Makes me wonder why they don't record the sound of the fans and then invert that audio track and mix it with the mic channel before broadcasting the master channel so that the relatively periodic noise of the fan cancels itself out.
Makes me wonder why they don't record the sound of the fans and then invert that audio track and mix it with the mic channel before broadcasting the master channel so that the relatively periodic noise of the fan cancels itself out.
edit: also, the weird phasing artefacts this would introduce would be much more prominent and noticeable, even if it succeeded in reducing the overall volume. So much so that doing basically this ('flanging') is a standard musical effect for making parts sound psychedelic.
I suspect the logical end to that sort of thing is to use multiple microphones to add "depth" to your sound recording, then filter out sounds coming from sufficiently far away.
It worked for them and would work, so long as the person you are recording keeps their head very still. Any movement would change the parts of the sound emerging from their throat that gets cancelled by the cancelling mic.
The thing most people don't consider is that white noise (hiss, a fan) is readily tuned out by the brain - the brain is brilliant at reducing background noise - but artifacts introduced by artificial noise reduction are correlated to the signal and the brain interprets it as a distortion of the signal, not background noise.
That's why audiophile audio engineers fix the noise instead of using FFT noise reduction - at least whenever possible.
Basically, on playback, the steady state noise sounds much louder than it did when you are actually present in the room.
The same holds for the reverberation in a room, it will sound much louder on a recording than on location.
For example, if you record someone speaking in a reverberant space like a church, it will sound like they are in a very reverberant space. Which they are, when you are listening live, your brain filters out the "non-direct" sounds so you notice just the voice.
I'm pretty sure these noise filtering processes are related to the high priority the brain puts on understanding speech.
However FM radio always has white noise, so adding a little bit to it is probably better than adding any correlated noise from signal processing.
FFT noise reduction definitely has its place and I do use it from time to time. I just highly doubt "live on-air signal processing" is a good application given that the noiseprint is constantly changing.
Of course we notice different things about an object after taking a picture of it. But you've got to be very careful about cause/effect/bias.
That's interesting about animals. It seems likely that their auditory systems would be tuned for the type of stimuli that are vital for their survival. There would be a lot of overlap, but since it's hard to tell their subjective experience, it would take some clever testing to see how their perception of recorded sound would differ.
This is probably why the noise and echoes sound louder on a recording. They don't change the way that they should when I move my head, so my brain can't figure out how to cancel them.
On the first record I ever produced, I was credited with playing "furnace". We were recording in subzero January weather in Minnesota, and the furnace in my basement was very noisy. I'd go and turn it off, and we'd track as quickly as possible before the house got unacceptably cold and the furnace needed turned on again.
As an interesting aside, something a lot of newbie/hopeful audio engineers obsess about is "mic bleed", where the mic for one instrument picks up sounds from another. I mostly ignore this. Bleed is swamped by signal, and disappears into the mix. Even if a punch or edit fixes an error in the "bleed" instrument, it usually drowns out any error that remains in the bleed itself. Then again, audio engineering is full of a lot of nerding about second and third and even fourth-order effects, while ignoring first-order effects like "Is the song actually good?", "Is the performance good?"
I recently had to make a promo video for my startup on short notice, with a less-than-idea setup, and I did the exact opposite. I filled all of the 'silent' parts of the video with 'ambiance' because the sudden drop to absolute silence sounded very jarring.
I have no experience will audio engineering. I just thought it was interesting that we took opposite approaches to similar problems.
A better approach to "removing" bleed is instead to make sure the bleed sounds good.
Euphonic bleed is solid gold.
Amplifiers use negative feedback to cancel distortion out ( because it's correlated ). Some folks, like at Pass Labs, tend to avoid neg. feedback for philosophical reasons, and people like their amps. They use part selection and careful design instead.
Adding two uncorrelated signals together, you end up with a louder, uncorrelated signal.
There is "single-ended noise reduction" ( the version I use is from CoolEdit 96 and CoolEdit 2000 ) but it leaves artifacts. It's still wonderful for things like single-coil hum, things with a limited spectrum.
However, you can take advantage of that because the sounds you want to keep generally are periodic at short timescales. You can use DSP filters to remove components of the sound that don't show significant autocorrelation. The same idea lets you remove white noise and random static from radio signals.
Getting two sounds to perfectly interfere is basically impossible. Real world sounds are way too complex for that.
Because the vocals are sometimes the only thing that's perfectly in the middle of the mix (balanced left/right), you can invert the left channel of a mix and then recombine it with the right to cancel out only the balanced tracks (so you're left with essentially an instrumental). Subtracting the instrumental track you've just created from the full song (again, by inverting and recombining), you should get the vocal track by itself. Fun stuff, right?
I'm not sure how well this works, as I've never done it myself, but it would seem like having the exact signal is important. As people have said, the fan noise isn't predictable enough to cancel using that technique. On the other hand...
I recently read about a machine learning application using K-means clustering in which you feed the algorithm sound from two microphones set up in the same room and it's able to separate the audio by who is speaking. I'm not sure how well such an algorithm would work when one sound is significantly louder than the other (such as quiet fans and people talking), but it certainly points to that being a possibility.
At the end of the day, the cleaner the source material, the easier it is to process in any fashion you want later on in the airchain. A lot of stations will have noise gates on their microphones, or even wideband gating before material hits the transmitter in some cases. With the right settings, it should be more than plenty.
The challenge is keeping those closets cool with ventilation that does not leak sound.
It's a point of pride in studio design today. The NPR article mentions similar isolation from the newsroom.
Fans have a tonal center around 110-220Hz, then a lot of harmonics that essentially generate pink noise... nothing that can be corrected in post production or flipping the phase.
[1] http://www.proaudioland.com/wp/wp-content/uploads/2014/08/po...
They can switch to SM7s or RE20s and achieve much better S/N with respect to air handling systems, but they want the "U87 sound" (they can keep it, too, IMO - it's painfully neutral) and that just entails a much higher "room noise to signal" ratio.