Here's a breakdown of how it works:
1. Audio Analysis: The player continuously analyzes the audio signal, breaking it down into different frequency ranges (like bass, midrange, and treble).
2. Algorithm Application: The chosen visualization uses an algorithm to interpret the frequencies and amplitude. Different visualizations have different algorithms, leading to different visual styles.
3. Visual Effects: The algorithms then translate this audio data into visual effects, such as moving shapes, colors, and patterns. These visuals change and react in real-time based on the music playing.
Think of it like this: The audio signal acts like a blueprint. Each visualization has its own way of interpreting this blueprint and turning it into a visual representation.
Examples of Visual Effects:
* Bars/Sliders: The height of the bars or sliders represents the amplitude of the audio signal in different frequency ranges.
* Waves: These visualizations simulate ocean waves, with the wave's height and movement correlating with the audio's amplitude and frequency.
* Particles: Particles move and change color based on the audio's frequency and amplitude.
* Abstract Patterns: These visualizations create abstract shapes and patterns that change dynamically based on the audio signal.
While visualizations don't depict specific elements of the music like lyrics or instruments, they offer a visually engaging way to experience the energy and rhythm of the audio.