Design of 8 Band audio equalizer using MATLAB app Designer

Abstract

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.

Our toolbox includes a range of filters - from the gentle caress of low-pass to the sharp precision of high-pass and band-pass filters. To top it off, we'll fashion an elegant Graphical User Interface (GUI) to seamlessly handle audio files, apply equalization, and visualize signals in both time and frequency domains pre and post-filtering.

Audio equalizers, also known as EQs, are indispensable tools for sculpting soundscapes. Whether you seek to amplify or attenuate specific frequencies, these tools offer the means to shape audio's tonal qualities, perfecting sound quality or addressing equipment and recording deficiencies. The result? Enhanced clarity, depth, and auditory equilibrium.

From music production to home audio systems, equalizers find applications in diverse fields. They can be standalone units or integral components of audio setups. Furthermore, they extend their reach into the digital realm as software plugins for digital audio workstations and media players.

Utilizing MATLAB, we design filters and employ eight of them to finely adjust audio signals within specified bands, yielding impeccably equalized audio. We employ the Fast Fourier Transform (FFT) to unveil the frequency response of our signals, creating insightful magnitude-frequency plots.

The roots of audio equalization trace back to the early 20th century, a period marked by nascent recording and playback technologies. With inherent frequency response limitations, engineers devised equalization techniques to compensate for these deficiencies. The quest for audio perfection gained momentum with the advent of sound in theaters, giving birth to the first graphical equalizers. These pioneers featured mechanical filters and adjustable potentiometers, enabling sound technicians to tailor audio responses to the unique acoustics of each theater.

In conclusion, our MATLAB-powered audio equalizer project is a testament to the enduring quest for audio excellence, harmonizing technology and creativity in pursuit of sonic perfection

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 introduction of movie ound 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.