuming or<br />

expensive in the dialogue premix. Don’t bother with the shelving and<br />

“shaping” that naturally apply to all of the dialogue elements. Almost all of<br />

your tracks will have some low-frequency rumble, which the mixer will roll<br />

off in the premix. Don’t attack these problems in your cutting room; address<br />

only the odd but exceptional noise problem there.<br />

A Typical Noise Reduction Plan<br />

The following paragraphs describe a typical multipass noise reduction<br />

sequence. Usually, you will work in this order:<br />

1. Use fi lters to remove rumble, buzz, and hum.<br />

2. Use interpolation processors to remove crackle that occurs when<br />

words are being spoken.<br />

3. Use broadband processors to remove random noise.<br />

4. Use fi lters again to remove remaining harmonic problems.<br />

Rumble, Hum, and Buzz Removal Create an FFT or spectrogram of your<br />

noise, 6 and look at the low-frequency information (below 500 Hz), as shown<br />

in Figure 12-10. If you’re chasing a harmonic problem like a rumble, hum, or<br />

buzz, you’ll notice a distinct pattern. Look for the lowest-frequency peak in<br />

the FFT—that’s the fundamental frequency of the noise. You should easily<br />

see harmonics occurring at multiples of the fundamental frequency. You can<br />

also analyze harmonic patterns using a spectrogram, as shown in Figure<br />

12-11.<br />

Write down the center frequencies of the fundamental and its harmonics, up<br />

to the tenth harmonic (or until you can’t stand it any longer). Note the<br />

6 An FFT, or Fast Fourier Transform, equation is a method of studying a signal in the<br />

frequency domain rather than in the time domain (in which we live). Sonic Studio and a<br />

few other DAWs provide an FFT display for analyzing a signal. Pro Tools has no onboard<br />

means of doing this, but a number of plug-ins allow you to create a display showing the<br />

signal FFT. A spectrogram is another means of displaying frequency domain sound<br />

information.

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