Introduction
In this project, we embark on an audio journey, crafting an 8-band software audio equalizer using the versatile toolset of MATLAB. Our aim? To grant users the power to fine-tune the frequency range of audio signals via intuitive sliders, all while providing the ability to listen to and preserve their equalized audio creations.
Methodology
We will utilize MATLAB to design the filter and use the 8 filters to filter the signal within the given band and we get the equalized signal output. Fast Fourier Transform is used to compute the FFT response of the signal, and plot those magnitude of data with respect to frequency on the figure. The major purpose of audio equalization in the early twentieth century was to compensate for the limitations of early recording and playback technologies. These systems have inherent frequency response inadequacies, resulting in imbalances in the reproduced sound. Engineers devised simple equalization strategies to increase or cut specific frequencies during the recording or playback process to address this. With the of movie sound in the 1920s, equalization advanced even farther. To improve the audio experience in movie theaters, the first graphical equalizers were created. These equalizers were made up of mechanical filters and adjustable potentiometers, allowing sound technicians to tailor the requency response based on the acoustics of the theater.