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![visualizer for spotify 2015 visualizer for spotify 2015](https://1.bp.blogspot.com/-m3LdJzRPWzY/VSvZvhUnMlI/AAAAAAAACe8/NQXHk3w4XFo/s1600/Led_Music_Effect_Pro.png)
Even though most audio visualizers are cooler looking than a 1 meter cube of jello, they both boil down to using the same essential tools. That’s it, that jiggly cube is a simplified version of the system we saw in the introduction video. Additionally, as the volume of the audio increases, the hue of the cube could change slightly with each increase of a couple decibels. So, if we see a spike in the 20-40Hz range, then we know there was a bass thump in the audio and we could make the cube jiggle a little bit. Then, the system listens to the audio in 1 millisecond chunks, performs spectrum analysis on that chunk, and looks for our desired information. To explain one of these systems by scenario, say we make an embarrassingly simple audio visualizer that starts as a 1 by 1 by 1 meter green cube on the user’s screen. So, visualizers are just aminations and effects that use volume and the frequency spectrum to alter predetermined elements of their current visual state. Here is a fun tool by Academo to help process what we just learned (make sure to check the ‘Sound On’ box once you get there): An interactive Wave Interference and Beat Frequency Tool by Academo Back to the point The higher the blue peak, the more often a sine wave of that frequency was heard during the 20 millisecond sound in the first picture. So, on the bottom of the above chart, we can see the frequency of the sine wave heard. May give us the following graph of the frequency spectrum: Additionally, not only do we see which frequencies, but we also see how much the same frequency is used for the duration of the sound. Frequency analysis used to break down a sound to see its frequency spectrum. We can understand what kind of sine waves are present in a sound by examining its frequency spectrum.
![visualizer for spotify 2015 visualizer for spotify 2015](https://www.tunemobie.com/images/resources/spotify-visualizer-jamescastells.jpg)
So, the sine waves that make up the sound of the screaming will be generally higher frequency than the sine waves that make up the sound of the bass thump. For example, the sound of a screaming baby has a higher frequency than the sound of the bass thumping in your car. So, for this discussion, just know that the higher the frequency, the higher the pitch. The frequencies of the sine waves that make up a sound wave determine the pitch of the sound you hear. Wikipedia has a great picture to help visualize this: So, a sound wave is actually multiple sine waves at varying frequencies put together. These waves change as time goes on and the sine function’s frequency determines how fast they change with time. To put it simply, sound waves can be represented by these wavy math functions called sine functions. So, let’s just stick to talking about music and sound. The frequency spectrum and its domain have great applications in all fields of applied physics, but we are not here to talk all day about it. The higher the blue peak, the more often a sine wave of that frequency was heard during the 20ms sound in the first picture.Įh, I’m not looking forward to reading that many words We can check out the frequency of the waves and how often they occur in the original sound sample by spectrum analysis that gives us a chart that looks some like this: For example, a baby screaming will be made up of higher frequency sine wave versus the sine waves that make up the thumping of the bass in your car. Important note: The higher a sine wave’s frequency, the higher the pitch of the sound it makes. The waves seen here are just some examples, we can theoretically hear these waves in the range of 20-20,000Hz. The number seen beside each wave is its frequency, or how many times it goes up and down per second. That sound wave is a combination of a bunch of less complicated waves called sine waves that look like this: This is how we see a sound wave when we want to understand it better: Just kidding, I would like the more thorough explanation TL DR
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