Music lovers can also use these visualizers to visualize their playlists and take them to the next level, as a sound music visualizer should generate imagery and patterns in sync with the audio in real-time. This way, they can increase their fan base on video content platforms like YouTube.
it would have to be written and compiled in highly optimized C, no way around that.Music visualizers are very important, especially to music creators and podcasters, as it enables them to visualize their audio using its frequency spectrum, rhythm, and loudness. Would be interesting if it could be pulled off using entirely the original hardware. This topic has kind of peaked my interest because I have been meaning to write a program to do something like this one day on a vintage mac, but my plan was to use external hardware for sampling etc. a 486 could do it with Goldwave, but only like a 7 band visualizer. However given the knowledge we have today with doing oscillographs and DFT/FFT on a RISC microcontroller, it can probably be done.īack in the old days, I used CD Spectrum Pro on windows and it worked ok but it really needed a pentium. But again, the sampling takes the most amount of overhead and RAM.ĭid software exist to do this back then? Yea kinda. Spectrum Analyzer visualization FFT? You may be able to use some optimized routines that were targeted for 8-bit MCUs like the Atmel AVR/PIC since they are table based. Lots of math work that an FPU would be good at doing, but with a certain degree of error, can be done with integers only. Then this table is painted in a graph on screen. you basically have to sample the audio at a given frequency, and record the dB levels of each sample in a table for a given time period. You may be able to use integer-based math and show an "oscilloscope" like waveform on the screen, but it certainly wont be fast. To do those kinds of visualizations takes an immense amount of processing power.
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