{"id":6214,"date":"2022-10-24T22:03:00","date_gmt":"2022-10-25T02:03:00","guid":{"rendered":"https:\/\/splice.com\/blog\/?p=6214"},"modified":"2024-02-14T15:08:19","modified_gmt":"2024-02-14T20:08:19","slug":"frequency-domain-introduction","status":"publish","type":"post","link":"https:\/\/splice.com\/blog\/frequency-domain-introduction\/","title":{"rendered":"The frequency domain: What it is and how to use it in music"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">When you drop a drum loop into your project or record some vocals with a microphone, chances are it\u2019s going to be represented as a waveform in your DAW.<\/h1>\n\n\n\n<p>But what if there were other ways to visualize audio signals\u2014ways that let you look more closely at the sound and understand what it\u2019s really made of? The frequency domain unlocks information about our sounds that\u2019s unique from what the time domain offers. Below, we share what the frequency domain is and how analyzing it can be useful to us.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">The time domain vs. the frequency domain<\/h2>\n\n\n\n<p>Let\u2019s take a quick step back first. Your trusty old waveform is represented in the <strong>time domain<\/strong>, in which the amplitude of a signal is measured as a function of time. Amplitude in turn measures vibration, which produces sounds that we can listen to. This is shown as voltage in something like an analog synth or a mixing console, and as values between 1 and -1 in the DAW.<\/p>\n\n\n\n<p>Most of the time, we\u2019re looking at waveforms in the time domain because it\u2019s a straightforward way of representing a sound as a single, continuous vibration. This makes a lot of audio tasks like chopping, rearranging, and fading more intuitive.<\/p>\n\n\n\n<p class=\"has-text-align-center has-small-font-size\"><img decoding=\"async\" width=\"2000\" height=\"563\" class=\"alignnone size-full wp-image-6215 lazyload\" data-src=\"https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/oscilloscope-vs-waveform.png\" alt=\"introduction-to-frequency-domain-oscilloscope-waveform\" data-srcset=\"https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/oscilloscope-vs-waveform.png 2000w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/oscilloscope-vs-waveform-400x113.png 400w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/oscilloscope-vs-waveform-1024x288.png 1024w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/oscilloscope-vs-waveform-355x100.png 355w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/oscilloscope-vs-waveform-768x216.png 768w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/oscilloscope-vs-waveform-1536x432.png 1536w\" data-sizes=\"(max-width: 2000px) 100vw, 2000px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 2000px; --smush-placeholder-aspect-ratio: 2000\/563;\" \/><br>A square wave run through an oscilloscope (left) and a vocal waveform in Ableton Live (right).<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">What <em>is<\/em> the frequency domain?<\/h2>\n\n\n\n<p>Then we have the <strong>frequency domain<\/strong>, which is where things start to get really interesting. Rather than looking at sound as a single vibration, what if we broke it down into a collection of individual frequencies?<\/p>\n\n\n\n<p>A <strong>Fourier transform<\/strong> is one way to accomplish this. It works on the principle that any sound at any point in time can be represented as the sum of many different sine waves. Think of it as taking <a rel=\"noopener noreferrer\" href=\"https:\/\/splice.com\/blog\/whats-in-a-wave\/\" target=\"_blank\"><strong>additive synthesis<\/strong><\/a> to the max\u2014a sawtooth wave from a synthesizer and a dog bark can both be split up into the same building blocks (sine waves), just like how a C major triad can be broken down into the notes C, E, and G.<\/p>\n\n\n\n<p>This may come as a surprise, but you\u2019re actually working in this dimension every single time you use a plugin like Ableton\u2019s Spectrum or one of many EQ plugins that show the frequency spectrum of incoming audio.<\/p>\n\n\n\n<p class=\"has-text-align-center has-small-font-size\"><img decoding=\"async\" width=\"2000\" height=\"825\" class=\"alignnone size-full wp-image-6216 lazyload\" data-src=\"https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/introduction-frequency-domain-frequency-spectra.png\" alt=\"introduction-frequency-domain-frequency-spectra\" data-srcset=\"https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/introduction-frequency-domain-frequency-spectra.png 2000w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/introduction-frequency-domain-frequency-spectra-400x165.png 400w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/introduction-frequency-domain-frequency-spectra-1024x422.png 1024w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/introduction-frequency-domain-frequency-spectra-355x146.png 355w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/introduction-frequency-domain-frequency-spectra-768x317.png 768w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/introduction-frequency-domain-frequency-spectra-1536x634.png 1536w\" data-sizes=\"(max-width: 2000px) 100vw, 2000px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 2000px; --smush-placeholder-aspect-ratio: 2000\/825;\" \/><em><br><\/em>The frequency spectra of a square wave (left) and human vocals (right).<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">The time-frequency domain: The best of both worlds<\/h2>\n\n\n\n<p>One limitation of pure frequency domain analysis is that most sounds aren&#8217;t periodic\u2014they constantly change. As a result, you\u2019re only really able to see what makes up a sound during a single snapshot or interval in time.<\/p>\n\n\n\n<p>So, what happens if we try to combine these domains, and look at the spectral (frequency-based) content of audio <em>over time<\/em>, rather than at a specific moment? You enter the <strong>time-frequency domain<\/strong>, which allows us to do some really magical stuff with sound.<\/p>\n\n\n\n<p>For example, audio restoration tools like <a href=\"https:\/\/splice.com\/plugins\/39112492-rx-10-standard-au-by-izotope\">iZotope\u2019s RX 10<\/a> work in this dimension by analyzing incoming audio files and outputting a special image called a <strong>spectrogram<\/strong>, a graph that displays all of the frequencies (on the y-axis) and how they change over time (on the x-axis).<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"2560\" height=\"1657\" data-src=\"https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/RX-STD@2x-scaled.jpg\" alt=\"The time-frequency domain displayed in iZotope's RX 10.\" class=\"wp-image-23398 lazyload\" data-srcset=\"https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/RX-STD@2x-scaled.jpg 2560w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/RX-STD@2x-400x259.jpg 400w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/RX-STD@2x-1024x663.jpg 1024w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/RX-STD@2x-355x230.jpg 355w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/RX-STD@2x-768x497.jpg 768w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/RX-STD@2x-1536x994.jpg 1536w, https:\/\/splice.com\/blog\/wp-content\/uploads\/2019\/05\/RX-STD@2x-2048x1326.jpg 2048w\" data-sizes=\"(max-width: 2560px) 100vw, 2560px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 2560px; --smush-placeholder-aspect-ratio: 2560\/1657;\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center has-small-font-size\">RX 10 showing a waveform in blue and a time-frequency spectrogram in orange.<\/p>\n\n\n\n<p>RX 10 then lets you go in and edit this spectrogram image Photoshop-style, in order to make focused changes to the original audio file. Annoying features like clicks, pops, and background noise can easily be pinpointed and erased without affecting the rest of the recording, thanks to how the sound is being represented in the frequency domain (rather than in the time domain).<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Get creative<\/h2>\n\n\n\n<p>Spectral editing and processing also have creative uses, too. In order to create the track \u201cFormula,\u201d Aphex Twin did a bit of reverse engineering involving the time-frequency domain. He actually <a rel=\"noreferrer noopener\" href=\"https:\/\/twistedsifter.files.wordpress.com\/2013\/01\/aphex-twin-face-equatoin-formula-windowlicker-hidden-secret-image-embedded-in-music-spectrograpm.jpg?w=800&amp;h=471\" target=\"_blank\">loaded a photograph of a face (likely his own) into an audio tool called MetaSynth<\/a> and had it act as the spectrogram itself. You can also hear the result of <a rel=\"noopener noreferrer\" href=\"https:\/\/www.gearslutz.com\/board\/attachments\/electronic-music-instruments-and-electronic-music-production\/179472d1277118375-bass-sound-windowlicker-aphex-twin-window-licker.jpg\" target=\"_blank\">a spiral image being processed as a spectrogram<\/a> towards the end of his track \u201cWindowlicker.\u201d<\/p>\n\n\n\n<p>The moral of the story here? Yes, there\u2019s more than one way to represent sound\u2014and yes, there&#8217;s absolutely nothing stopping you from listening to your own face.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-text-align-center\">Explore the frequency domain with iZotope&#8217;s RX 10:<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link\" href=\"https:\/\/splice.com\/plugins\/39112492-rx-10-standard-au-by-izotope\" target=\"_blank\" rel=\"noreferrer noopener\">Try RX 10 Standard for free<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Learn about what the frequency domain is, how it differs from the time domain, and how you can use it for both audio repair and music composition.<\/p>\n","protected":false},"author":28,"featured_media":6219,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1696],"tags":[1667,1721,159,333,1473,1726],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.9 - 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